About

Dr. Prasanna Ghimire is a Consultant Radiologist, clinician-researcher, and Associate Professor at Kathmandu University, based at Nepalgunj Medical College & Teaching Hospital, Kohalpur, Nepal.

With 20+ years of clinical and academic practice, he has authored 70+ peer-reviewed publications in journals including PLOS ONE, World Journal of Gastroenterology, Radiology Case Reports, BMC Infectious Diseases, and Current Oncology, achieving an h-index of 11 and an i10-index of 13 (Google Scholar, 979 citations).

He serves as Editor of the Nepalese Journal of Radiology, reviewer for 9 international journals, IRC Member at NGMC, and Advisor to the Nepal Medical Association. He has mentored 7+ postgraduate radiodiagnosis students.

70+Publications
11h-index
20+Years
7+PG Students
Associate Professor of Radiology · Kathmandu University

Dr. Prasanna Ghimire

Consultant Radiologist · Clinician-Researcher · Academic Leader · Kathmandu University
Radiodiagnosis & Imaging Environmental & Occupational Health Rural Development Healthcare Management
Editor — Nepalese Journal of Radiology (2018–2025)
IRC Member — NGMC (2023–present)
Advisor — Nepal Medical Association, Bheri Branch
Reviewer — 9 international journals
Languages — English · Nepali · Hindi · French · Chinese
Dr. Prasanna Ghimire
Kathmandu University — Associate Professor
Nepalgunj Medical College & Teaching Hospital (Affiliated)
Five Domains of Practice
I 🔬
Radiodiagnosis & Nuclear Medicine
Associate Professor and Consultant Radiologist with expertise spanning gastrointestinal, musculoskeletal, neuroimaging, ocular, and vascular ultrasound. Training at Wuhan University, China (Government Scholarship) and Samsung Medical Center, Seoul.
GI Imaging MSK Ultrasound Neuroimaging CT Perfusion Ocular US Nuclear Medicine
II 🌿
Environmental & Occupational Health
Occupational & Climate Health
Investigating occupational health determinants, climate-health linkages, and environmental degradation impacts using Nepal DHS data. Active author in the GBD 2023 Collaborator Network on tobacco burden and LMIC health systems.
Climate & Health Occupational Safety Nepal DHS GBD Collaborator LMIC Research
III 🏔
Rural Development & Community Health
Community & Rural Systems
Over two decades of community health advisory work across Nepal. Applies rural development theory to health equity research, community-based interventions, and public health policy — with advisory roles at district and national levels.
Community Health Women's Health Health Equity Rural Systems Advisory
IV 🏥
Healthcare Management
Health Systems & Policy
Integrating clinical leadership with health systems thinking, including teaching and writing on research methods, programme evaluation and strategic management. Focused on hospital administration, health policy, and quality improvement within Nepal's evolving health sector.
Health Systems Hospital Administration Quality Improvement Health Policy
V 🤝
Volunteer & Social Work
Community Service · Since 2002
Two decades of sustained civic engagement including health advisory work for mountain-origin migrant communities, rehabilitation support, disaster relief coordination, and institutional science communication through editorial volunteerism.
Migrant Health Disaster Relief Rehabilitation Science Communication
About

Clinician. Educator.
Researcher. Writer.

Dr. Prasanna Ghimire is an Associate Professor of Radiology at Kathmandu University, based at Nepalgunj Medical College and Teaching Hospital (NGMC-TH). With over two decades of academic and clinical practice, he has built one of the most interdisciplinary profiles in Nepalese medicine — spanning advanced diagnostic imaging, environmental and occupational health, and rural development.

A government scholarship recipient, Dr. Ghimire completed fully-funded specialist training in Radiodiagnosis and Nuclear Medicine at Wuhan University, China (2008–2011). He undertook specialist musculoskeletal radiology training at Samsung Medical Center, Seoul in 2016, where he received an International Grant Award and Silver Medal at the 47th Korean Society of Ultrasound in Medicine Congress.

His research output spans 70+ peer-reviewed publications in international journals including PLOS ONE, World Journal of Gastroenterology, Radiology Case Reports, BMC Infectious Diseases, and Current Oncology. He serves as Editor of the Nepalese Journal of Radiology and reviewer for nine international journals. He is an active member of the Institutional Review Committee at NGMC and the undergraduate medical Subject Committee at Kathmandu University.

Beyond the hospital, Dr. Ghimire has devoted over 20 years to community health advisory roles with women's rehabilitation and rural development organizations. His blog Prasun's Words reflects wide-ranging intellectual curiosity — from soil pollution policy to rural economics.

Languages

English Nepali Hindi French Chinese

Medical Licensure

Permanent Registration, Nepal Medical Council (2004)
Specialty Registration – Radiodiagnosis & Nuclear Medicine, NMC (2011)

Current Roles

Associate Professor, Kathmandu University (at NGMC-TH) — 2019–present
Editor, Nepalese Journal of Radiology (2018–2025)
IRC Member, NGMC (2023–present)
Undergraduate Medical Subject Committee, Kathmandu University (2023–present)
Thesis Supervisor, 7+ postgraduate radiodiagnosis students

Service & Advisory

Advisor, Nepal Medical Association – Bheri Branch (2024–present)
Interviewer, Public Service Commission, Nepal
External Examiner, Radiodiagnosis – Kathmandu University
External Expert, Karnali Academy & Rapti Academy of Health Sciences

Work History
Jul 2019 – Present
Radiologist, Associate Professor
Nepalgunj Medical College and Teaching Hospital · Kathmandu University
Current Position
Nov 2014 – Jun 2019
Radiologist, Assistant Professor
Nepalgunj Medical College and Teaching Hospital · Kathmandu University
Nov 2012 – Nov 2014
Consultant Radiologist
Mid-western Regional Hospital, Surkhet · Government of Nepal
Nov 2011 – Nov 2012
Radiologist, Lecturer
Nepalgunj Medical College and Teaching Hospital · Kathmandu University
Jan 2005 – Aug 2007
Medical Officer & Clinical Tutor
National Medical College and Teaching Hospital, Birgunj · Tribhuvan University
Department of Medicine and Emergency — outpatient, emergency ward, ICU/CCU; undergraduate medical teaching during internal medicine rotations.
Professional Training
Sep 2008 – Jun 2011
Residency — Radiodiagnosis & Nuclear Medicine
Zhongnan Hospital, Wuhan University, China
Government Scholarship
May – Jun 2016
Medical Scientist Training — Musculoskeletal Radiology
Samsung Medical Center, Seoul, South Korea
International Grant Award · Silver Medal
Academic Leadership & Examination
Ongoing
Preceptor & Thesis Supervisor
7 postgraduate radiodiagnosis students, Kathmandu University
Ongoing
External Examiner
Radiodiagnosis, Kathmandu University
Ongoing
External Expert — Faculty Promotion
Karnali Academy of Health Sciences · Rapti Academy of Health Sciences
Ongoing
Interviewer
Public Service Commission (PSC), Nepal
Professional Development & Certifications
Jun 2026
NBEMS AI in Healthcare Certificate — 98% score
National Board of Examinations in Medical Sciences, India
AI in Healthcare
Apr 2026
AMA CME — AI in Health Care (4.0 AMA PRA Category 1 Credits)
American Medical Association — 7 modules: AI Introduction, AI in Diagnosis, Ethics & Legal, Precision Health
Sep 2024
Climate Change and Health Program
Yale School of Public Health, New Haven, USA
Jul 2024
Human Health and Climate Change
UNITAR / WHO
May 2024
Environmental Public Health Online Course (EPHOC) — 48 hrs
CDC / Tulane University / UAB, USA
May 2024
ICH Good Clinical Practice E6 (R2) — score 100%
The Global Health Network / Global Health Training Centre
Aug 2023
Good Clinical Practice (GCP) v5 — Valid Aug 2026
NIH / NIDA Clinical Trials Network, USA
GCP Certified
Research Output

Selected Publications

70+
Total Publications
2026
Most Recent
PLOS ONE
Flagship Journal
9
Journals Reviewed
2026 · PLOS ONE
Genetic, Clinical, and Biochemical Profiling of Gilbert Syndrome in a Nepali Cohort: High Prevalence of the UGT1A1 c.-3279T>G Polymorphism
2026
Doppler assessment of inferior thyroid artery and correlation with thyroid volume in euthyroid adults
Nepal J Med Sci · 11(1):20 · doi: 10.3126/njms.v11i1.91529
2026
Prevalence and severity of atherosclerotic changes in external carotid artery among chronic liver disease patients using color Doppler
Birat J Health Sci · 2026;11(1) · doi: 10.62065/bjhs757
2026
Detection of hemoglobinopathies by high-performance liquid chromatography in patients with microcytic hypochromic anemia in western Nepal
J Hematol Allied Sci · 2026 Apr 7 [Epub] · doi: 10.25259/JHAS_7_2026
2026
Histopathological subtypes of basal cell carcinoma and associated pathological features: a prospective study from Western Nepal
NJDVL · 2026;24(1):35–40 · doi: 10.3126/njdvl.v24i1.89756
2026
Age- and sex-related variations in platelet count among healthy Tharu in Banke, Nepal
Nepal J Med Sci · 2026;11(1):63–74 · doi: 10.3126/njms.v11i1.91528
2026
Screening ultrasonography for thyroid pathology among medical students in Western Nepal: a cross-sectional study
Pak J Radiol · 2026;36(2)
2026
First genetically confirmed X-linked hypohidrotic ectodermal dysplasia in Nepal: diagnostic odyssey and mismanaged hyperthermia
JNGMC · 2026;24(1):126–28
2026
MRI-based analysis of pituitary gland dimensions: age and sex related variation — a hospital-based study
JNGMC · 2026;24(1):120–25
2026
Role of computed tomography in the evaluation of traumatic head injury at Nepalgunj Medical College Teaching Hospital: a cross-sectional study
JNGMC · 2026;24(1):24–27
2026
Artificial intelligence in clinical radiology: technology readiness and ethical perspectives among future medical practitioners
JNGMC · 2026;24(1):12–16
2026
Atraumatic spontaneous splenic rupture complicating decompensated chronic liver disease with portal hypertension: a case report
Case Reports in Radiology · 2026 · doi: 10.1155/crra/3772906
2026
MRI evaluation and characterization of adnexal lesions using a modified, non-DCE O-RADS MRI scoring system: a prospective diagnostic accuracy study
Pak J Radiol · 2026;36(6):165–73
2025 · EOH
Occupational and environmental health determinants in Nepal: temporal trends and inequity mapping using DHS 2016 and 2022
NOU Multidisciplinary Journal · 2025;1(1):63–74
2025
Reproducibility and reliability of MRI and B-mode ultrasound in ocular axial length measurement
Journal of Karnali Academy of Health Sciences · 2025;8(3):32–35 · doi: 10.61814/jkahs.v8i3.1048
2025
Sonographic evaluation of pancreatic morphology in patients with diabetes mellitus
JNGMC · 2025;23(2):10–14 · doi: 10.3126/jngmc.v23i2.90538
2025
Challenges and changing trends in visceral leishmaniasis: a study at Bheri Hospital, Nepal
Nepalese Journal of Medical Sciences · 2025;10(2):82–89 · doi: 10.3126/njms.v10i2.80477
2025
Relationship between anterior cruciate ligament thickness and intercondylar distance in magnetic resonance imaging
JNGMC · 2025;23(2):21–25 · doi: 10.3126/jngmc.v23i2.90540
Recognition

Awards & Honours

🥈
Silver Medal – KSUM Open 2016
"My Unforgettable Ultrasound" — 47th Annual Congress of the Korean Society of Ultrasound in Medicine, Seoul, South Korea
May 2016
🌏
International Grant Award
Awarded at the 47th KSUM Annual Congress, Seoul, for outstanding research contribution in ultrasound medicine
May 2016
🎓
Government of Nepal Scholarship — Specialist Training
Nominated by Ministry of Education for fully-funded specialist training in Radiodiagnosis & Nuclear Medicine at Wuhan University, China
2008
🏥
Government of Nepal Scholarship — Medical Studies
Nominated by Ministry of Education for medical studies at Nepalgunj Medical College under the national scholarship scheme
1998
🤖
NBEMS AI in Healthcare Certificate — 98%
National Board of Examinations in Medical Sciences, India — comprehensive certification in AI applications across clinical medicine
June 2026
✅
GCP Certification (NIH/NIDA)
Good Clinical Practice, Version 5 — NIDA Clinical Trials Network (CTN), NIH/NIDA, USA. 6-hour course. Valid through Aug 2026.
2023
Professional Service

Professional Service & Editorial Experience

Editorial & Review Roles

  • ◆
    Editor — Nepalese Journal of Radiology 2018–2025
  • ◆
    Reviewer — Oxford Medical Case Reports
  • ◆
    Reviewer — Clinical Gastroenterology and Hepatology
  • ◆
    Reviewer — Radiology Case Reports
  • ◆
    Reviewer — Acta Radiologica Open
  • ◆
    Reviewer — BMJ Case Reports
  • ◆
    Reviewer — Journal of Nepalgunj Medical College; Birat Journal of Health Sciences; Egyptian Journal of Radiology and Nuclear Medicine; Journal of Nepal Health Research Council; IDCases

Institutional & Academic Roles

  • ◆
    Joint Secretary — Nepal Radiologists' Association 2023–2025
  • ◆
    Member, Institutional Review Board — Nepalgunj Medical College 2023–present
  • ◆
    Member, Postgraduate Subject Committee — Nepalgunj Medical College 2023–present
  • ◆
    Member, Undergraduate Medical Subject Committee — Kathmandu University 2023–present
  • ◆
    Advisor — Nepal Medical Association (NMA), Bheri Branch, Nepalgunj 2024–present
  • ◆
    Interviewer — Public Service Commission (PSC), Nepal
  • ◆
    External Examiner — Radiodiagnosis, Kathmandu University
  • ◆
    External Expert — Karnali Academy of Health Sciences; Rapti Academy of Health Sciences
  • ◆
    Thesis Supervisor — 7+ postgraduate radiodiagnosis students
Prasun's Words

Writing & Ideas

Visit blog ↗
Community Commitment

Volunteer & Advisory Work

Over two decades of sustained community health advisory engagement — working with women's rehabilitation organisations, rural development centres, and community health groups across Nepal.

🏛
WOREC Nepal
Women's Rehabilitation Centre — health advisory support for women's rights and rehabilitation programs across Nepal
Since 2005
📻
Swasthya Jeevan Narayani FM
Health expert for community radio health programming in Birgunj, reaching rural audiences with evidence-based health information
Since 2005
🏡
Kalanki Mahila Jyoti Samuha
Advisory support to women's community group in Kathmandu focused on health literacy and social welfare
Since 2005
🌾
Rural Development Centre, Bara
Health advisory to rural development initiatives in Bara district, integrating primary health care with agricultural community needs
Since 2005
🏔
Deurali Parivar, Kathmandu
Community health advisor supporting mountain-origin migrant communities in Kathmandu
Since 2005
✏️
Spandan Magazine, NGMC
Editor of institutional magazine at Nepalgunj Medical College — early career commitment to science communication
2002–2003
Professional Affiliations

Memberships

Life Member — Nepal Medical Association Life Member — Nepal Radiologist Association Life Member — Occupational Safety and Health Professionals, Nepal European Society of Radiology Radiological Society of North America Korean Society of Radiology Korean Society of Ultrasound in Medicine International Society of Intraoperative Radiation Therapy
The Person Behind the Work

Beyond Medicine

Lawn Tennis
On the court, precision and patience — the same qualities that define great radiology.
Music
A love for melody that brings balance to a life dedicated to science and healing.
Travelling
Explored 30+ countries across Asia, Europe, and beyond — every journey a new perspective on health, culture, and humanity.
Photography
An eye trained in imaging, now finding beauty in everyday moments — capturing the world through a lens.
Notes

Academic

My notes on topics in healthcare management, rural development, and environmental and occupational health. Open a topic to read it.

Healthcare Management

Public health, hospitals, finance, quality and research

Public Health Program Management

1. Foundations of Public Health

Public health is the science and art of preventing disease, prolonging life and promoting health through the organized efforts of society (Winslow, 1920). Its unit of concern is the population or community rather than the individual patient, and its tools are prevention, promotion and policy rather than only treatment. The modern understanding adds equity, intersectoral action and attention to social determinants.

Core functions and essential operations

  • Assessment: monitoring health status, diagnosing community health problems, surveillance and research.

  • Policy development: mobilizing partnerships, developing plans and policies, enforcing laws and regulations.

  • Assurance: ensuring a competent workforce, access to services, quality, and evaluation of effectiveness.

Determinants of health

The Lalonde Report (1974) divided the determinants of health into four fields: human biology, environment, lifestyle, and health care organization. The Dahlgren and Whitehead rainbow model places the individual and fixed factors (age, sex, genes) at the centre, surrounded by layers of lifestyle, social and community networks, living and working conditions, and finally general socio-economic, cultural and environmental conditions. The practical lesson is that most of what produces health lies outside the health sector.

Levels of prevention

Level Aim Examples
Primordial Prevent emergence of risk factors Tobacco-control law, food policy, urban planning for physical activity
Primary Prevent onset of disease Immunization, health education, sanitation, chlorination, contraception
Secondary Early detection and prompt treatment Screening (cervical VIA, BP), case finding, DOTS for new TB cases
Tertiary Limit disability and rehabilitate Physiotherapy after stroke, foot care in diabetes, vocational rehabilitation

Primary Health Care (PHC)

The Declaration of Alma-Ata (1978) defined PHC as essential health care made universally accessible to individuals and families through their full participation and at a cost the community and country can afford. Four guiding principles are equity (equitable distribution), community participation, intersectoral coordination, and appropriate technology. The eight elements are remembered as ELEMENTS: Education on prevailing health problems, Locally endemic disease control, Expanded immunization, Maternal and child health including family planning, Essential drugs, Nutrition and food supply, Treatment of common diseases and injuries, and Safe water and sanitation. The Ottawa Charter (1986) set the health promotion agenda: build healthy public policy, create supportive environments, strengthen community action, develop personal skills, and reorient health services. The Astana Declaration (2018) reaffirmed PHC as the foundation of universal health coverage and the Sustainable Development Goals (SDG 3).

2. The Program Management Cycle

A health program is an organized set of activities directed at specific objectives within a time frame and budget. Management follows a cycle: situation analysis, priority setting, objective setting, strategy selection, planning and budgeting, implementation (organizing, staffing, directing, coordinating), monitoring and supervision, evaluation, and then feedback into the next planning round. The cycle is continuous; weaknesses found in evaluation are the starting point for the next situation analysis.

Situation analysis

Situation analysis describes the health problem, the population, existing services and resources. Information comes from census, routine HMIS data, surveys (such as the Nepal Demographic and Health Survey), facility assessments and community consultation. Tools include the problem tree (causes and effects of a core problem), SWOT (internal strengths and weaknesses, external opportunities and threats), PESTEL (political, economic, social, technological, environmental, legal), and stakeholder analysis (interest versus influence grid).

Priority setting

Problems are ranked by magnitude (how many affected), severity (case fatality, disability), preventability or availability of effective interventions, community concern, and cost and feasibility. The Hanlon method gives a numerical score: Priority score = (A + B) x C x D, where A is size of the problem, B is seriousness, C is effectiveness of the intervention, and D is PEARL feasibility (Propriety, Economics, Acceptability, Resources, Legality). Other methods are the nominal group technique and the Delphi technique.

3. Objectives, Strategies and the Logical Framework

Goals are broad and long-term; objectives are specific, measurable statements. Good objectives are SMART: Specific, Measurable, Achievable, Relevant, Time-bound. Example: to raise facility delivery in the district from 62 percent to 80 percent within three years.

Logframe level Narrative summary Indicators Means of verification Assumptions
Goal / Impact Long-term change in health status Maternal mortality ratio Census, DHS, surveys Policy remains supportive
Purpose / Outcome Change from services used Skilled birth attendance coverage HMIS, household survey Community accepts services
Outputs Direct products of activities Birthing centres functional, staff trained Program reports Staff retained
Activities / Inputs Tasks and resources Training held, budget spent Financial and activity records Funds released on time

4. Planning, Implementation and Supervision

  • Work plan and Gantt chart: lists activities, responsible persons, timeline and resources; the Gantt chart shows activities against time.

  • Budgeting: line-item, program (activity-based) and performance budgets; costing must include recurrent and capital items.

  • Organizing and staffing: clear job descriptions, span of control, delegation, coordination mechanisms with local governments and partners.

  • Supportive supervision: a facilitative, problem-solving visit that uses a checklist, observes practice, gives on-the-spot coaching and feedback, as opposed to fault-finding inspection.

  • Logistics: forecasting, procurement, storage, distribution and a logistics management information system (LMIS); stock-outs undermine programs faster than almost any other failure.

  • Community participation: progresses from passive information-giving to consultation, joint decision-making and community ownership; Female Community Health Volunteers (FCHVs) are Nepal's flagship example.

5. Monitoring and Evaluation

Monitoring is the routine, continuous tracking of inputs, activities and outputs to see whether implementation follows the plan. Evaluation is the periodic, systematic assessment of relevance, effectiveness, efficiency, impact and sustainability. Indicators are expressed along the results chain: input, process, output, outcome, impact. Good indicators are valid, reliable, sensitive, specific and feasible (the same SMART logic).

Type of evaluation Question asked
Formative / needs Is the design appropriate and feasible before launch?
Process Are activities being carried out as planned, with what coverage and quality?
Outcome Did the target group change in knowledge, behaviour or service use?
Impact Did health status change and can it be attributed to the program?
Economic Was the program worth its cost (cost-effectiveness, cost-benefit)?

In Nepal, the electronic HMIS on DHIS2 collects monthly facility data and feeds review meetings at municipal, provincial and federal levels. Data quality dimensions are completeness, timeliness, accuracy and consistency. Periodic surveys (NDHS, Nepal Multiple Indicator Cluster Survey, Service Provision Assessment) complement routine data.

6. Major National Public Health Programs in Nepal

Program Key strategies and points to remember
Safe Motherhood and newborn health Aama programme (cash incentive for institutional delivery and four ANC visits), skilled birth attendants, birthing centres, basic and comprehensive emergency obstetric and newborn care, Safe Motherhood and Reproductive Health Rights Act 2075
Expanded Programme on Immunization Started 1979; routine schedule includes BCG, pentavalent, OPV/IPV, PCV, rotavirus, measles-rubella, JE, TCV; fully immunized child concept; cold chain; Reaching Every District approach
Child health Community-Based Integrated Management of Neonatal and Childhood Illness (CB-IMNCI), Vitamin A supplementation, deworming, ORS and zinc
Nutrition Multi-sector Nutrition Plan; growth monitoring, infant and young child feeding, micronutrient supplementation, community management of acute malnutrition
Family planning Short-acting, long-acting reversible methods and permanent methods; demand generation and outreach; unmet need is the key indicator
Communicable diseases National TB Program (DOTS, case finding, treatment success), malaria and vector-borne disease elimination strategy, HIV/AIDS (testing, ART, PMTCT), zoonoses and outbreak response
Non-communicable diseases Multisectoral action plan, package of essential NCD interventions (PEN), tobacco and alcohol control, mental health services integration
FCHV program Launched 1988; volunteers deliver community-level promotion, distribution and referral; recognized for the fall in child mortality
Health Economics

1. Basic Concepts

Economics studies how societies allocate scarce resources among competing uses. Scarcity forces choice, and every choice has an opportunity cost: the value of the next best alternative forgone. Health economics applies these ideas to health, health care and the factors that affect them. It asks three questions: what is produced (which services), how is it produced (efficiently), and for whom (equitably).

  • Microeconomics deals with individual markets, consumers and providers; macroeconomics with aggregates such as national health expenditure and growth.

  • Positive economics describes what is; normative economics says what ought to be.

  • Efficiency: technical efficiency (maximum output from given inputs), allocative efficiency (the right mix of outputs for society's preferences), and Pareto efficiency (no one can gain without another losing).

  • Equity: horizontal (equal treatment of equals) and vertical (unequal treatment of unequals according to need).

2. Why Health Care Is Not an Ordinary Market (Arrow, 1963)

Kenneth Arrow argued that health care departs from the competitive model because of uncertainty in demand, information asymmetry between provider and patient, externalities, barriers to entry through professional licensing, and the presence of trust and ethical codes. Consequences include market failure and the need for government regulation or insurance.

  • Information asymmetry leads to supplier-induced demand, where the provider influences the quantity consumed.

  • Externalities: vaccination and infection control benefit others (positive); pollution and tobacco smoke harm others (negative).

  • Public goods (health information, vector control) are non-rival and non-excludable and are under-supplied by markets.

  • Merit goods are goods society wants consumed regardless of ability to pay, such as immunization.

  • Moral hazard (insured people use more care or take less precaution) and adverse selection (high-risk people are more likely to buy insurance) distort insurance markets.

3. Demand for Health and Health Care

The law of demand says that, other things equal, quantity demanded falls as price rises. Demand for health care is derived from the demand for health. Grossman's model (1972) treats health as a durable capital stock that depreciates with age and is produced using medical care, time and education; people demand health both as a consumption good and as an investment. Determinants include price, income, education, age, need, insurance, travel distance and time cost, and quality.

Price elasticity of demand (PED) = percentage change in quantity demanded divided by percentage change in price. Demand is inelastic when |PED| is below 1, which is typical for necessary care. The RAND Health Insurance Experiment found that cost-sharing reduced use of both effective and ineffective services, with a PED of about -0.2. Income elasticity is positive for most health care, and above 1 for some luxury services. Cross elasticity describes substitutes and complements.

4. Supply, Production and Costs

Supply depends on input prices, technology, number of providers and regulation. A health production function links inputs (staff, equipment, drugs) to outputs (visits, deliveries) and ultimately outcomes. Costs are classified as follows.

Cost concept Meaning
Fixed cost Does not change with volume in the short run (building, salaried staff)
Variable cost Changes with volume (drugs, consumables)
Total cost Fixed + variable
Average cost Total cost divided by output
Marginal cost Additional cost of one more unit of output
Opportunity cost Value of the best alternative use of the resource
Sunk cost Already spent and unrecoverable; should be ignored in new decisions

Economies of scale arise when average cost falls as output expands, for example in large laboratories or in bulk procurement. Diseconomies appear when the organization becomes too large to manage.

5. Economic Evaluation

Economic evaluation compares costs and consequences of alternatives. A full evaluation compares at least two options and looks at both cost and effect. The four main techniques are summarized below.

Technique Costs measured in Outcomes measured in Result
Cost-minimization (CMA) Money Assumed identical Cheapest option
Cost-effectiveness (CEA) Money Natural units (cases averted, life-years gained) Cost per unit of effect
Cost-utility (CUA) Money QALYs or DALYs Cost per QALY gained or DALY averted
Cost-benefit (CBA) Money Money Net benefit, benefit-cost ratio

Key formulas

  • ICER = (C1 - C0) / (E1 - E0), the extra cost per extra unit of effect of the new option compared with the old.

  • QALY = years lived x quality weight (0 = death, 1 = full health).

  • DALY = YLL + YLD, where YLL = years of life lost to premature death and YLD = years lived with disability (prevalence x disability weight).

  • Present value = Future value / (1 + r)^t; discounting reflects time preference (costs and benefits are commonly discounted at 3 percent in many guidelines).

  • Net present value = sum of discounted benefits minus sum of discounted costs; benefit-cost ratio = PV benefits / PV costs (accept when above 1).

Sensitivity analysis (one-way, multi-way, probabilistic) tests how results change when uncertain assumptions are varied. Interventions below a cost-effectiveness threshold are considered good value; the older WHO-CHOICE rule of one to three times GDP per capita per DALY averted has been criticized, and many countries now use locally derived thresholds.

6. Health Financing, Equity and Macroeconomics

  • Sources of funds: general taxation, social health insurance, private insurance, out-of-pocket payment, external aid. Out-of-pocket spending is regressive and causes catastrophic expenditure and impoverishment.

  • National Health Accounts track total health expenditure by source, financing agent, provider and function. A common measure is total health expenditure as a percentage of GDP and per capita.

  • Inequality is measured by the Lorenz curve and Gini coefficient, and the concentration index for health variables.

  • The Preston curve shows that life expectancy rises with income per capita but with diminishing returns. The Commission on Macroeconomics and Health (2001) argued that investing in health promotes economic growth.

7. Health Economics in Nepal

Nepal funds health mainly through government budget, household out-of-pocket payments (over half of current health expenditure in recent National Health Accounts) and external development partners. Policy responses include free essential health services, the Aama programme, the Social Health Security Program, and the Poor Citizen Treatment Fund. Challenges are fragmented financing, limited fiscal space, and weak purchasing. Verify the latest percentages from the most recent National Health Accounts report before quoting them in an exam.

Health System and Policy

1. Health Systems: Concepts and Frameworks

A health system includes all organizations, people and actions whose primary intent is to promote, restore or maintain health (WHO, 2000). The three overall goals are improved health (level and equity), responsiveness, and fair financial contribution. WHO's framework describes six building blocks: service delivery, health workforce, health information systems, access to essential medicines and technologies, financing, and leadership and governance. Their outputs lead to access, coverage, quality and safety, and finally to the goals of improved health, responsiveness, financial risk protection and efficiency.

  • Functions per World Health Report 2000: stewardship, financing (collection, pooling, purchasing), resource generation, and service provision.

  • Hsiao's control knobs: financing, payment, organization, regulation and behaviour.

  • Universal Health Coverage (UHC) has three dimensions, often shown as a cube: population covered, services covered, and proportion of cost covered.

2. Models of Health Systems

Model Financing Features Examples
Beveridge (national health service) General taxation Government owns and runs providers, universal coverage United Kingdom, Sweden
Bismarck (social insurance) Employer and employee contributions to sickness funds Multiple non-profit funds, private providers Germany, Japan
National Health Insurance Single public insurer funded by taxes or premiums Private providers, public payer Canada, Korea, Taiwan
Out-of-pocket / market Direct payment by users Large private sector, little protection Many low-income settings

Roemer's matrix classifies systems by economic level and political ideology (entrepreneurial, welfare-oriented, comprehensive, socialist). Real systems are hybrids; Nepal combines public provision, a large private sector, donor funding, and a new social health insurance scheme.

3. Health System Reforms

Reforms aim to improve equity, efficiency and quality. Typical reform directions are decentralization (devolution, deconcentration, delegation, privatization), public-private partnership, contracting out, results-based or performance-based financing, essential service package definition, and strengthening of primary care. Decentralization is judged on accountability, local capacity and financing flows; transfer of functions without funds and skills creates new problems.

4. Health Policy: Definitions and Process

A policy is a statement of intent about goals and the means to achieve them, made by government or organizations. Health policy covers decisions that affect health institutions, services and financing. The policy cycle includes problem identification and agenda setting, policy formulation, adoption or legitimation, implementation, and evaluation, with feedback at each stage.

  • Kingdon's multiple streams: problems, policies and politics stream converge when a policy window opens, with a policy entrepreneur pushing the idea.

  • Walt and Gilson's policy triangle: content, process, context and actors; stresses that most policy analysis neglects actors.

  • Stakeholder analysis: identify stakeholders, interests, influence and positions, then plan engagement.

  • Implementation gap: policies fail through weak capacity, unclear roles, lack of budget and resistance; top-down and bottom-up approaches differ in how they treat front-line discretion.

  • Evidence-informed policy: research, routine data and local knowledge all feed decisions, but political feasibility often decides.

5. Policy and Legal Framework in Nepal

The Constitution of Nepal (2015) guarantees the right to basic health services free of cost as a fundamental right, the right to access to emergency health care, and equal access to health care. It created a federal structure with three tiers: federal, seven provinces, and 753 local governments, each with defined powers over health. Local governments run basic health services and public health, provinces manage hospitals and provincial programs, and the federal level handles policy, standards, specialized hospitals and international coordination.

Instrument Key point
National Health Policy 2019 Aligned with the constitution and SDGs; promotes universal access, quality, multisectoral action and health insurance
Nepal Health Sector Strategy 2015-2020 and the successor strategic plan 2023-2030 Strategic direction for service delivery, systems strengthening and equity across the health sector
Public Health Service Act 2018 Operationalizes rights to basic health and emergency services, regulates public health services
Safe Motherhood and Reproductive Health Rights Act 2018 Rights to safe motherhood, safe abortion and reproductive health
Social Health Security Act 2017 Legal basis for the national health insurance scheme and Health Insurance Board
Local Government Operation Act 2017 Roles of municipalities and rural municipalities in health
Health Service Act 1997 (2053) and Regulations Organization and service conditions of health workers

Structures: Ministry of Health and Population, Department of Health Services, divisions and centres, provincial health directorates, hospitals and local health facilities including health posts, primary health care centres and community health units. Challenges include coordination between three tiers, workforce distribution, medicine supply, quality and out-of-pocket spending.

Hospital Service Management

1. The Hospital: Definition, Functions and Classification

The WHO describes a hospital as an integral part of a social and medical organization whose function is to provide complete health care, curative and preventive, to the population, and which also serves as a centre for training of health workers and for biosocial research. Functions are patient care (outpatient, inpatient, emergency, diagnostic), prevention and promotion, education and training, and research.

  • By ownership: government, private, community, trust, teaching.

  • By size (beds): small (under 50 or 100), medium, large, tertiary and referral.

  • By level: primary (district), secondary, tertiary and specialized hospitals.

  • By service: general, specialty (eye, maternity, psychiatric, cancer), and teaching hospitals.

2. Hospital Planning and Bed Requirement

Planning starts with a needs assessment of the catchment population, disease burden, existing services, and resources. The site should be accessible, with adequate water, power, drainage and room for expansion. Design considers functional relationships: emergency near radiology and operating theatre, wards close to supporting services, infection control zoning, separation of clean and dirty traffic, and universal accessibility.

A common estimate of beds needed: Beds = (Annual admissions x Average length of stay) / (365 x Desired bed occupancy rate). Example: 6,000 admissions, ALOS 4 days, target occupancy 80 percent gives 24,000 / 292 = about 82 beds.

3. Organization and Management

A hospital is a professional bureaucracy with dual lines of authority: administrative and clinical. The governing board or development committee sets policy, the medical director or chief executive manages operations, and department heads supervise clinical and support services. Typical divisions are medical, nursing, administration and finance, and support services. Effective management uses clear job descriptions, standard operating procedures, committees (infection control, drugs and therapeutics, quality, medical records, mortality review) and regular performance review.

4. Clinical and Support Services

Service Key management points
Outpatient department (OPD) Registration, triage, appointment systems, waiting time, patient flow, privacy; first point of contact
Emergency Triage, resuscitation capacity, 24-hour staffing, links to ICU and OT, disaster readiness
Inpatient wards Nurse staffing ratios, bed allocation, discharge planning, patient safety and infection control
Operating theatre Scheduling, sterility zones, WHO surgical safety checklist, turnover time
Intensive care High nurse ratio, protocols, ventilator and monitor maintenance, infection surveillance
Laboratory and radiology Quality control, turnaround time, safety, equipment calibration
Pharmacy Essential medicine list, formulary, storage, dispensing, rational drug use
CSSD Cleaning, packing, sterilization and traceability of instruments
Medical records Unique patient identification, confidentiality, coding with ICD, retention rules
Dietary, laundry, housekeeping, mortuary Hygiene standards, therapeutic diets, linen cycle, dignity and legal documentation

5. Hospital Indicators and Statistics

Indicator Formula
Bed occupancy rate (BOR) Inpatient days in period / (Available beds x days in period) x 100
Average length of stay (ALOS) Total inpatient days / Total discharges (including deaths)
Bed turnover rate (BTR) Discharges / Average available beds
Turnover interval (TOI) (Available bed days - Inpatient days) / Discharges
Hospital death rate Deaths in hospital / Discharges x 100
Net death rate Deaths after 48 hours / Discharges x 100
Hospital infection rate New hospital-acquired infections / Discharges x 100
Cesarean section rate Cesarean deliveries / Total deliveries x 100

An efficient hospital typically runs a BOR of about 80 to 85 percent; very high occupancy suggests overcrowding and risk, and very low occupancy signals under-use. BOR, ALOS and BTR are linked: BOR = (BTR x ALOS) / days in period.

6. Materials, Equipment and Waste Management

  • Inventory control: ABC analysis (by value), VED analysis (vital, essential, desirable), EOQ (economic order quantity), reorder level and buffer stock; first-expiry-first-out for drugs.

  • Equipment management: needs assessment, procurement, installation, user training, preventive maintenance, calibration, condemnation and replacement.

  • Health care waste: segregate at source using colour codes (for example yellow for infectious, red for contaminated plastics, blue for sharps and glass according to local guidelines), safe collection, autoclave or incineration, sharps pit, and safe final disposal.

  • Infection prevention: hand hygiene (WHO five moments), standard and transmission-based precautions, personal protective equipment, sterilization, surveillance of hospital-acquired infections such as catheter-associated UTI, surgical site infection and ventilator-associated pneumonia.

7. Patient Safety, Information and Disaster Preparedness

Patient safety programs use incident reporting, root-cause analysis, checklists, medication safety practices (right patient, drug, dose, route, time) and falls and pressure-ulcer prevention. A hospital information system integrates registration, billing, clinical records, laboratory, pharmacy and stores. A hospital disaster plan defines command structure, triage areas, surge capacity, communication, evacuation, and regular drills; the plan must address both internal disasters (fire, power failure) and external mass-casualty incidents.

Health Financing and Insurance

1. Health Financing: Functions and Sources

Health financing is the system by which money is raised, pooled and used to buy services. Its three core functions are revenue collection, pooling of funds, and purchasing of services. The objectives are financial protection, equity, efficiency, and sustainability on the path to universal health coverage.

  • Revenue sources: general taxes (direct and indirect), earmarked or sin taxes (tobacco, alcohol, sugar), payroll contributions to social insurance, voluntary private insurance premiums, user fees and out-of-pocket payment, external grants and loans, and innovative sources such as solidarity levies.

  • Pooling: combining prepaid funds across large populations so that the healthy subsidize the sick and the rich subsidize the poor. Fragmented small pools raise costs and reduce redistribution.

  • Purchasing: strategic purchasing links payment to need, performance and quality, in contrast to passive purchasing by historical budgets.

2. Financial Protection and Equity

Out-of-pocket payment at the point of use is the least equitable way to finance health. Expenditure is called catastrophic when it exceeds a threshold of household income or capacity to pay (commonly 10 percent of total consumption or 40 percent of non-food spending). Impoverishment occurs when payment pushes a household below the poverty line. Financial protection is a core SDG 3.8 indicator. Targeting subsidies to the poor, exempting basic services, and pre-payment all increase protection.

3. Concepts of Insurance

Insurance transfers financial risk from an individual to a pool in return for a premium. Insurable risks are random, measurable and large enough to matter. The law of large numbers lets insurers predict claims and set premiums; actuarial calculation uses expected claims plus administrative cost and margin.

Term Meaning
Premium Regular amount paid for coverage
Deductible Amount the insured pays before insurance begins to pay
Co-payment Fixed amount paid per service
Co-insurance Percentage of cost shared by the insured
Ceiling or cap Maximum benefit payable in a period
Gatekeeping Referral from primary care required before specialist care
Risk pooling Sharing of risk among many members
Adverse selection Higher-risk people join more readily; leads to premium spiral
Moral hazard Insured behave in ways that increase claims
Cream skimming Insurers prefer low-risk members

4. Types of Health Insurance

  • Social (national) health insurance: compulsory, income-related contributions, benefits by need, government regulated; may be extended to the informal sector with subsidies.

  • Private voluntary insurance: risk-rated premiums, choice of plan, covers those who can pay; tends to leave out high-risk and poor people.

  • Community-based health insurance (CBHI): voluntary schemes run by communities or cooperatives; small risk pools, vulnerable to adverse selection and low sustainability.

  • Tax-funded universal systems: services free or nearly free at the point of use.

5. Provider Payment Methods

Method How it works Advantages Disadvantages
Fee for service Payment per item Productivity, access Over-servicing, cost escalation
Capitation Fixed amount per enrolled person Cost control, prevention incentive Under-provision, risk selection
Salary Fixed pay per period Predictable, simple Low productivity incentive
Case-based / DRG Fixed price per case group Efficiency, transparency Early discharge, upcoding
Per diem Payment per bed-day Simple Encourages longer stays
Global budget Lump sum for period Strong cost control Rationing, waiting lists
Pay for performance Bonus for meeting targets Quality focus Gaming, measurement cost

6. Health Financing and Insurance in Nepal

Nepal's Social Health Security Act (2017) established the Health Insurance Board and a national insurance program. Enrolment is by household, with a premium for a family of five and an additional amount per extra member, subsidies for poor and vulnerable groups, and a benefit ceiling per family per year (check the current premium and ceiling in the latest Board notice, since these have been revised). Care is accessed through the family's designated first service point, with referral to higher-level hospitals. Other financing mechanisms include the Aama programme (free delivery care and transport incentive), free basic health services, the Poor Citizen Treatment Fund for specified diseases, and fiscal grants to provinces and local governments.

Challenges: low enrolment and renewal, claim and reimbursement delays, adverse selection, limited provider capacity, weak purchasing capability, fragmentation of schemes, and continued reliance on out-of-pocket payment. Strategies: expand coverage with subsidies, improve information systems, introduce case-based payment, strengthen fraud control, and integrate vertical programs.

Human Resource Development and Organization Development

1. HRM and HRD

Human resource management (HRM) covers the whole set of activities for acquiring, maintaining and using people: planning, recruitment, selection, compensation, appraisal and employee relations. Human resource development (HRD) is the planned process of improving knowledge, skills, attitudes and performance of people and organizations through training, education, career development and organizational change. In health, the workforce is the main input, and the WHO suggested a threshold of 4.45 doctors, nurses and midwives per 1,000 population for progress toward the SDGs.

2. Human Resource Planning

HR planning matches the supply of staff with the demand. Steps: analyse organizational goals, forecast demand (workload indicators of staffing need, service targets, ratios), analyse the current inventory and expected supply (attrition, retirement), identify gaps, and design recruitment, training or redeployment strategies. The WHO workforce-life-cycle approach considers entry, retention and exit of workers.

3. Recruitment, Selection and Induction

  • Job analysis: produces job description (duties) and job specification (qualifications).

  • Recruitment: sources internal and external; process of attracting suitable candidates.

  • Selection: screening, written tests, interviews (structured preferred), reference checks; validity and reliability are the key quality criteria.

  • Induction/orientation: familiarizes new staff with the organization, rules and culture, which improves retention.

4. Training and Development

Training needs assessment looks at organizational, task and individual levels, and identifies the gap between required and actual performance. Methods include on-the-job (coaching, mentoring, job rotation, supervised practice) and off-the-job (workshops, simulation, e-learning). Kirkpatrick's four levels evaluate training: reaction, learning, behaviour, results. Continuing professional development, licensing renewal with councils such as the Nepal Medical Council and Nepal Nursing Council, and structured career paths improve retention.

5. Performance Management

Performance appraisal assesses employee performance against standards to guide pay, promotion and development. Methods: graphic rating scales, behaviourally anchored rating scales (BARS), management by objectives (MBO), 360-degree feedback, and key performance indicators. Common errors include halo effect, leniency, central tendency and recency bias. Appraisal should be followed by feedback and a development plan.

6. Motivation and Leadership

Theory Core idea
Maslow's hierarchy Needs ascend: physiological, safety, belonging, esteem, self-actualization
Herzberg two-factor Hygiene factors prevent dissatisfaction (salary, conditions); motivators create satisfaction (achievement, recognition, growth)
McGregor Theory X and Y Managers assume workers avoid work (X) or seek responsibility (Y)
Vroom expectancy Motivation = expectancy x instrumentality x valence
Adams equity People compare their input-output ratio with others
McClelland Needs for achievement, affiliation and power

Leadership theories progress from traits to behaviour (Ohio State, Blake and Mouton managerial grid), contingency (Fiedler, Hersey and Blanchard situational leadership), and transformational leadership. In health care, leaders also need clinical credibility, team-building skills and ethical judgement.

7. Organization Development (OD)

OD is a planned, system-wide, long-range effort, supported by top management, to improve an organization's effectiveness and health through planned interventions using behavioural science knowledge. It uses action research: diagnosis, data feedback, planning, intervention and evaluation, repeated cyclically.

  • Lewin's change model: unfreeze (create readiness), change (move), refreeze (stabilize).

  • Kotter's eight steps: create urgency, build a guiding coalition, form a vision, communicate, empower action, create short-term wins, consolidate gains, anchor changes in culture.

  • Resistance to change: causes include fear of loss, habit, poor communication and lack of trust; overcome through participation, communication, support and incentives.

  • OD interventions: team building, survey feedback, process consultation, role analysis, conflict resolution, sensitivity training, job redesign and strategic planning.

  • Organizational culture is the shared values, norms and assumptions; leaders shape it, and it determines how change is accepted.

  • Conflict management: avoiding, accommodating, competing, compromising, collaborating (Thomas-Kilmann styles).

8. Human Resources for Health in Nepal

Health workers are governed by the Health Service Act and Regulations, and federalism has moved many recruitment and management decisions to provinces and local governments. Issues include uneven distribution (shortage in remote areas), migration, vacancies, limited career paths and weak motivation. Strategies: rural retention incentives, scholarship with bonded service, skill-mix and task shifting, performance management, and a human resources for health strategic plan.

Information Technology in Healthcare System

1. Information, Data and Health Information Systems

Data are raw facts, information is processed data that has meaning, and knowledge is information applied in context to support decisions. A health information system (HIS) collects, stores, processes and reports data needed for managing health services and policy. WHO's HIS building block asks for timely, reliable data on determinants, health status and system performance. A health management information system (HMIS) is the routine reporting component from facilities.

  • Components: data sources, collection tools, processing, storage, analysis, presentation and use.

  • Data sources: routine facility data, civil registration and vital statistics, census, surveys, surveillance, administrative and financial records.

  • Data quality: accuracy, completeness, timeliness, consistency, validity, confidentiality.

  • Information cycle: collection, compilation, analysis, interpretation, feedback, use for decision.

2. Electronic Health Records

Term Meaning
EMR (electronic medical record) Digital version of a patient's chart within one organization
EHR (electronic health record) Longitudinal record shared across providers and settings
PHR (personal health record) Record managed by the patient
CPOE Computerized provider order entry for drugs and tests
CDSS Clinical decision support system giving alerts and guidance

Benefits include legibility, availability, fewer medication errors, data for audit and research, and better continuity. Problems include cost, training, workflow disruption, poor interoperability, security risk and alert fatigue.

3. Standards and Interoperability

  • ICD-10 / ICD-11: classification of diseases and causes of death for statistics.

  • SNOMED CT: clinical terminology; LOINC: laboratory and observation codes; ATC: drug classification.

  • HL7 and FHIR: standards for exchanging clinical and administrative data; DICOM: medical images; PACS stores and distributes images.

  • Interoperability levels: foundational, structural, semantic and organizational.

4. eHealth, mHealth and Telemedicine

eHealth is the use of information and communication technologies for health. mHealth is delivery of health services via mobile devices, including SMS reminders, apps and community worker tools. Telemedicine provides clinical services at a distance and takes forms such as store-and-forward, real-time video consultation, and remote monitoring. Telemedicine reduces travel and extends specialist access to remote areas but needs connectivity, legal clarity, standards for consent and records, and reimbursement. Other applications are tele-radiology, tele-pathology, and AI-assisted image interpretation.

5. Developing and Managing Information Systems

The system development life cycle runs through feasibility study, requirement analysis, design, development, testing, implementation and maintenance. Agile methods deliver in iterative cycles with continuous user feedback. Key success factors are user involvement, leadership support, training, data governance, sustainable funding and local ownership. Data warehouses, dashboards and business intelligence tools help turn data into decisions; geographic information systems map disease and services.

6. Security, Privacy and Ethics

Information security rests on confidentiality, integrity and availability (the CIA triad). Controls include role-based access, authentication, encryption, audit logs, backups and staff training. Ethical principles are informed consent, minimum necessary use, anonymization for research and clear ownership of data. HIPAA and GDPR are international references; Nepal's Individual Privacy Act (2018) and related laws provide the national framework, and facilities should have a policy on data sharing and breach response.

7. Digital Health in Nepal

Nepal uses DHIS2 for the electronic HMIS and for surveillance reporting, an electronic logistics system, and an increasing number of hospital information systems and telemedicine services; the national eHealth strategy and Digital Nepal Framework guide development. Challenges include fragmented systems, limited internet in remote areas, limited human capacity, data quality and lack of unified patient identifiers. Strategies: interoperability standards, a national architecture, capacity building, and use of data in review meetings.

Quality Management

1. Concepts of Quality in Health Care

Quality in health care is the degree to which services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge (Institute of Medicine). The IOM's six aims, often called STEEEP, say that care should be safe, timely, effective, efficient, equitable and patient-centred. Other dimensions include accessibility, acceptability, appropriateness, continuity and competence.

Donabedian model

Avedis Donabedian proposed assessing quality through structure (facilities, staff, equipment, organization), process (what is done in giving and receiving care), and outcome (changes in health status, satisfaction). Good structure raises the chance of good process, which in turn improves outcomes.

2. Quality Assurance, Control and Improvement

  • Quality control: inspection to detect defects against a standard.

  • Quality assurance: planned and systematic activities to provide confidence that requirements will be met, including standards, audit and accreditation.

  • Quality improvement: continuous, problem-solving effort to raise performance using data and teams.

  • Total quality management (TQM): an organization-wide philosophy based on customer focus, leadership, employee involvement, process approach, evidence-based decisions and continuous improvement.

3. Quality Gurus

Guru Key contribution
W. Edwards Deming 14 points; PDCA (Plan-Do-Check-Act) cycle; system causes account for most variation
Joseph Juran Quality trilogy: planning, control, improvement; fitness for use; Pareto principle
Philip Crosby Zero defects; quality is conformance to requirements; cost of poor quality
Kaoru Ishikawa Cause-and-effect (fishbone) diagram; quality circles
Armand Feigenbaum Total quality control
Donabedian Structure-process-outcome in health care

4. Tools and Methods of Improvement

  • Seven basic tools: check sheet, histogram, Pareto chart, cause-and-effect diagram, scatter diagram, run/control chart, flowchart.

  • PDCA / PDSA: Plan a change, Do it on a small scale, Check results, Act to adopt, adapt or abandon.

  • Six Sigma (DMAIC): Define, Measure, Analyse, Improve, Control; aims at 3.4 defects per million opportunities.

  • Lean: removes waste (waiting, over-processing, motion, defects, inventory, transport, overproduction) and improves flow.

  • Root cause analysis and FMEA: retrospective analysis of adverse events and prospective analysis of failure modes, effects and risk priority.

  • Benchmarking and clinical audit: compare performance with best practice and with standards, then re-audit after change.

5. Standards, Indicators and Accreditation

Standards state the expected level of structure, process or outcome. Indicators measure compliance, for example surgical site infection rate, hand-hygiene compliance, door-to-needle time, readmission rate, medication error rate, waiting time and patient satisfaction. Accreditation is external, voluntary or mandatory recognition that an organization meets published standards; well-known systems are the Joint Commission International, NABH in India, and ISO 9001 certification for management systems. In Nepal, minimum service standards and facility licensing guide hospital quality, and the Ministry sets quality assurance directives for public and private institutions.

6. Patient Safety and Satisfaction

Patient safety aims to prevent harm. Key concepts are adverse event, near miss, sentinel event, error (active and latent failures; Reason's Swiss cheese model), and just culture. WHO's patient safety solutions include the surgical safety checklist, safe medication practices, hand hygiene, patient identification, and safe injection. Patient satisfaction is measured by exit interviews, suggestion boxes, complaint analysis and structured surveys; it reflects expectations as well as care.

7. Quality Systems in the Hospital

A hospital quality system includes a quality committee, policy and manual, clinical guidelines and protocols, an incident reporting system, regular audits, infection control, credentialing and privileging of clinicians, staff training, and management review. Leadership commitment, a blame-free reporting culture and data feedback to front-line teams are the strongest predictors of success.

Health Project Management

1. Concepts of Projects

A project is a temporary endeavour with a defined beginning and end, undertaken to create a unique product, service or result within constraints of time, cost, scope and quality. Characteristics: specific objective, unique outcome, limited duration, defined budget, interdependent tasks, a project team, and risk and uncertainty. A program is a group of related projects managed together; operations are ongoing and repetitive.

Constraints form the project triangle: scope, time and cost, with quality at the centre. A change in one affects the others.

2. Project Life Cycle

Phase Main activities
Initiation / identification Problem analysis, concept note, feasibility, stakeholder identification, go or no-go decision
Planning Objectives, scope, work breakdown structure, schedule, budget, risk and communication plans, logframe
Execution Mobilizing team and resources, procurement, implementation, coordination
Monitoring and control Progress tracking, variance analysis, corrective action, change control
Closure Handover, final evaluation, audit, lessons learned, release of resources

3. Project Identification, Appraisal and Selection

Projects arise from needs assessment, policy priorities, donor calls or community demand. Appraisal checks feasibility from several angles.

  • Technical: appropriateness of technology, location, capacity and inputs.

  • Financial: returns and cash flow; economic: social costs and benefits; social: acceptability, equity, gender and inclusion.

  • Environmental and legal: impact, permits and compliance.

  • Managerial and institutional: capacity of implementing organization and sustainability.

Financial appraisal tools: Payback period (time to recover the investment), Net present value (accept when above zero), Internal rate of return (discount rate making NPV zero; accept if above the cost of capital), and Benefit-cost ratio (accept if above 1). Discounted methods are preferred to payback because they recognize time value of money.

4. Planning Tools

  • Logical framework approach: problem tree, objective tree, and the 4x4 logframe matrix with indicators, means of verification and assumptions.

  • Work breakdown structure (WBS): hierarchical decomposition of scope into manageable work packages.

  • Gantt chart: bar chart of activities against time.

  • Network analysis: Critical Path Method (CPM) uses deterministic durations; PERT uses three estimates. Expected time te = (o + 4m + p) / 6, where o is optimistic, m is most likely and p is pessimistic; standard deviation = (p - o) / 6; variance = square of that. The critical path is the longest path and determines project duration; slack or float is the delay an activity can have without delaying the project.

  • Resource levelling and crashing: adding resources to shorten critical activities at extra cost.

Forward pass gives earliest start (ES) and finish (EF = ES + duration); backward pass gives latest finish (LF) and start (LS = LF - duration); Slack = LS - ES. Activities with zero slack are critical.

5. Budgeting, Procurement and Risk

  • Budget: activity-based costing of human resources, equipment, travel, training, and overhead; includes contingency and a cash-flow schedule.

  • Procurement: needs, specifications, tender or quotation, evaluation, contract award, delivery and payment. In Nepal, the Public Procurement Act (2007) and Regulations (2007) govern public purchasing, with provisions for transparency and competition.

  • Risk management: identify, assess (probability and impact), respond (avoid, reduce, transfer, accept) and monitor risks through a risk register.

  • Communication and stakeholder management: regular reports, meetings, escalation lines and feedback.

6. Monitoring, Evaluation and Closure

Monitoring uses progress reports, site visits, financial statements and indicator tracking, and compares plan with actual. Earned value analysis integrates scope, time and cost: Schedule variance = EV - PV; Cost variance = EV - AC; SPI = EV / PV; CPI = EV / AC. Values below 1 indicate delay or overspending. Evaluation at midterm and end looks at relevance, effectiveness, efficiency, impact and sustainability. Closure includes handover to the community or government, final accounts, audit and documentation of lessons.

7. Project Leadership and Proposal Writing

A project manager needs planning, negotiation, team-building and conflict-resolution skills. Teams pass through forming, storming, norming and performing (Tuckman). A project proposal normally includes title, background and rationale, problem statement, goal and objectives, activities, methodology, expected results, work plan, monitoring and evaluation, budget, risk and sustainability, and annexes.

Appendix: Formula and Quick-Recall Sheet
Subject Formula or key fact
HEM 512 ICER = (C1 - C0) / (E1 - E0); DALY = YLL + YLD; PV = FV / (1 + r)^t; PED = %change in Q / %change in P
HOM 511 BOR = inpatient days / (beds x days) x 100; ALOS = inpatient days / discharges; BTR = discharges / beds; TOI = (bed days - inpatient days) / discharges; Beds = (admissions x ALOS) / (365 x target BOR)
HEM 592 PERT te = (o + 4m + p) / 6; SD = (p - o) / 6; Slack = LS - ES; SPI = EV / PV; CPI = EV / AC; accept when NPV > 0, BCR > 1, IRR > cost of capital
HEM 511 Hanlon score = (A + B) x C x D; SMART objectives; logframe 4 x 4; levels of prevention (primordial, primary, secondary, tertiary)
HOM 551 PDCA; DMAIC; Donabedian structure-process-outcome; STEEEP aims; Six Sigma 3.4 defects per million
MGT 561 Lewin: unfreeze-change-refreeze; Kotter 8 steps; Kirkpatrick 4 levels; Vroom: V = E x I x Valence
HEM 541 CIA triad: confidentiality, integrity, availability; EMR within one organization, EHR across providers; HL7/FHIR, DICOM, ICD, SNOMED CT
MGT 611 Financing functions: collection, pooling, purchasing; catastrophic expenditure threshold 10 percent of consumption or 40 percent of non-food spending
HEM 543 WHO six building blocks; UHC cube; Kingdon multiple streams; Walt and Gilson policy triangle; Nepal's three tiers of government

Accuracy note: Nepal-specific figures (insurance premiums and ceilings, health expenditure shares, programme coverage, strategy dates) change over time. Check them against your lecture slides, the current Acts and the latest ministry reports before writing them in an exam.

Research Methodology in Health Care

Introduction of Research Methods

Evolving Research Design

Randomized Controlled Trials

Research Questions and Literature Review

Sampling Design

Data Collection and Management

Ethical Aspects of Health Research

Writing Research Proposal and Report

Reading materials

  • Bowling, A. (2002). Research methods in health: investigating health and health services (2nd ed.). Open University Press.
  • Creswell, J. (2009). Research design: qualitative, quantitative and mixed-methods approaches. Sage.
  • Kothari, C. R. (1985). Research methodology: methods and techniques. Wiley Eastern Limited.
  • Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195.
  • Indrayan, A. (2013). Basic methods of medical research. Aitbs Publishers.
  • Kumar, R. (1995). Research methodology: a step-by-step guide for beginners. Sage.
  • Punch, K. F. (2005). Introduction to social research: quantitative and qualitative approaches (2nd ed.). Sage.
  • Zohrabi, M. (2013). Mixed method research: instruments, validity, reliability and reporting findings. Theory and Practice in Language Studies, 3(2), 254.

Introduction of Research Methods

Contents

  1. Concept and types of research
  2. Research methods versus methodology
  3. Research approaches: qualitative, quantitative and mixed methods
  4. Research paradigms
  5. Research process and criteria of good research

1.1 Concept and types of research

Meaning

The term derives from the French rechercher, “to search again”: repeated, systematic searching to approach the truth. Research may be defined as a systematic, organised and ethical process of inquiry to discover, validate or revise facts, theories or applications.

AuthorDefinition (paraphrased)
Kerlinger (1970)Systematic, controlled, empirical and critical investigation of hypothetical propositions about presumed relations among phenomena
Leedy (1989)A procedure for finding, with demonstrable facts, the answer to a question or the resolution of a problem
Redman and MoryA systematised effort to gain new knowledge
SekaranOrganised, systematic, data-based, critical, scientific enquiry into a specific problem
BestSystematic, objective analysis and recording of observations that may lead to theory
Kothari (1985)A search for knowledge through objective and systematic methods of finding solutions to a problem

Characteristics. Good research is systematic, logical, empirical, replicable, free from personal bias, valid and reliable, problem-directed, theoretically grounded and ethical. Aims include generating knowledge, solving a problem in the work setting, building a base for theory, filling a gap in knowledge and testing a causal hypothesis. In health care management it supplies evidence for managerial decisions, policy design and evaluation, clinical governance, quality assurance and resource allocation.

Research and related activities. Routine clinical audit checks whether existing standards are met within one institution, and administrative data collection tracks utilisation without an a priori hypothesis; neither has the knowledge-generating intent of research, which requires a formulated question, a planned design, systematic data collection and analysis, and reporting that contributes verified knowledge.

Steps of the scientific method: sensing the problem, problem identification, theoretical framework, hypothesis, design, data collection, analysis, interpretation and generalisation.

Types of research

BasisTypes
PurposeBasic, applied, evaluation, research and development, action
MethodHistorical, descriptive, causal, experimental
ApproachQuantitative, qualitative, mixed methods
FeatureBasic (pure)Applied
ObjectiveDevelop theory; expand knowledgeSolve an immediate problem
FocusThe researcher’s interestA problem faced by society or an organisation
Time limitGenerally noneFixed
GeneralisationResults generalise to similar settingsLargely context-bound
Practical useNot immediateImmediate

Illustration: how a bacterium acquires drug resistance (basic) versus reducing infection rates in one hospital (applied).

  • Descriptive: describes the present situation; cross-sectional (one time point) or longitudinal (repeated observation).
  • Exploratory: flexible research on a poorly understood problem, generating hypotheses.
  • Explanatory/analytical: explains why and how and tests relationships.
  • Evaluation: assesses whether a programme meets its goals; formative (process, during the programme) or summative (outcome and impact).
  • Action research: practitioners solve a practical problem where it occurs, in cycles of planning, acting, observing and reflecting.
  • Research and development: creation and refinement of products, tools or systems.
  • Primary and secondary: collection of original data versus analysis of existing data.

1.2 Research methods versus methodology

Research methodsResearch methodology
Concerned withThe howThe why
MeaningTools and techniques for collecting and analysing dataThe overall strategy with its philosophical and logical rationale
ScopeNarrow, practicalBroad, theoretical
ExamplesInterview, survey, questionnaire, sampling, t-testPositivist quantitative methodology; interpretivist qualitative methodology

Kothari (1985) describes methodology as a way of systematically solving the research problem. It explains why the study was undertaken, how the problem and hypothesis were formulated, why a technique was chosen and why others were not. Methodology therefore sits above design, which sits above methods: paradigm (worldview) > methodology or approach (strategy) > design (plan) > methods and tools (techniques). A focus group discussion, for example, is a method, not a design.

1.3 Research approaches

QuantitativeQualitativeMixed methods
ParadigmPositivist / post-positivistInterpretivist / constructivistPragmatist
DataNumbers; closed-ended instrumentsWords, images, observationsBoth
LogicDeductive (tests theory)Inductive (builds theory)Both
Main methodsSurvey, correlational, experimentalEthnography, focus groups, in-depth interviews, case studySequential or concurrent combination
AimMeasure, test, generaliseDepth, meaning, explanationThe what plus the why
SampleRepresentative, usually probabilityPurposive, small, to saturationBoth

The choice of approach follows the research question, the nature of the phenomenon, available resources and the researcher’s paradigm. Designs for mixed methods are treated in Unit 2. In Nepal, research on health, fertility and health-seeking behaviour moved from a mainly quantitative focus in the 1980s–90s to mixed methods in 2000–10, because numbers alone could not explain behaviour.

1.4 Research paradigms

A paradigm is a framework of commonly accepted views indicating what direction research should take and how. The term entered the philosophy of science through Kuhn (The Structure of Scientific Revolutions, 1962). It is usually described along three dimensions (Guba and Lincoln): ontology (what is reality?), epistemology (what is knowledge and how is it gained?) and methodology (how do we find out?); axiology, the role of values, is often added.

Positivism / post-positivismInterpretivism / constructivismCritical (transformative)Pragmatism
OntologyOne objective reality (post-positivism: imperfectly known)Multiple, socially constructed realitiesRealities shaped by history and powerWhatever works for the question
EpistemologyObjective; researcher independentSubjective; co-constructed meaningValue-laden; aims at changePractical, problem-centred
Usual approachQuantitativeQualitativeQualitative or mixedMixed methods
Positivism (quantitative)Interpretivism (qualitative)
RealitySingle, measurableMultiple
DesignFixed beforehand; hypothesis firstFlexible; emerges with the data
ResearcherObjective observerImmersed participant
TheoryTests theoryGenerates theory
Quality criteriaValidity, reliability, objectivityTrustworthiness: credibility, transferability, dependability, confirmability

1.5 Research process and criteria of good research

The research process is iterative rather than linear: formulate the problem; review the literature; state aims, objectives and hypotheses; choose the design; decide the sample design and tools; collect data; process and analyse data and test hypotheses; interpret, generalise and report. The literature and the findings continually refine the question.

Criteria of good research: clear objectives; relevance; a systematic procedure; a sound theoretical base; valid and reliable data; logical consistency; ethical compliance; transparency; feasibility; and actionable outcomes. In summary, good research is scientifically sound, socially relevant and ethically strong.

Ethical responsibilities of the researcher are owed to the self (honest conduct), to respondents (explaining purpose and use of data), to participating organisations (informing them of purpose, data use and publication) and to the employer or institution (following accepted conventions). Common violations include pressuring respondents for confidential information, violating privacy, fabricating or altering data, reporting only favourable data, claiming others’ work, releasing results prematurely, duplicate publication, and ghost, guest or gift authorship.

Revision points

  • Methods are the how; methodology is the why.
  • Quantitative (positivist, deductive); qualitative (interpretivist, inductive); mixed (pragmatist).
  • A paradigm comprises ontology, epistemology and methodology.

Evolving Research Design

Contents

  1. Elements and types of research design
  2. Descriptive versus analytical research
  3. Observational versus experimental research
  4. Prospective, retrospective and cross-sectional designs
  5. Case-control versus nested case-control design
  6. Conceptual versus empirical research
  7. Design in descriptive and diagnostic research
  8. Design in exploratory research
  9. Design in hypothesis-testing research
  10. Mixed-methods research designs
  11. Supplement: chance, bias, confounding and causal inference

2.1 Elements and types of research design

A research design is “the plan, structure and strategy of investigation conceived so as to obtain answers to research questions and to control variance” (Kerlinger, 1986); Zikmund (2007) calls it a master plan specifying the methods and procedures for collecting and analysing the needed information. It states what the study is about and why, where it will be done, what data are needed, over what period, with what sampling design, which collection techniques, how the data will be analysed and how the report will be written. Every decision must be justified by the objectives and be consistent with the research philosophy. A good design is flexible, appropriate and efficient, minimises bias, maximises reliability and yields maximum information.

Elements: research question or hypothesis; variables (independent = exposure or manipulated, dependent = outcome); data collection methods; sampling method; data analysis plan; time horizon (cross-sectional or longitudinal); ethics. Kothari’s components are sampling, observational, statistical and operational design.

QuestionDesign
Does the researcher assign the exposure?Yes: experimental (RCT, quasi-experiment)
No; is there a comparison group?No: descriptive (case report, case series, cross-sectional survey)
Comparison group presentAnalytical: selected by outcome = case-control; by exposure and followed = cohort; both measured at once = analytical cross-sectional

Designs are described as “evolving” because health care management is a young research area in Nepal and new influences are reshaping practice: mixed methods, mobile data collection (for example KoBo Collect), ethical scrutiny of data-intensive research, new technology (sensors, geospatial mapping), interdisciplinary collaboration and open access. Classifications of design are dimensions, not competing categories: one study may be analytical, observational, prospective, a cohort and empirical at the same time.

2.2 Descriptive versus analytical research

DescriptiveAnalytical
QuestionWhat, who, where, when, how manyWhy and how
PurposeDescribe characteristics and trendsTest hypotheses; explain causes
Comparison groupNot requiredRequired
MethodsCase report, case series, prevalence survey, ecological studyCohort, case-control, experiments
LimitationCannot establish causalityNeeds more rigour and resources

A case report describes one patient and a case series a group; both generate hypotheses. An ecological study compares whole groups (for example districts) from routine data and is exposed to the ecological fallacy, the false inference that a group-level relationship holds for individuals. A cross-sectional survey measures exposure and outcome together and gives prevalence. Descriptive research is often called ex post facto: the researcher cannot control the variables and reports what has occurred. Descriptive research generates hypotheses; analytical research tests them.

2.3 Observational versus experimental research

ObservationalExperimental
ResearcherObserves; does not interveneManipulates the independent variable
ExposureNaturally determinedAssigned by the researcher
CausalityCannot easily be establishedCan be established
BiasConfounding likelyReduced by randomisation and blinding
ExamplesCross-sectional, case-control, cohortRCT, quasi-experiment
LimitationNo control over variables; suits harmful exposuresMay not generalise; harmful exposures cannot be assigned

When an intervention is delivered without randomisation, the study is quasi-experimental (for example before-and-after or interrupted time series). It is practical in health systems but remains open to confounding.

2.4 Prospective, retrospective and cross-sectional designs

ProspectiveRetrospectiveCross-sectional
DirectionForward: exposure to outcomeBackward: outcome to exposureSingle point in time
DataNew data as events occurExisting records or recallExposure and outcome together
BiasMore control; less biasRecall and record biasSelection bias; no time sequence
Typical designCohortCase-control; record reviewPrevalence survey
MeasureIncidence; relative riskOdds ratioPrevalence
WeaknessCostly and slowWeaker evidenceCannot show causality

Cohort studies may be prospective, retrospective (historical, reconstructed from records) or ambispective; a case-control study is retrospective by nature. Cross-sectional studies of long-duration disease may over-represent survivors (prevalence–incidence bias).

2.5 Case-control versus nested case-control design

Case-control. Cases (with the outcome) and controls (without it) are selected and past exposure is compared; the measure is the odds ratio. It suits rare diseases, multiple exposures and outbreak investigation, and is quick and inexpensive. Its limitations are recall bias, selection bias in choosing controls and the absence of incidence. Nested case-control. A case-control study within a defined prospective cohort: members who develop the disease become cases, and controls are sampled from members still at risk when each case occurs.

Case-controlNested case-control
Source populationNot always clearly definedA defined cohort
Exposure dataCollected after the outcome; recall biasOften recorded before the outcome
EfficiencyQuick and cheapCheaper than analysing the whole cohort; suits costly biomarkers
Selection biasControl choice can biasReduced; same cohort

Cohort designs suit rare exposures; case-control designs suit rare diseases.

2.6 Conceptual versus empirical research

ConceptualEmpirical
FocusNew ideas, theories, frameworksTesting hypotheses with evidence
MethodReasoning; literature analysisExperiment, observation, data collection
OutcomeNew or reinterpreted conceptsEvidence-based conclusions

Conceptual research lays the groundwork that empirical research tests. Most health and management research is empirical.

2.7 Research design in descriptive and diagnostic research

Descriptive research portrays characteristics of a person, group or situation without manipulating variables, using surveys, case studies, observation or content analysis; its design is structured and uses probability sampling where generalisation is intended. Diagnostic research identifies how often a problem occurs and its underlying causes. Both require clear definitions, valid and reliable measures, ethical safeguards and an analysis plan. Advantages are a detailed baseline picture and relatively low cost; limitations are the absence of causal inference and limited generalisability.

2.8 Research design in exploratory research

Exploratory (formulative) design is flexible and unstructured, used for poorly defined problems. Its purpose is to gain insight, identify variables and generate hypotheses. Methods include literature review, experience survey, interviews, focus groups and case analysis. It is inexpensive and quick but not conclusive, and is most valuable at the start of an inquiry.

2.9 Research design in hypothesis-testing research

Hypothesis-testing research examines a stated proposition using analytical designs (experiments, cohort, case-control) and controls extraneous variables to support causal inference. The sequence is: state H0 and Ha; choose the design; collect data; select the test; compute the statistic and p-value; reject or fail to reject H0; interpret with confidence intervals and limitations (see Units 5 and 6).

2.10 Mixed-methods research designs

Mixed methods systematically integrates quantitative and qualitative data in one study through purposeful mixing and triangulation.

DesignSequencePurpose
Convergent parallelQUAN and QUAL concurrently; analysed separately, then mergedCompare and corroborate
Explanatory sequentialQUAN, then QUALQualitative data explain the numbers
Exploratory sequentialQUAL, then QUANQualitative work builds the instrument that is then tested
EmbeddedOne strand nested in a larger designFor example, interviews within a trial

Integration may be by connecting (one strand selects participants for the other), building (themes become questionnaire items) or merging (a joint display comparing results). Limitations are cost, the need for dual expertise and conflicting findings. Nepal-based examples include barriers to health care in traditional societies (qualitative) paired with approaches to improve public health (quantitative), and salary and working hours (quantitative) paired with job satisfaction (qualitative) among nurses in private hospitals of Kathmandu Valley.

Supplement: chance, bias, confounding and causal inference

ThreatMeaningControl
ChanceRandom error; shrinks with sample sizeLarger sample; confidence intervals
Selection biasSubjects differ systematically from the target populationRandom sampling; follow-up effort
Information biasExposure or outcome measured with errorBlinding; standard tools
ConfoundingA third factor linked to exposure and outcome, not on the causal pathRandomisation, restriction, matching; stratification, regression

Causal inference follows the criteria of Bradford Hill (strength, consistency, specificity, temporality, biological gradient, plausibility, coherence, experiment, analogy); temporality is the only essential criterion. Evidence is ranked from systematic reviews of randomised trials, through RCTs, cohort, case-control and cross-sectional studies, to case series and expert opinion.

Randomized Controlled Trials

Contents

  1. Concept, history and conduct of an RCT
  2. Arms of a trial, randomisation and blinding
  3. The CONSORT statement
  4. Types of bias and steps for minimising them
  5. Ethical considerations in RCTs
  6. Supplement: phases of clinical trials

3.1 Concept, history and conduct of an RCT

A randomised controlled trial (RCT) estimates the effect of an intervention (treatment, training, policy, medicine) by comparing a group that receives it with a control group (usual care, placebo, another intervention or none). Participants are assigned at random, so the groups are comparable at baseline and a difference at the end can be attributed to the intervention. Its key features are randomisation, a control group, blinding, a prospective design and intention-to-treat analysis. It is the standard for evaluating health services and interventions because it reduces selection bias, balances known and unknown confounders and has high internal validity; its weakness is external validity, which strict eligibility criteria, population and setting may limit.

Structure. Target population > eligibility screening and informed consent > baseline assessment > concealed random allocation > experimental or control arm > follow-up > blinded outcome measurement > intention-to-treat comparison.

DesignDescription
ParallelEach group receives a different intervention throughout
CrossoverEach participant receives the interventions in sequence with a washout period
FactorialTwo or more interventions tested alone and in combination (for example 2 × 2)
ClusterGroups (schools, clinics, villages) are randomised rather than individuals

History

YearEvent
1537Ambroise Paré compared wound treatments in soldiers (not randomised)
1747James Lind compared scurvy treatments at sea; citrus worked (controlled, not randomised)
1863Austin Flint used a dummy remedy against active treatment for rheumatism (early placebo control)
1920s–30sR. A. Fisher introduced randomisation in agricultural experiments
1948British Medical Research Council streptomycin trial for tuberculosis (Bradford Hill): the first modern RCT, with concealed random allocation but no placebo
1960s onwardRCTs become standard in medicine, psychology, economics and policy
2019Nobel Prize to Banerjee, Duflo and Kremer for experimental approaches to poverty

Design and conduct

Design requires a specific, answerable question; a defined intervention (content, duration, intensity); a unit of randomisation (individual, household, school, village); primary and secondary outcomes; a control condition; an implementation plan; and monitoring of fidelity, adherence and spillover. The conduct follows the protocol: (1) protocol with objectives, intervention, outcomes, sample size and randomisation plan; (2) ethical approval and trial registration; (3) recruitment by inclusion and exclusion criteria with written consent and a baseline survey; (4) random sequence generation and allocation concealment; (5) delivery of the intervention with blinding where possible and prevention of contamination; (6) collection of pre-specified outcomes and monitoring of adherence and adverse events; (7) endline survey and intention-to-treat analysis, with interim analysis only if planned; (8) reporting by CONSORT and dissemination to stakeholders.

3.2 Arms of a trial, randomisation and blinding

ArmReceives
ExperimentalThe new intervention
Placebo controlAn inactive substance identical in appearance
Active controlThe existing standard treatment
No-treatment controlNothing; outcomes monitored
Multi-armDifferent doses or combinations, or new versus standard versus placebo

Randomisation allocates participants to arms by chance (computer-generated numbers, coin toss), avoiding selection bias, balancing confounders and strengthening internal validity.

MethodUse
SimplePure chance; best in large samples; may give unequal groups in small trials
BlockEqual numbers in each arm at regular intervals (blocks of 4, 6, 8)
StratifiedGroup by key characteristics (age, sex, severity), then randomise within strata
ClusterRandomise groups; useful in public health and to limit contamination
Allocation concealmentBlinding (masking)
WhenBefore and at allocationAfter allocation, throughout the trial
HidesThe upcoming assignment sequenceEach participant’s arm
FromEnrolling staff and participantsParticipants, providers, assessors, analysts
PreventsSelection (allocation) biasPerformance and detection bias
MethodsCentral randomisation; sealed opaque numbered envelopesIdentical placebo; coded packs; blinded assessors
Always possible?YesNo (for example surgery)

Levels of blinding: single (participants or assessors), double (participants and investigators; the usual standard) and triple (including statisticians). Where blinding is impossible, use objective outcomes and independent assessors.

3.3 The CONSORT statement

CONSORT (Consolidated Standards of Reporting Trials) was first published in 1996 and revised in 2001 and 2010. The 2010 checklist has 25 items; the 2025 update has 30. It is a reporting guideline, not a tool for assessing trial quality, and has two core components: the checklist and the flow diagram. The flow diagram has four stages: enrolment (assessed for eligibility, excluded, randomised), allocation, follow-up (lost, discontinued) and analysis (analysed, excluded). Related guidelines: STROBE (observational studies), PRISMA (systematic reviews), STARD (diagnostic accuracy) and SPIRIT (trial protocols).

SectionContent
Title and abstractIdentification as a randomised trial; structured abstract
IntroductionBackground, rationale, objectives, hypotheses
MethodsDesign and allocation ratio; eligibility; interventions; outcomes; sample size; interim analyses; randomisation (sequence, concealment, implementation); blinding; statistics
ResultsParticipant flow; recruitment dates; baseline data; numbers analysed; effect sizes with confidence intervals; harms
DiscussionLimitations; generalisability; balanced interpretation
OtherRegistration; protocol access; funding

3.4 Types of bias and steps for minimising them

Bias is a systematic error that distorts the estimated effect.

BiasWhat happensMinimisation
SelectionGroups not comparable or representativeRandom sampling and allocation; clear criteria
AllocationAssignment predicted or influencedConcealment; central randomisation
PerformanceDifferences in care apart from the interventionBlind participants and providers; standard protocol
DetectionOutcomes assessed differently between groupsObjective measures; blinded assessors
AttritionUnequal losses between groupsReduce loss; record reasons; intention-to-treat
ReportingSelective reporting of outcomesRegister trial; pre-specify outcomes
ConfoundingThird variable linked to exposure and outcomeRandomisation, stratification, restriction, adjustment
Observer / response / recallExpectation, social desirability, poor memoryBlinding, training, neutral wording, records
Publication / fundingPositive results published more; sponsor influenceRegistries; disclosure of conflicts
Intention-to-treat (ITT)Per-protocol (PP)
AnalysedEveryone, as randomisedOnly those who complied
PrincipleOnce randomised, always analysedCompleters only
Preserves randomisationYesNo
AnswersReal-world effectivenessEfficacy under ideal compliance

Example. Of 100 randomised to a drug, 20 never took it; 56 of 80 takers and 6 of 20 non-takers were cured; 50 of 100 controls were cured. ITT gives 62% versus 50%; per-protocol gives 70% versus 50%, which is biased because compliers differ from non-compliers.

3.5 Ethical considerations in RCTs

  • Informed consent: purpose, procedures, risks, benefits and the right to withdraw at any time, with added safeguards for vulnerable groups.
  • Beneficence and justice: a favourable risk–benefit ratio; fair selection; those who bear the burden should share the benefit.
  • Equipoise: genuine uncertainty about which arm is better; if one is known to be superior, randomisation to the inferior arm is unethical.
  • Placebo: acceptable only where no proven treatment exists or withholding carries no serious risk; otherwise use an active control.
  • Oversight: ethics committee approval and a data and safety monitoring board with stopping rules (harm, overwhelming benefit, futility).
  • Transparency: trial registration, disclosure of conflicts, publication of negative results; compensation for injury; post-trial access to a beneficial intervention.

In Nepal, clinical trials require NHRC ethical approval; the 2022 guideline requires registration in a WHO-accredited registry and permission from the drug regulator (DDA) before the trial begins. Limits of RCTs in health management include ethical limits on withholding services, restricted external validity, contamination between wards or staff, cost and the frequent impossibility of blinding.

Supplement: phases of clinical trials

PhasePurposeTypical subjects
PreclinicalLaboratory and animal studiesNot human
ISafety, dosage, side effects20–100 volunteers or patients
IIPreliminary efficacy; optimal doseHundreds of patients
IIIConfirm efficacy against standard careHundreds to thousands; often multi-centre RCT
IVPost-marketing surveillance; rare and long-term effectsReal-world populations

Research Questions and Literature Review

Contents

  1. Selecting a topic, idea emergence, brainstorming and focusing the question
  2. Literature search: process, stages, search strategy and grey literature
  3. Systematic, narrative and scoping reviews
  4. Databases for literature searching
  5. Identifying variables
  6. Developing and refining research questions; aims, objectives and challenges

4.1 Selecting a topic, idea emergence, brainstorming and focusing the question

The path runs from a broad area to a generic topic, a research problem (a gap between the actual and the desired state), research questions tested against the FINER criteria, an aim, SMART objectives and, for analytical studies, hypotheses. A good topic is feasible, of genuine interest and within the researcher’s knowledge, expresses a relation between variables, is clearly stated with testable variables, is manageable in time and cost, has attainable data and is relevant to the organisation or society.

Where ideas emerge: hospital observation, management and administrative challenges, literature and policy review, discussion with supervisors and experts, service-delivery gaps and monitoring data. Brainstorming lists variables, populations and outcomes, asks who, what, where, why and how, and weighs feasibility, relevance and impact. Focusing specifies the population, setting and variables and makes the question measurable and aligned with the methodology.

A research problem is a difficulty for which a solution is sought; Sekaran (1992) defines it as a gap between the actual and the desired ideal state (for example, high staff turnover reducing profitability). Sources include complaints, observation, deviation from plan, reading and records. To define a problem: state it generally, understand its nature, survey the literature, consult experts and rephrase it analytically.

FrameworkUseComponents
PICO / PICOTQuantitative, clinicalPopulation, Intervention, Comparison, Outcome, Time
PECOObservationalPopulation, Exposure, Comparison, Outcome
SPIDERQualitativeSample, Phenomenon of Interest, Design, Evaluation, Research type
FINERTesting a questionFeasible, Interesting, Novel, Ethical, Relevant

4.2 Literature search: process, stages, search strategy and grey literature

A literature review summarises and analyses current knowledge on a topic. It refines the question and objectives, avoids duplication, identifies methods, tools and variables, reveals gaps and builds the theoretical framework.

LevelMeaningExamples
PrimaryOriginal work or dataOriginal studies, theses, government reports
SecondaryInterpretation of primary workBooks, review articles
TertiaryTools for locating the othersIndexes, abstracts, bibliographies

Steps: (1) define the problem and scope; (2) identify concepts and keywords, synonyms and MeSH terms; (3) select databases; (4) build the search using Boolean operators (AND narrows, OR widens, NOT excludes), truncation, phrases and filters; (5) screen titles, then abstracts, then full texts against inclusion and exclusion criteria; (6) appraise design, methods, data quality and limitations; (7) organise by theme, variable or method with a reference manager (Zotero, Mendeley, EndNote); (8) identify the gap; (9) write the review and document the search (database, string, hits, date). Snowballing from reference lists finds studies the search missed. A search strategy is the planned, transparent and reproducible form of these steps.

Grey literature is material produced outside commercial publishing (government and WHO reports, policy documents, theses, conference papers, MoHP annual reports, unpublished trial data). It is a concept separate from primary literature and may be primary or secondary. It reduces publication bias and supplies local data, but quality varies and indexing is poor, so authenticity, credibility, relevance and date must be checked and full retrieval details cited.

4.3 Systematic, narrative and scoping reviews

SystematicNarrativeScoping
PurposeAnswer a specific questionGeneral overviewMap the field; find gaps
QuestionNarrow, well definedBroad, flexibleBroad but structured
ProtocolPredefined, often registeredNoneRecommended
SearchComprehensive, reproducibleSelective, subjectiveComprehensive, transparent
Quality appraisalMandatoryNot requiredUsually not required
SynthesisMeta-analysis or structured narrativeDescriptiveThematic mapping
GuidelinePRISMANonePRISMA-ScR
ResourcesHighLowModerate

The PRISMA flow has four phases: identification, screening, eligibility and inclusion (for example, 1,250 records, 900 after duplicates, 780 excluded at screening, 120 full texts assessed, 85 excluded with reasons, 35 included). A systematic review answers a question; a scoping review explores a field.

4.4 Databases for literature searching

CategoryExamplesBest for
MultidisciplinaryScopus, Web of Science, Google Scholar, ProQuestBroad or emerging topics
Health sciencesPubMed/MEDLINE, Embase, CINAHL, Cochrane LibraryBiomedical and nursing evidence; systematic reviews
Social sciencesPsycINFO, Sociological Abstracts, ERICPsychology, sociology, education
Grey literatureOpenGrey, ProQuest DissertationsReducing publication bias
LocalNepJOL; university repositoriesNepal-specific studies
OrganisationalWHO, World Bank, ministry portalsPolicy documents and statistics

4.5 Identifying variables

VariableMeaningExample
IndependentThe cause or exposureTraining
DependentThe outcomeProductivity
ModeratingChanges the strength or direction of the relationshipAge over or under 50
Intervening (mediating)Lies on the causal pathwayTraining > motivation > productivity
ConfoundingLinked to exposure and outcome, not on the pathwayAge, socioeconomic status
ControlledHeld constantSetting, duration

4.6 Developing and refining research questions; aims, objectives and challenges

Question typeForm
DescriptiveWhat are the characteristics of X?
ComparativeWhat are the differences between X and Y?
CorrelationalWhat is the relationship between X and Y?
ExplanatoryDoes X affect Y?
EvaluationHow well does Y work?

A fully developed question is clear and specific (problem, population, context), researchable and measurable, focused and feasible, relevant, novel, ethical and aligned with the design. The aim is a single broad statement of intent; objectives are specific, measurable steps (one general and several specific), written with action verbs such as estimate, compare, assess or identify and not with vague verbs such as know or understand. Objectives should be SMART: specific, measurable, achievable, relevant and time-bound. Critical challenges include questions that are too broad or too narrow, unmeasurable variables, questions already answered, infeasibility (time, access, resources), ethical constraints and misalignment with the aim.

Revision points

  • Topic > problem (gap) > question > aim > SMART objectives.
  • Systematic (PRISMA, protocol, appraisal); scoping (maps; PRISMA-ScR); narrative (flexible, subjective).
  • Variables: independent, dependent, moderating, mediating, confounding, controlled.

Sampling Design

Contents

  1. Sampling unit, sampling frame and methods of sampling
  2. Criteria of a sampling procedure and types of sampling
  3. Sample survey versus census survey
  4. Probability versus non-probability sampling
  5. Calculation of sample size and statistical power
  6. Type I and Type II error
  7. Statistical, social and clinical significance

5.1 Sampling unit, sampling frame and methods of sampling

  • Population (universe): the complete set of cases from which a sample is drawn, finite or infinite. The target population is the group to which results are to be generalised; the accessible (study) population is the group that can actually be reached.
  • Sampling unit: the element or group forming the basis of selection (person, household, hospital); it may differ from the unit of analysis.
  • Sampling frame: the list of all sampling units from which the sample is drawn (register, residents’ list, map). It is often not identical to the population. Non-probability sampling needs no frame.
  • Sampling design: the plan for obtaining the sample from the frame, fixed before data collection.
  • Parameter and statistic: a parameter describes a population (μ, σ, P); a statistic describes a sample (x̄, s, p). Sampling estimates parameters from statistics.

Sequence: target population > accessible population > sampling frame > sample > statistic that estimates the parameter.

5.2 Criteria of a sampling procedure and types of sampling

A good procedure yields a truly representative sample, small sampling error, viability within the budget, control of systematic bias and results applicable to the population with reasonable confidence. The steps are: define the population; specify the frame; define the sampling unit; choose the method; weigh budget; determine sample size; write the operational plan; select the sample.

Probability sampling

Every unit has a known, non-zero chance of selection by a random mechanism, so sampling error can be measured. Only simple random sampling gives every unit an equal chance.

MethodHow it worksMeritDemerit
Simple randomLottery or random-number tableUnbiased; simpleNeeds a complete list; may miss subgroups
SystematicEvery kth unit after a random start; k = N/nEasy, cheap, evenly spreadBiased if the list has hidden periodicity
StratifiedDivide into homogeneous strata and sample each (proportionate or disproportionate)More precise; represents subgroupsNeeds prior information
Cluster / multistageRandomly select clusters, then units within themPractical for large, spread populationsLess precise than simple random for the same n

Examples. Stratified: a population of 100 (20 managers, 30 officers, 50 assistants) with a sample of 10 gives 2, 3 and 5 by proportionate allocation. Systematic: 1,200 records and a sample of 120 give k = 10; a random start of 7 selects 7, 17, 27 and so on. Strata are homogeneous within and all are sampled (raising precision); clusters are heterogeneous within and only some are sampled (lowering cost).

Non-probability sampling

MethodHow it worksUse
ConvenienceNearest, available, willing unitsPre-testing; quick work; not fully valid
PurposiveResearcher selects information-rich unitsKey informants; qualitative studies
QuotaFixed numbers per category, filled non-randomlyQuick surveys with known proportions
SnowballEligible people refer othersHard-to-reach groups

5.3 Sample survey versus census survey

Sample surveyCensus
CoverageSelected unitsAll units
Cost and timeLowVery high
Sampling errorPresentNone
Non-sampling errorPresentPresent, often large
ExampleOpinion polls; health surveysNational population census

Sampling saves time and money, allows more careful measurement by trained staff, is the only option for infinite populations or destructive testing (a blood sample), and permits estimation of sampling error.

Sampling errorNon-sampling error
NatureRandom variation around the true valueSystematic error in collecting or processing data
Larger sampleDecreasesDoes not decrease; occurs in a census too
MeasurableYes (standard error, confidence interval)Hard to quantify
ExamplesChance selection of unrepresentative unitsPoor frame, non-response, interviewer error, coding error

5.4 Probability versus non-probability sampling

ProbabilityNon-probability
SelectionRandomNon-random
Frame neededYesNo
BiasLess researcher biasHigher risk
GeneralisationPossibleDifficult
Cost and timeMoreLess
UseQuantitative, analytical, epidemiologicalExploratory, qualitative, pilot, hidden populations

5.5 Calculation of sample size and statistical power

An inappropriate sample size yields invalid conclusions: too small a sample gives weak results and a high Type II error; too large a sample wastes resources and exposes participants unnecessarily. Calculation is therefore a scientific and an ethical requirement. Determinants are the homogeneity of the universe, variability (take p = 0.5 when unknown), the number of subgroups, the nature of the study, the type of sampling, the required precision and confidence (halving the margin of error needs four times the sample), and resources. Z values: 90% = 1.645; 95% = 1.96; 99% = 2.576; power 80% = 0.84; 90% = 1.28. Qualitative studies use saturation, not formulae.

PurposeFormula
Single proportion (Cochran)n = Z²p(1 − p) / d²
Single meann = Z²σ² / d²
Finite populationnadj = n / (1 + (n − 1)/N)
Non-responsenfinal = n / (1 − non-response rate)
Cluster designDEFF = 1 + (m − 1)ρ; ncluster = n × DEFF
Two means (per group)n = 2σ²(Zα/2 + Zβ)² / difference²
Two proportions (per group)n = (Zα/2 + Zβ)²(p₁q₁ + p₂q₂) / (p₁ − p₂)²

Worked examples. With Z = 1.96, p = 0.5 and d = 0.05, n = 384.16, taken as 385. For an expected prevalence of 30% with d = 5% and 95% confidence, n = 3.8416 × 0.30 × 0.70 / 0.0025 = 322.7, so 323; with 10% non-response, 323 / 0.9 ≈ 359. To compare 40% with 25% at 95% confidence and 80% power, n = 7.84 × (0.24 + 0.1875) / 0.0225 ≈ 149 per group. For a mean with SD 12 mmHg and d = 2, n = 3.8416 × 144 / 4 ≈ 139. Software such as OpenEpi or G*Power should be used for complex designs, with all assumptions stated.

Statistical power is the probability that a test correctly rejects a false null hypothesis, 1 − β; the minimum acceptable is 80%. Power increases with larger samples, a higher α, a larger effect size and lower variability.

5.6 Type I and Type II error

A hypothesis is a testable statement about population parameters. The null hypothesis (H0) states no difference, effect or relationship; the alternative (H1) states that one exists. The significance level α, usually 0.05, is the maximum tolerated probability of rejecting a true null. If p ≤ α, reject H0; otherwise fail to reject it (never “accept” H0).

DecisionH0 trueH0 false
Reject H0Type I error (α; false positive)Correct (power = 1 − β)
Fail to reject H0Correct (1 − α)Type II error (β; false negative)
Type IType II
ExampleConcluding a drug works when it does notConcluding a method has no impact when it does
Controlled byFixing α in advanceSample size and power

Lowering α raises β; only a larger sample reduces both. Parametric tests (t, z, F, ANOVA) assume a known, usually normal, distribution and interval or ratio data and are more powerful; non-parametric tests (chi-square, Mann-Whitney U, Kruskal-Wallis, Wilcoxon) are distribution-free and suit nominal or ordinal data and small samples.

5.7 Statistical, social and clinical significance

StatisticalSocialClinical
FocusProbabilitySocial impactHealth impact
Basisp ≤ αContext, equity, policyReal change in outcome or quality of life
QuestionIs it real, not chance?Does it matter to society?Does it help patients?

Statistical significance depends on sample size: a negligible effect becomes “significant” in a very large sample (a 1 mmHg fall in blood pressure may have p < 0.05 without benefit). Clinical significance is judged by effect size, absolute risk reduction, number needed to treat and clinical judgement. Results should be reported as an effect size with a confidence interval, not as a p-value alone.

Data Collection and Management

Contents

  1. Types of data; approaches to information gathering; primary and secondary sources
  2. Interviews, questionnaires and recording of responses
  3. Data preparation
  4. Analysis and presentation of data
  5. Interpretation
  6. Communicating and displaying analysed data
  7. Practical sessions: SPSS and ATLAS.ti
  8. Supplement: worked statistical procedures

6.1 Types of data; approaches to information gathering; primary and secondary sources

Quantitative data are numeric and analysed statistically. They are numerical (discrete: countable, such as patients admitted; continuous: may take decimals, such as blood pressure) or categorical, measured on four scales (mnemonic NOIR).

ScalePropertyExamplesSuitable statistics
NominalLabels onlySex, blood groupFrequency, percentage, mode, chi-square
OrdinalRank order, unequal gapsCancer stage, satisfaction categoryMedian, percentile, rank tests
IntervalEqual intervals, arbitrary zeroTemperature in °CMean, SD, t-test, ANOVA
RatioEqual intervals and true zeroHeight, weight, incomeAll, including coefficient of variation

A single Likert item is ordinal; a summed Likert scale is often treated as interval, which should be stated. A higher scale can be collapsed into a lower one (age to age groups) but not the reverse. Qualitative data are non-numeric and context-rich (transcripts, field notes, audio, images, documents, artefacts) and answer why, how and with what meaning. Rigour requires an explicit framework, clear description of context and sampling, triangulation, analysis by a second researcher, enough raw data to support interpretation and reflexivity (reflection on the researcher’s role and bias). Software includes NVivo, ATLAS.ti and Dedoose.

Primary data are collected first-hand for the problem (observation, interview, questionnaire, experiment, measurement, focus group): specific, controlled and current, but costly and slow. Secondary data were collected earlier by others (HMIS, census, NDHS, hospital records, reports): cheap and quick, but possibly unreliable, outdated or inconsistent in units. Secondary sources are appraised with PROMPT (Presentation, Relevance, Objectivity, Method, Provenance, Timeliness), returning to the original source for accuracy. Observation may be participant (four roles: complete participant, participant as observer, observer as participant, complete observer) or non-participant, using diary, checklist, rating scale, camera or recorder.

6.2 Interviews, questionnaires and recording of responses

MethodFeaturesDisadvantage
StructuredFixed questions and order; mainly quantitativeRigid; limited depth
Semi-structuredTheme guide with flexible probing; most common qualitative formNeeds skill and time
UnstructuredInformal, respondent-ledHard to compare; interviewer bias
Focus groupModerator guides 6–10 homogeneous participantsDominant voices; sensitive topics
Face-to-faceProbing; high responseCostly
TelephoneCheap and fastNo visual cues; short topics only
OnlineConvenientDigital divide; limited rapport

Computer-assisted modes are CAPI (face-to-face), CATI (telephone) and CASI (self-administered, suited to sensitive questions). Approaching respondents: obtain informed consent, ensure voluntariness, explain purpose and use of data, introduce oneself with identification, and use polite, non-coercive language at a convenient time; advance letters, call-backs and reminders reduce non-response. Technique: prepare (objectives, guide, rapport); conduct (general to specific, open questions, active listening, neutral wording, no leading questions); probe (clarification, elaboration, silence); close (summarise, thank, explain next steps). Recording: written notes (quick, miss detail), audio (accurate; needs consent and transcription), video (captures non-verbal cues; intrusive); obtain consent before recording, back up files, transcribe and verify, and anonymise.

Questionnaire design: define the information need; decide the survey type; content of each question; open or closed format; wording; sequence; pre-coding; layout; pre-test; finalise. Avoid ambiguous, double-barrelled, leading, loaded and double-negative questions and questions beyond memory. Begin with an easy opener, keep a logical flow, place sensitive items in the body and demographics at the end.

6.3 Data preparation

  • Checking: completeness, eligibility and consistency (a 15-year-old with a degree is a red flag).
  • Editing: field editing during collection and office editing before entry; flag ambiguous answers and never guess; cross out and sign rather than erase.
  • Coding: numeric codes recorded in a codebook (variable, label, codes, missing codes); categories mutually exclusive and exhaustive.
  • Entry and cleaning: double entry where possible; range, consistency and duplicate checks; document every step.
  • Tabulation: orderly rows and columns; a table has number, title, caption, stub, body, head note, foot note and source.

Missing values are classed as missing completely at random (MCAR), at random (MAR) or not at random (MNAR, the most serious). When more than about 10–15% is missing, handle with care: deletion (listwise or pairwise) or imputation (mean or median, regression, or multiple imputation, preferred in health research because mean imputation understates variance); report the percentage missing, the method and the reason. Outliers arise from entry error, measurement error or true extremes; detect them by box plot, histogram, scatter plot, z-score beyond 3 or the 1.5 × IQR rule, verify against the source and never delete silently.

6.4 Analysis and presentation of data

Analysis may be univariate, bivariate or multivariate. Descriptive statistics comprise frequencies and percentages, central tendency (mean, median, mode) and dispersion (range, SD, variance, IQR); use mean and SD for roughly normal data and median and IQR for skewed data (length of stay, costs). Inferential statistics estimate and test hypotheses about populations.

OutcomeComparisonParametricNon-parametric
NumericTwo independent groupsIndependent t-testMann-Whitney U
NumericTwo paired measurementsPaired t-testWilcoxon signed-rank
NumericThree or more groupsOne-way ANOVAKruskal-Wallis
NumericNumeric predictorPearson correlation; linear regressionSpearman
CategoricalCategorical predictorChi-square (Fisher’s exact if counts are small); McNemar for paired data
BinarySeveral predictorsLogistic regression

ANOVA assumes a numeric outcome, independent observations, approximate normality within groups (Shapiro-Wilk) and equal variances (Levene’s test). Qualitative analysis is inductive (themes emerge from data) or deductive (theory first), commonly combined. Thematic analysis (Braun and Clarke) proceeds through familiarisation, coding, generating themes, reviewing themes, defining and naming themes, and writing up with illustrative quotations. Other approaches are content, narrative and discourse analysis, grounded theory and framework analysis.

6.5 Interpretation

Descriptive: n and percent for categories; mean and SD (normal) or median and IQR (skewed). Measures of association (2 × 2 table with cells a, b / c, d): relative risk RR = [a/(a + b)] / [c/(c + d)] (cohort, RCT); prevalence ratio (cross-sectional); odds ratio OR = ad/bc (case-control; approximates RR when disease is rare). A ratio of 1 indicates no association, above 1 a risk factor and below 1 a protective factor. Correlation: Pearson r (linear) and Spearman ρ (ranks). Regression: linear (numeric outcome), logistic (binary outcome; adjusted odds ratios) and multiple (adjusting for confounders).

The p-value is the probability of results at least as extreme as those observed if H0 is true; it is not the probability that H0 is true and not an effect size. A 95% confidence interval gives plausible values for the parameter; if a ratio’s interval includes 1 (or a difference’s includes 0) the result is not significant at 5%.

Qualitative approachCore idea
ThematicIdentify, analyse and report patterns
ContentClassify and summarise categories in text
Framework (Ritchie and Spencer)Matrix-based; familiarisation, thematic framework, indexing, charting, mapping and interpretation
Grounded theory (Glaser and Strauss)Builds theory by constant comparison (open, axial, selective coding) to saturation

Trustworthiness (Lincoln and Guba) is secured by credibility (triangulation, member checking), transferability (thick description), dependability (audit trail) and confirmability (reflexivity).

6.6 Communicating and displaying analysed data

PurposeDisplay
Key findings in a sentenceText
Exact valuesTable
Categories comparedBar chart (pie only for few parts of a whole)
Trend over timeLine graph
Distribution of a numeric variableHistogram
Two numeric variablesScatter plot
Spread and outliersBox plot

Label axes and units, convey one message per figure and link each result to an objective. Report the estimate with its 95% confidence interval and the exact p-value. Tables are numbered and titled above; figures below. Quotations should be short, verbatim and anonymised (for example “Female nurse, 35 years, FGD 2”), balancing typical and divergent views.

6.7 Practical sessions: SPSS and ATLAS.ti

SPSS: Variable View (name, type, label, values, missing codes, measure) > Data View (one row per respondent) > clean (Frequencies, Explore) > transform (Recode, Compute) > analyse (Crosstabs for chi-square; Compare Means for t-test and ANOVA; Correlate; Regression) > output (exact p and 95% CI; save data, syntax and output).

ATLAS.ti: create a project > add documents (transcripts, notes, PDFs, images, audio) > code quotations (open or deductive) > merge and refine codes into a codebook > write memos > group codes into themes > explore (code manager, co-occurrence, networks) > query by document group > export reports and quotations.

Supplement: worked statistical procedures

Spread and the normal curve. For 4, 6, 6, 8, 11: mean 7, median 6, variance 28/4 = 7, SD 2.65. In a normal distribution about 68%, 95% and 99.7% of values lie within 1, 1.96 and 3 SD of the mean; z = (x − mean)/SD.

Standard error and confidence interval. SE of a mean = SD/√n; of a proportion = √(pq/n). If 45 of 150 women are anaemic, p = 0.30, SE = 0.037 and the 95% interval is 22.7% to 37.3%.

Hypothesis test. State H0 and H1; set α and tails; choose the test and check assumptions; compute the statistic; find the critical value or p; decide; interpret with effect size and interval. Two-tailed critical Z: ±1.645 (α 0.10), ±1.96 (0.05), ±2.576 (0.01). Example: mean waiting time claimed 30 minutes; sample of 64 gives mean 33, SD 12; SE = 1.5, Z = 2.0 > 1.96, so H0 is rejected (p ≈ 0.046); the interval 30.06 to 35.94 excludes 30.

TestStatisticdf
One-proportion Z(p − P0)/√(P0Q0/n)—
One-sample t(x̄ − μ0)/(s/√n)n − 1
Independent t(x̄1 − x̄2)/[Sp√(1/n1 + 1/n2)]n1 + n2 − 2
Paired td̄/(sd/√n)n − 1
One-way ANOVAF = MSB/MSWk − 1; N − k
Chi-squareΣ(O − E)²/E(r − 1)(c − 1)

ANOVA example. Haemoglobin under supplements A (5, 6, 7, 6), B (8, 9, 7, 8) and C (10, 11, 9, 10): SSB = 32 (2 df), SSW = 6 (9 df), F = 16/0.667 = 24.0, above the critical 4.26, so H0 is rejected; a post hoc test (Tukey HSD = 1.61) shows every pair differs. Repeated t-tests would inflate the false-positive rate (to about 14% for three pairs).

Chi-square example. Of 100 cases and 100 controls, 60 and 30 were exposed. Expected counts are 45, 45, 55 and 55, so χ² = 5 + 5 + 4.09 + 4.09 = 18.18 on 1 df (critical 3.84; p < 0.001): exposure and case status are associated. Expected counts should be at least 5 in at least 80% of cells; otherwise use Fisher’s exact test.

Simple regression. For training years x = 1–5 and satisfaction y = 2, 4, 5, 4, 5: b = 0.6, a = 2.2, R² = 0.60, but t = 2.12 on 3 df is below the critical 3.182, so the slope is not significant: a high R² with five observations does not establish a relationship. Residual plots should show random scatter about zero; assumptions are linearity, independent errors, normal residuals and constant variance.

Ethical Aspects of Health Research

Contents

  1. Introduction to ethics and profession
  2. Ethical aspects in health research: history, codes and principles
  3. Ethical issues in the research problem and plagiarism
  4. Ethical issues in collecting information
  5. Ethics in writing and disseminating research
  6. Roles of the Nepal Health Research Council (NHRC)

7.1 Introduction to ethics and profession

Ethics comprises the norms of conduct, the discipline that studies standards of conduct and a way of deciding how to act. It draws on the Hippocratic tradition of non-maleficence (the phrase “first, do no harm” is not literally in the Oath, which promises to abstain from doing harm). Integrity is consistent behaviour in line with principles; honesty is truthfulness and fairness even when a finding is inconvenient; loyalty is allegiance to a person, group or institution and must never override honesty in reporting. “Pure” research is not exempt from ethics, as the history of research abuse shows.

7.2 Ethical aspects in health research: history, codes and principles

EventLesson
Tuskegee syphilis study (1932–72): 399 poor, mostly illiterate African American men with syphilis (and 201 controls) were left untreated and deceived, even after penicillinNo informed consent; denial of treatment; exploitation of the poor
Nazi experiments (1939–45)Led to the Nuremberg trials
Nuremberg Code (1947): ten principles; voluntary informed consent essentialFirst international research ethics code
Willowbrook (1956–70): institutionalised children deliberately infected with hepatitisCoercion of parents and vulnerable children
Declaration of Helsinki (1964), World Medical AssociationSubject’s welfare before science and society; independent committee review added in 1975
Beecher (1966): 22 unethical studies listed in NEJMJournals should examine consent
Belmont Report (1979)Three principles; basis of regulation
CIOMS guidelines (from 1982)Cultural context and external review in developing countries

Participants are protected by two pillars: informed consent and independent ethics review.

Belmont principleMeaningApplied as
Respect for persons (autonomy)Treat people as autonomous; protect those with diminished autonomyInformed consent; voluntariness
BeneficenceDo good; avoid harmMaximise benefit, minimise risk
JusticeFairnessFair selection; no exploitation; benefits shared with those who bear the burden

Non-maleficence is contained within beneficence, so Belmont names three principles; the Beauchamp and Childress model names four (autonomy, beneficence, non-maleficence, justice). Vulnerable populations include children, the elderly, the mentally ill, the poor and uneducated, pregnant women, prisoners, and employees, students or soldiers, who are open to coercion by authority. Recruiting one’s own students or employees is coercion-prone; recruitment should be open to a wider population.

7.3 Ethical issues in the research problem and plagiarism

A research problem should be essential (not trivial or duplicative), worth the burden placed on participants, and not designed to exploit or stigmatise a group. The NHRC guidelines rest on four core principles (respect for autonomy; beneficence and non-maleficence; justice; respect for the environment) and thirteen general principles, including essentiality, voluntariness, non-exploitation, social responsibility, privacy and confidentiality, risk minimisation, benefit maximisation, professional competence, transparency and accountability, and dissemination of findings. Externally sponsored research requires a Nepali principal investigator who carries legal, technical and ethical responsibility in Nepal; transfer of biological samples abroad requires an agreement.

Plagiarism is presenting another’s words, data or ideas as one’s own, including self-plagiarism and patchwriting. It is avoided by citing sources, quoting exact words with quotation marks, paraphrasing properly with citation, keeping note records and using similarity-check software. Related misconduct includes fabrication, falsification, authorship misconduct (ghost, guest, gift), undeclared conflicts of interest, salami slicing and duplicate publication.

7.4 Ethical issues in collecting information

Informed consent is a process, not merely a form, by which a person voluntarily confirms willingness to participate after being told all relevant aspects. It requires decision-making capacity and a signed, dated form; where a person cannot sign, a thumbprint with an independent literate witness is used. Valid consent requires adequate information, comprehension, voluntariness and competence.

Age (NHRC 2022)Requirement
18 and aboveWritten consent by the person
12 to under 18Written consent of the legally authorised representative plus written assent of the child
7 to under 12Representative’s consent plus verbal assent (recorded on audio or video)
Under 7Representative’s consent; no assent required

A child’s refusal must be respected; adults lacking capacity need a legally authorised representative. A consent form states purpose, procedures, risks and discomforts, benefits, payment, voluntary participation and the right to withdraw without penalty, compensation for injury, confidentiality, alternatives, sample storage, contacts and signature. Incentives should compensate time and expense without becoming an undue inducement and must not depend on remaining in the study. Sensitive information (sexual behaviour, illegal acts, HIV, mental health, violence) calls for private settings, trained interviewers, the option to skip questions, referral for support and protection from legal or social harm. Confidentiality is protected by anonymous collection where possible, coding and removal of identifiers, restricted access, encryption and separate storage of consent forms; it may be breached only in strict exceptions (for example child abuse or imminent harm) after consulting the ethics committee. Bias is limited by randomisation, blinding, training, protocol compliance, restriction and stratification, and by reporting unexpected findings.

7.5 Ethics in writing and disseminating research

  • Report honestly and completely, including negative and unexpected findings; do not report outcomes selectively.
  • ICMJE authorship requires all four criteria: substantial contribution to conception, design or analysis; drafting or critical revision; final approval; and accountability for the work. Other contributors are acknowledged.
  • Gift authorship (no real contribution), guest authorship (a prominent name added for prestige) and ghost authorship (the real writer omitted) are misconduct.
  • Disclose funding and conflicts of interest; state ethical approval and consent.
  • Register clinical trials; use reporting guidelines (CONSORT, STROBE, PRISMA).
  • Avoid duplicate and salami publication; correct or retract errors; protect participants’ identity in tables, images and quotations; share findings with communities and policy makers.

7.6 Roles of the Nepal Health Research Council (NHRC)

History. The Nepal Medical Research Committee was set up on 15 April 1982 under the Ministry of Health as the first regulatory body. The NHRC was established on 12 April 1991 by an Act of Parliament as an autonomous body; the National Health Research Policy followed in 2003. Responsibilities: to promote and coordinate health research, undertake or commission research on current and future problems, provide consultancy and information, and advise government for evidence-based policy and planning.

NHRC Act 1991. Section 3 establishes the Council. Under Section 11, any individual or organisation wishing to conduct health research must obtain the Council’s permission, which may set conditions. Under Section 12 the Council may issue directions and may warn or restrict research conducted without approval or in breach of directions, after giving a fair chance to defend.

Executive committee (Act, Section 7). Seven persons nominated by government from among physicians of modern and ayurvedic medicine with health research experience (including a chairperson and vice-chairperson); representatives of the Ministry of Finance, the National Planning Commission and the Ministry of Health; the head of the Research Committee of the Institute of Medicine; the Chairperson of the Nepal Medical Council; and a member secretary designated by government. Sections: Ethical Review, Monitoring and Evaluation; Research; Capacity Building; Information and Library; Journal of NHRC.

Ethical review pathway. Proposals are developed with consent forms and tools; most institutional studies go to the Institutional Review Committee (IRC) of the institution; national-level studies, externally funded studies and clinical trials go to the NHRC Ethical Review Board (ERB); approval is followed by data collection with progress reports, adverse-event reports and amendments, and a final report. The ERB has been FERCAP-accredited since November 2019 and uses a digital application system; about 56 IRCs are accredited according to the lecture (recent sources give about 60 to 63). Clinical trials must be registered in a WHO-accredited registry (a national registry is being built under a December 2024 NHRC–WHO agreement).

Journal of NHRC (JNHRC) is the Council’s peer-reviewed, open-access journal, started in 2002 and indexed in MEDLINE and PubMed since 2010; an ethical approval letter is compulsory and trials require a registry number. The National Ethical Guidelines for Health Research in Nepal have been revised several times (2001, 2011, 2019 and the current 2022 edition). Legislation determines what is mandatory, deters violators and provides access to justice, but ethics remains necessary because not everything can be legislated.

Revision points

  • Nuremberg 1947 > Helsinki 1964 (committee review added 1975) > Belmont 1979; Tuskegee as the classic failure.
  • Belmont: respect for persons, beneficence, justice; protections are consent and independent review.
  • NHRC: 1991 Act; permission under Section 11; ERB and IRCs; registry; JNHRC.

Writing Research Proposal and Report

Contents

  1. Statement of the problem, research questions and hypothesis generation
  2. Study design, sampling and test instrumentation
  3. Study tools design and implementation procedure
  4. Validation and reliability
  5. Report outline and steps in report writing
  6. Writing a citation and bibliography
  7. Precautions for writing a research report

A research proposal is a persuasive document proposing a study: question, objectives, literature review, methodology, expected results and impact. Its audience is funding agencies, academic institutions and ethics committees. It is written in the future tense and ends at the analysis plan; the report uses the past tense and adds results, discussion, conclusions and recommendations.

8.1 Statement of the problem, research questions and hypothesis generation

The problem statement is concise and precise: what the problem is and why it matters, rooted in the gap between the actual and the desired state. It proceeds like a funnel: the ideal state, the reality (the failure or burden), evidence of its magnitude, the gap in knowledge and how this study addresses it. The rationale explains why the study is needed and who will use the results. Ideas arise from the literature, discussion and brainstorming, district meetings and seminars, observation, monitoring data and daily experience.

One to three research questions show the relationship among variables. Hypotheses are testable, derive from theory or observation, state a null and an alternative, and are directional or non-directional. Objectives comprise one general and several specific objectives with action verbs, following SMART criteria. Example (outpatient satisfaction in a district hospital): H0, there is no association between waiting time and satisfaction; H1, longer waiting is associated with lower satisfaction.

8.2 Study design, sampling and test instrumentation

The methodology chapter states and justifies: the study design (cross-sectional or longitudinal; descriptive or analytical) and approach; study area and population; inclusion and exclusion criteria; study unit and sampling unit; sampling frame and technique; sample size calculation (or saturation) with formula, assumptions and non-response allowance; variables with operational definitions; and the conceptual framework. An operational definition states how a variable will be measured so that others can replicate it (for example, “long waiting time” = more than 60 minutes from registration to start of consultation, recorded on a tracking slip).

8.3 Study tools design and implementation procedure

TechniqueTool
Structured interview or surveyInterview schedule or questionnaire
In-depth interviewOpen-ended interview guide
Focus group discussionFGD guide and moderator checklist
Direct observationObservation checklist

When a standard tool is adopted, state the permission obtained, its validity and reliability, and any translation and back-translation. Building a tool proceeds from the objectives and conceptual framework: review existing validated tools; draft items, formats and instructions; use simple, specific wording; obtain expert review; translate and back-translate if needed; pre-test; revise; and train and supervise data collectors. A pre-test tries the instrument on a small group from the target population (about 5–10% of the planned size) outside the study area to check wording, skip patterns and timing; a pilot study is a rehearsal of the whole procedure including recruitment, logistics, entry and variance estimates.

Implementation specifies who collects data, enumerator training, supervision, timeline, quality checks (daily review of forms, double entry of a sample) and handling of non-response. The analysis plan covers entry, cleaning and a table giving each variable’s scale and the descriptive and inferential test for each objective. Ethical considerations include IRC or NHRC approval, informed consent, confidentiality and benefit to participants. A work plan (Gantt chart by month) and an itemised budget (personnel, field costs, equipment and software, ethical review, dissemination, and a contingency of 5–10%) complete the proposal.

8.4 Validation and reliability

Validity is whether an instrument measures what it intends to measure.

TypeMeaningMethod
FaceAppears relevantInformal review
ContentItems cover the whole constructExpert panel; content validity index (about 0.8 or higher)
CriterionAgrees with a gold standardConcurrent or predictive comparison
ConstructMeasures the abstract constructFactor analysis; known groups; convergent and discriminant validity

Reliability is consistency of results.

TypeMeaningStatistic
Internal consistencyItems measure the same constructCronbach’s alpha: ≥ 0.70 acceptable, ≥ 0.80 good; above about 0.90 may indicate redundancy
Test-retestStability over timeCorrelation or intraclass correlation
Inter-raterAgreement between observersCohen’s kappa
Split-halfTwo halves agreeCorrelation with Spearman-Brown correction

Cohen’s kappa = (Po − Pe)/(1 − Pe), where Po is observed and Pe chance-expected agreement. Landis and Koch bands: 0.01–0.20 slight; 0.21–0.40 fair; 0.41–0.60 moderate; 0.61–0.80 substantial; 0.81–1.00 almost perfect. Worked example: two raters classify 100 charts (both complete 70, both incomplete 15, disagreements 10 and 5): Po = 0.85, Pe = 0.80 × 0.75 + 0.20 × 0.25 = 0.65, kappa = 0.20/0.35 = 0.57, moderate agreement. A reliable instrument may be invalid (a scale that always reads 2 kg too heavy), but an unreliable one cannot be valid: reliability is necessary, not sufficient. Qualitative rigour is assessed by credibility, transferability, dependability and confirmability; in mixed methods, report validity and reliability for each strand (Zohrabi, 2013; Bolarinwa, 2015).

8.5 Report outline and steps in report writing

Steps: logical analysis of the subject matter; final outline; rough draft; rewriting and polishing (the hardest step); final references; final draft in concise, objective, simple language.

PartContents
PreliminariesTitle and approval pages; acknowledgement; abstract (about 250–300 words, written last); contents; lists of tables and figures; abbreviations
IntroductionBackground tapering to the problem; problem statement; rationale; questions and hypotheses; objectives; operational definitions
Literature reviewSearch strategy; review organised by objective and variable, ending with the gap; conceptual framework
MethodologyDesign, area, population, sampling, sample size, tools, pre-test, validity and reliability, data collection, analysis plan, ethics
Results (report)Findings by objective, in tables, figures and quotations, without interpretation
Discussion (report)Comparison with the literature; explanation; strengths and limitations
Conclusions and recommendations (report)Conclusions answer the objectives; recommendations are actionable and say who should act
SupplementaryReferences; appendices (tools, consent form, work plan, budget)

The IMRaD structure (Introduction, Methods, Results and Discussion) underlies scientific articles. Findings state facts; conclusions weave them together. Use short sentences, sub-headings, uniform format and objective language, and reserve “significant” for statistical significance.

8.6 Writing a citation and bibliography

A citation acknowledges a source in the text; the reference list gives full details of cited sources; a bibliography may also include works consulted but not cited. One style is used consistently.

VancouverAPA (author–date)
In textNumber(Creswell, 2018)
List orderOrder of first citationAlphabetical
Journal articleAuthor AA, Author BB. Title. Abbreviated Journal. Year;Volume(Issue):pages.Author, A. A., & Author, B. B. (Year). Title. Journal, volume(issue), pages.
Common inMedicineSocial and behavioural sciences

Grey literature is cited fully (organisation, title, year, URL, access date). Reference managers (Zotero, Mendeley, EndNote) help; every in-text citation must appear in the list and vice versa. An abbreviation shortens a word (J Nepal Health Res Counc); an acronym is formed from initials (WHO).

8.7 Precautions for writing a research report

  • Stay with the objectives; omit irrelevant material.
  • Separate findings from interpretation; support conclusions with data; do not overgeneralise; state limitations honestly.
  • Be consistent in terminology, units and numbering of tables and figures.
  • Report negative findings and missing data; protect participants’ identity.
  • Cite everything used; avoid plagiarism; follow the institution’s format.
  • Revise several times, obtain a colleague’s review and proofread.
  • Follow reporting guidelines: CONSORT (trials), STROBE (observational studies), PRISMA (reviews), STARD (diagnostic accuracy).

Appendices – Revision Tables, Formulae and Reporting Guidelines

Contents

  1. Appendix A: Master comparison table
  2. Appendix B: Formulae at a glance
  3. Appendix C: Reporting guidelines and key dates

Appendix A: Master comparison table

PairKey differenceUnit
Methods vs methodologyHow (tools) vs why (logic and philosophy)1
Basic vs appliedTheory and curiosity vs an immediate practical problem1
Positivism vs interpretivismOne objective reality, deductive vs multiple constructed realities, inductive1
Descriptive vs analyticalWhat, no comparison group vs why, comparison group2
Observational vs experimentalResearcher does not assign exposure vs does2
Case-control vs cohortStarts from outcome, odds ratio vs starts from exposure, relative risk2
Case-control vs nested case-controlVague source population vs defined cohort with prospective exposure data2
Allocation concealment vs blindingBefore allocation (selection bias) vs after (performance and detection bias)3
ITT vs per-protocolAll randomised vs compliers only3
Systematic vs scoping vs narrativeQuestion and protocol vs map of the field vs flexible overview4
Stratified vs clusterSample every homogeneous stratum vs sample whole heterogeneous clusters5
Probability vs non-probabilityKnown chance, generalisable vs unknown chance, exploratory5
Sampling vs non-sampling errorFalls with n vs does not5
Type I vs Type II errorα, false positive vs β, false negative5
Statistical vs clinical significancep-value vs patient benefit5
Primary vs secondary dataFirst-hand vs existing6
Parametric vs non-parametricNormal, interval or ratio data vs distribution-free, nominal or ordinal6
Reliability vs validityConsistency vs accuracy8
Pre-test vs pilotWording and clarity of the tool vs rehearsal of the full procedure8
Citation vs bibliographyIn-text acknowledgement vs full list at the end8

Appendix B: Formulae at a glance

Symbols: x̄ sample mean; s sample SD; n sample size; N population size; p sample proportion, q = 1 − p; σ population SD; μ population mean; α significance level; β Type II error; df degrees of freedom.

ItemFormula
Mean, variance, SD, CVx̄ = Σx/n; s² = Σ(x − x̄)²/(n − 1); s = √s²; CV = s/x̄ × 100
Z scorez = (x − μ)/σ
Standard error of a mean; of a proportionSD/√n; √(pq/n)
95% CI of a mean; of a proportionx̄ ± 1.96 SE (t × SE for small samples); p ± 1.96√(pq/n)
Sample size, proportion; meann = Z²pq/d²; n = Z²σ²/d²
Sample size per group, two proportions; two means(Zα/2 + Zβ)²(p₁q₁ + p₂q₂)/(p₁ − p₂)²; 2σ²(Zα/2 + Zβ)²/δ²
Finite population; non-response; design effectn/(1 + (n − 1)/N); n/(1 − non-response rate); DEFF = 1 + (m − 1)ρ
Sampling intervalk = N/n
Relative risk; odds ratio[a/(a + b)]/[c/(c + d)]; ad/bc
Sensitivity; specificity; PPV; NPVTP/(TP + FN); TN/(TN + FP); TP/(TP + FP); TN/(TN + FN)
t, one-sample; independent; paired(x̄ − μ₀)/(s/√n); (x̄₁ − x̄₂)/[Sp√(1/n₁ + 1/n₂)]; d̄/(sd/√n)
Chi-square; McNemarΣ(O − E)²/E, df = (r − 1)(c − 1); (b − c)²/(b + c), df = 1
Pearson r; regression slope and interceptΣ(x − x̄)(y − ȳ)/√[Σ(x − x̄)²Σ(y − ȳ)²]; b = Σ(x − x̄)(y − ȳ)/Σ(x − x̄)², a = ȳ − bx̄
Cohen’s kappa; Cronbach’s alpha; Spearman-Brown(Po − Pe)/(1 − Pe); [k/(k − 1)](1 − Σsi²/sT²); 2r/(1 + r)

Appendix C: Reporting guidelines and key dates

GuidelineStudy type
CONSORT (25 items in 2010; 30 in 2025)Randomised trials; checklist and flow diagram
SPIRITTrial protocols
STROBEObservational studies
PRISMA; PRISMA-ScRSystematic reviews; scoping reviews
STARDDiagnostic accuracy studies
COREQ; SRQRQualitative research

Key dates. Nuremberg Code 1947; Declaration of Helsinki 1964 (independent review added 1975); Belmont Report 1979; Nepal Medical Research Committee 1982; NHRC Act 1991; National Ethical Guidelines for Health Research in Nepal 2001, 2011, 2019 and 2022 (current).

Note on figures. Where source versions disagreed, the better-supported figure is used: CONSORT 25 (2010) and 30 (2025); assent ages 7 to under 12 (verbal) and 12 to under 18 (written); Journal of NHRC started in 2002 and indexed in PubMed since 2010; independent committee review entered the Helsinki Declaration in 1975; Belmont lists three principles.

Topic Index and Tags

Each topic below links to its section in the notes and carries tags. Use your browser’s find function (Ctrl+F or Cmd+F) or the site search with a tag such as #odds-ratio to locate every topic that matters for it.

Introduction of Research Methods

TopicTags
1.1 Concept and types of research#research-definition #kerlinger #kothari #basic-vs-applied #evaluation-research #action-research #scientific-method
1.2 Methods versus methodology#methods #methodology #how-vs-why
1.3 Research approaches#quantitative #qualitative #mixed-methods #deductive #inductive
1.4 Research paradigms#paradigm #ontology #epistemology #positivism #interpretivism #pragmatism #kuhn
1.5 Research process and criteria of good research#research-process #good-research #researcher-ethics #violations

Evolving Research Design

TopicTags
2.1 Elements and types of research design#research-design #design-elements #choosing-a-design #evolving-designs
2.2 Descriptive vs analytical#descriptive #analytical #case-report #case-series #ecological-study #ecological-fallacy
2.3 Observational vs experimental#observational #experimental #quasi-experimental
2.4 Prospective, retrospective, cross-sectional#prospective #retrospective #cross-sectional #cohort #prevalence
2.5 Case-control vs nested case-control#case-control #nested-case-control #odds-ratio #recall-bias
2.6 Conceptual vs empirical#conceptual #empirical
2.7 Descriptive and diagnostic design#diagnostic-research #descriptive-design
2.8 Exploratory design#exploratory #formulative #hypothesis-generation
2.9 Hypothesis-testing design#hypothesis-testing #null-hypothesis #alternative-hypothesis
2.10 Mixed-methods designs#convergent-parallel #explanatory-sequential #exploratory-sequential #embedded #triangulation
Supplement: bias and causation#chance #selection-bias #information-bias #confounding #bradford-hill #hierarchy-of-evidence

Randomized Controlled Trials

TopicTags
3.1 Concept, history and conduct#rct #gold-standard #parallel #crossover #factorial #cluster-trial #lind #streptomycin-1948
3.2 Arms, randomisation, blinding#trial-arms #placebo #randomisation #block #stratified-randomisation #allocation-concealment #blinding
3.3 CONSORT#consort #flow-diagram #reporting-guideline #spirit #strobe #prisma
3.4 Bias and its control#selection-bias #performance-bias #detection-bias #attrition-bias #reporting-bias #intention-to-treat #per-protocol
3.5 Ethics in RCTs#equipoise #consent #placebo-ethics #dsmb #trial-registration
Supplement: trial phases#phase-1 #phase-2 #phase-3 #phase-4

Research Questions and Literature Review

TopicTags
4.1 Topic, problem and focusing the question#research-topic #research-problem #brainstorming #pico #peco #spider #finer
4.2 Literature search and grey literature#literature-review #search-strategy #boolean #grey-literature #snowballing #primary-secondary-tertiary
4.3 Systematic, narrative, scoping reviews#systematic-review #narrative-review #scoping-review #prisma #prisma-scr
4.4 Databases#pubmed #scopus #nepjol #cochrane #google-scholar
4.5 Variables#independent-variable #dependent-variable #moderating #mediating #confounder
4.6 Research questions, aims, objectives#research-question #aim #objectives #smart #question-challenges
4.7 Assignment#search-table

Sampling Design

TopicTags
5.1 Unit, frame and methods#population #sampling-unit #sampling-frame #parameter #statistic
5.2 Criteria and types of sampling#simple-random #systematic #stratified #cluster-sampling #convenience #purposive #quota #snowball
5.3 Sample survey vs census#census #sample-survey #sampling-error #non-sampling-error
5.4 Probability vs non-probability#probability-sampling #non-probability-sampling
5.5 Sample size and power#sample-size #cochran #design-effect #non-response #power
5.6 Type I and Type II error#type-1-error #type-2-error #alpha #beta #parametric #non-parametric
5.7 Significance#statistical-significance #clinical-significance #social-significance #effect-size

Data Collection and Management

TopicTags
6.1 Types of data and sources#noir #nominal #ordinal #interval #ratio #primary-data #secondary-data #prompt #observation
6.2 Interviews and questionnaires#structured-interview #semi-structured #fgd #capi #questionnaire-design #recording
6.3 Data preparation#editing #coding #codebook #cleaning #tabulation #missing-values #outliers #imputation
6.4 Analysis and presentation#descriptive-statistics #inferential #choosing-a-test #anova #thematic-analysis #content-analysis
6.5 Interpretation#p-value #confidence-interval #relative-risk #odds-ratio #regression #framework-analysis #grounded-theory #trustworthiness
6.6 Communicating and displaying data#tables #graphs #quotations #reporting-results
6.7 SPSS and ATLAS.ti#spss #atlas-ti #workflow
Supplement: worked statistics#standard-error #z-test #t-test #chi-square #regression-example #worked-example

Ethical Aspects of Health Research

TopicTags
7.1 Ethics and profession#ethics #integrity #honesty #loyalty
7.2 History, codes and principles#tuskegee #nuremberg #helsinki #belmont #cioms #vulnerable-groups
7.3 Research problem and plagiarism#plagiarism #misconduct #nhrc-principles #fabrication #falsification
7.4 Collecting information#informed-consent #assent #incentives #sensitive-information #confidentiality
7.5 Writing and dissemination#authorship #icmje #salami-slicing #conflict-of-interest
7.6 NHRC#nhrc #nhrc-act-1991 #section-11 #erb #irc #jnhrc #ethical-guidelines

Writing Research Proposal and Report

TopicTags
8.1 Problem statement and hypotheses#problem-statement #rationale #hypothesis #proposal
8.2 Design, sampling, instrumentation#methodology-chapter #operational-definition #inclusion-exclusion
8.3 Tools and implementation#study-tools #pre-test #pilot-study #work-plan #budget #gantt
8.4 Validity and reliability#validity #reliability #cronbach-alpha #kappa #content-validity-index
8.5 Report outline#report-writing #imrad #abstract
8.6 Citation and bibliography#citation #vancouver #apa #reference-manager
8.7 Precautions in report writing#report-precautions #reporting-guidelines

Appendices

TopicTags
A. Master comparison table#comparison #revision
B. Formulae#formulae #sample-size-formula
C. Reporting guidelines and dates#consort #strobe #prisma #stard #key-dates
Health Care Evaluation

Review of Evaluation Concept

  • Concept and scope of evaluation
  • Steps and cycle of evaluation
  • Importance of program evaluation
  • Standards for evaluation in health care
  • Evaluation criteria and types of evaluation
  • Distinguishing principles of research and evaluation
  • Evolution of the monitoring and evaluation system in Nepal

Framework for Program Evaluation

  • Evolving a logical framework: setting goals, objectives and targets
  • Concept of program logic model and its application
  • Benefits of using the logic model tool
  • Five stages of logic model
  • Logical framework of Nepal health sector support program
  • WHO building blocks

Evaluation Methodologies

  • Types of evaluation: experimental, economic, pluralistic and programmatic approaches
  • Methodological approaches: mixed-methods, randomized control trial, control before and after study, interrupted time series design, before after study
  • Cost benefit and cost effectiveness analysis
  • Mapping of health facilities and health services
  • Standards for effective evaluation

Patient Satisfaction and Quality Audit

  • Patients’ expectations
  • Assessment of patient satisfaction
  • Exit interview
  • Clinical (medical) audit and review techniques
  • Social audit
  • Types of quality measures
  • Who develops quality measures?

Hospital Accreditation

  • Conceptual framework, instruments and tools
  • Hospital accreditation: objectives, approach and strategy
  • Hospital accreditation process
  • Standards: minimum, advanced and non-compulsory
  • Hospital accreditation survey and results
  • Criteria for national awards
  • Criteria to rank hospitals in Nepal

Evaluation Tools and Indicators

  • Indicators for equity
  • Indicators of efficiency and quality of care
  • Outcome of care
  • Indicators for evaluation of diagnostic and curative services
  • Medical, social audit and clients survey
  • Methodological challenges: attribution and measurement issues
  • Country and institutional level challenges for effective evaluations

Evaluation of Latest Five-Year Development Plan in Nepal

  • Review of the latest five-year plan, especially health sector indicators
  • Review of MDGs progress in Nepal
  • Review of SDG progress in Nepal
  • Policy monitoring and evaluation
  • Level and existing methods and systems of monitoring and evaluation in Nepal health program

Evaluation of Health Programs

  • Methods of evaluation and evaluation strategy
  • Evaluation of national health system
  • Evaluation of priority health programs in Nepal: communicable and non-communicable disease control; child health, family health
  • Evaluation by funding agencies and INGOs
  • Criteria used in evaluating a program (project) proposal
  • Criteria used in reviewing a program: final evaluations by USAID, DFID, The World Bank
  • Case studies/group presentations: five-year (health) plans, health programs, SDGs, hospital performance and quality, community health promotion
Strategic Health Care Management

Strategic Management Process

  • Concept and historical background
  • Foundations, nature and levels of strategy management; strategic vs common management; need and importance; dimensions
  • Strategy formation schools of thought, benefits in HSOs
  • Theory of strategy: core competency theory
  • Steps and components; Mintzberg’s five configurations
  • Long-term vs strategic planning; strategic planning process; role of planning, plans and planners in Mintzberg’s configurations

Situational Analysis

  • Need and goals of environmental analysis; issues in the health care environment; tools, techniques and process; components of the general and healthcare environment
  • External and internal environment of HSO; scanning, forecasting change; techniques with merits and demerits; competitive advantage
  • SWOT analysis, competitive analysis, force field analysis, healthcare model for force field analysis, gap analysis, structural and competitor analysis
  • Limitations of environmental analysis; linking strategy with situational analysis

Strategy Formulation

  • Vision, mission and objectives; components of mission statements
  • Values and culture
  • Steps in strategy formulation process
  • Strategies at corporate, business and functional/operational level
  • Developing strategic alternatives
  • Scope and role of strategy types
  • Strategic choice: market entry, postures, positioning and alternatives with merits and demerits
  • Characteristics of strategic decisions

Strategy Implementation Process

  • Meaning, steps and process; formulation vs implementation; key factors
  • Planning logic; value adding strategies; determining the health care customer; organizational culture as support strategy; matching culture and strategy; linking IS strategy to organizational strategy
  • Contingency view, managing change and Lewin’s force field analysis

Strategy Evaluation Process

  • Stage of the product life cycle; strategic choices by stage; portfolio analysis
  • Process of strategy evaluation: benchmark, measurement, variance analysis, corrective action
  • Evaluation methods: SWOT, TOWS, BCG matrix, Porter’s five forces, with merits and demerits

Strategic Management Practices in National Health Care Programs of Nepal

  • Strategies in long term health policy
  • Strategic planning in population control
  • National strategic plan for Stop TB strategy
  • National HIV/AIDS strategy
  • National adolescent health and development strategy
  • Vector borne disease control program
  • Human resources for health strategic plan
  • National strategy for disaster risk management

Strategic Management Practices in International Health Care

  • USAID’s global health strategic framework
  • DFID global health strategy
  • World Bank strategy for health, nutrition and population
  • Strategic approaches in health programs of a few developed and/or neighboring countries

Case Study and Presentation

  • AIDSCAP Nepal
  • Public hospitals in Nepal
  • National population control strategy
  • Vision 2020 strategy
  • National strategy for disaster risk management in Nepal
Epidemiology and Biostatistics

Review the Burden of Disease in Nepal

  • Communicable disease burden in Nepal
  • Global burden of emerging diseases
  • Epidemiological determinants, mode of transmission and common features
  • Prevention and control of SARS, bird flu, swine flu, Ebola, dengue fever, scrub typhus
  • Communicable disease control programs: vision, mission, goals, objectives, activities for malaria, kala-azar, lymphatic filariasis, dengue, TB, leprosy, HIV/AIDS
  • Other emerging diseases

Disease Surveillance

  • Definition, purpose, use, types of surveillance
  • Routine, sentinel and hospital surveillance; EWARS; public health surveillance
  • Sources and collection of surveillance data; systems based on secondary data
  • Analysis by time, place and person; interpretation; dissemination
  • Link to public health action; evaluation of a surveillance system

Field Epidemiology

  • Meaning, concept, objectives, scope and need
  • Risk assessment and measurement
  • Outbreak investigation
  • Rapid situation analysis of epidemics
  • Potential pitfalls in design and conduct of epidemiologic studies

Field Techniques in Epidemiology

  • Proposal and tools development
  • Ethics and ethical clearance
  • Methods of collecting epidemiological data; primary and secondary sources
  • Interpretation of information, including content analysis of interviews
  • Editing, analysis and presentation of data
  • Field observation and case study reports

Sampling Techniques

  • Introduction to biostatistics; descriptive and inferential data
  • Meaning and need of sampling; sampling techniques; probability and non-probability types
  • Standard error and its use in hypothesis testing
  • Estimation and estimator; criteria of a good estimator; point and interval estimates
  • Sample size determination

Hypothesis Testing (Parametric Test)

  • Hypothesis, types of error, level of significance, critical region, one- and two-tailed tests, parametric vs non-parametric, p-value approach
  • Power of the test
  • Single population proportion and two population proportions (large sample)
  • Independent and paired t-tests
  • ANOVA (one way and two way); post hoc analysis

Hypothesis Testing (Non-Parametric Test)

  • Chi-square test, odds ratio, relative risk, risk ratio, prevalence, incidence
  • Fisher’s exact test
  • McNemar’s test
  • Mann-Whitney U test
  • Kruskal-Wallis test
  • Wilcoxon matched pair signed rank test

Correlation and Regression

  • Correlation: Karl Pearson’s coefficient and its t-test
  • Simple linear regression: a and b, t-test of beta, ANOVA for linearity
  • R², regression diagnostics and residual analysis
  • Multiple linear regression: coefficients, t-test of beta, ANOVA
  • Concept of logistic regression
Health Care Marketing

Concept of Health Care Marketing

  • Health care market, consumer and marketing
  • Importance of marketing to healthcare organizations
  • Development of marketing concept in health care
  • Challenges in practicing marketing in healthcare
  • Marketing mix in healthcare

Health Care Marketing Information and Research

  • Marketing information system and its components
  • Marketing intelligence system
  • Marketing research system and its types
  • Market research process
  • Customer satisfaction survey

Healthcare Demand Analysis

  • Defining healthcare market for analysis
  • Market measurement and forecasting
  • Measuring current healthcare demand
  • Demand forecasting; factors affecting future demand; forecasting methods

Market Segmentation and Target Marketing

  • Concept and need of segmentation; requirements of segments
  • Bases for segmentation in healthcare markets
  • Steps in segmentation and targeting
  • Target marketing and target marketing strategies

Consumer Analysis

  • Concept of consumer analysis
  • Consumer buying process
  • Consumer adoption process

Marketing Mix Decisions

  • Healthcare product; nature and characteristics of services; new services development
  • Service mix decisions: service item and service life cycle
  • Pricing: concept, objectives, strategies, emerging trends
  • Distribution channels and major distribution decisions
  • Referrals and strengthening referral systems
  • Promotion mix, sales force and sales promotion practices

Social Marketing

  • Concept of social marketing and in healthcare; means, approaches and steps
  • Types of social change: cognitive, action, behavior and value
  • Donor marketing: concept, fundraising methods, steps

Public Relations in Health Care

  • Introduction and evolution of public relations
  • Public relation process
  • Public relations tools in healthcare
  • Case study: marketing management, public relation and referral marketing practices in hospitals in Nepal
Leadership and Good Governance

Review of Leadership

  • Concept, style, skills and role of leaders
  • Leadership and management in healthcare
  • Leadership roles in health care
  • Importance of leadership in HSOs
  • Emerging researches on leadership in healthcare

Review of Leadership Theories

  • “Great Man” theory; trait theory
  • Contingency and situational theories
  • Behavioral and participative theories
  • Transactional/management theory; transformational or charismatic leadership
  • Path-goal theory; recent challenges to leadership theories
  • Case study: application of best leadership theories in Nepalese health care management

Strategic Leadership Roles in Health Care

  • Leadership and policy development
  • Leadership and people development
  • Leadership and decision making
  • Leadership and change
  • Communication and conflict resolution skills
  • Leadership practice in Nepal; case study/group discussion on leadership of Nepalese HCOs

Review of Good Governance

  • Concepts and principles; framework and role with stakeholders
  • Indicators for measuring health system governance; sources of information
  • Principles: stewardship, transparency, participation, fairness, accountability, rule of law
  • Case study: issues and challenges of good governance in health care

Tools for Good Governance Programming

  • Planning and design tools: relationship mapping, assessing community/government relations and capacity for community mobilization, capacity indices, gap analysis, goods and services assessment
  • Implementation and monitoring tools
  • Information technology and its role for good governance

Ethical Practice Good Governance in Health Care Services

  • Ethical concepts, justice/fairness, patient and provider rights and responsibilities, malpractice
  • Unethical practices: bribes, inducements, kickbacks, gifts, theft
  • Fraud and abuse; management responsibility for compliance
  • Impact of unethical practice on health and hospital services
  • Core values of ethics, justice, truth and trusteeship
  • Leadership, social responsibility and an ethical organizational culture

Global Health Governance

  • Concept and essential elements; criteria for assessing good governance; schematic
  • Universal health coverage
  • Global governance and social determinants of health
  • Health governance and globalization; growth and emerging system
  • Governance and corruption in health care delivery

Good Governance in Health Care Services

  • Quality assurance and medical audit: principles, scope, prerequisites, audit cycle and types
  • Social audit, public audit and public hearing: principles, landmarks in Nepal, process, reasons, challenges
  • Public hearing process and its application in health services
  • Case studies: social audit practices; transparency and accountability on hospital services in Nepal

Rural Development

Development, economy, community and planning

Rural Development Concepts and Dimensions

1.1 Concept of Rural Area

A rural area is a region with low population density, limited industrialization and heavy dependence on agriculture and other primary activities such as farming, livestock, forestry and fishing.

Characteristics:

  • Low population density and dispersed settlement
  • Dominance of agriculture and the primary sector
  • Limited physical and social infrastructure
  • Stronger traditional social structure and community bonding
  • Greater dependence on natural resources
  • Lower income, education and health indicators than urban areas
  • Slower pace of social and technological change

In Nepal, rural areas still cover most of the country’s land and are home to a significant share of the population, though urbanization is accelerating.

1.2 Concept of Rural Development

Rural development is a comprehensive, multi-dimensional process of improving the economic, social, cultural and environmental well-being of rural people in a sustainable and inclusive manner.

  • Planned and sustained efforts to improve the living standards of the rural population
  • A strategy to improve the economic and social life of the rural poor
  • A process of enabling rural people to control their own development by enhancing capabilities and expanding opportunities

1.3 Scope of Rural Development

Economic: agricultural productivity, non-farm enterprises, employment, access to markets and finance, poverty reduction.

Social: education, health, nutrition, sanitation, gender equality and inclusion, empowerment of women, Dalits, Janajatis and persons with disability.

Infrastructural: rural roads, electrification and renewable energy, drinking water, communication, housing.

Agricultural and natural resources: sustainable agriculture, irrigation, community forestry, climate adaptation, disaster risk reduction.

Institutional and governance: strengthening local government, participatory planning, capacity building, service delivery.

Environmental: sustainable resource use, conservation, climate resilience, green and low-carbon development.

1.4 Causes of Rural Backwardness

  • Limited access to quality education and skills
  • Inadequate infrastructure
  • Over-dependence on low-productivity traditional agriculture
  • Unemployment and underemployment
  • Poor access to healthcare
  • Land fragmentation and unequal land distribution
  • Limited access to credit and financial services
  • Discrimination by caste, ethnicity and gender
  • Weak market linkages and high transaction costs
  • Environmental degradation and climate vulnerability
  • Weak local governance and policy implementation
  • Out-migration of youth and skilled people
  • Traditional norms that resist change

1.5 Need for Rural Development

  • A large share of the population still lives in rural areas
  • Poverty is predominantly rural
  • Agriculture is vital for national food security
  • Balanced regional development reduces spatial inequality
  • Excessive rural-to-urban migration strains urban infrastructure
  • Rural areas hold natural and cultural resources needing sustainable management
  • National goals and the SDGs cannot be met without transforming rural areas
  • Social justice and inclusion require a special focus on rural people

1.6 Historical Evolution in Nepal

Pre-1951 (Rana period): very limited development; feudal tenure (Birta, Jagir, Raikar); development mainly for the ruling class.

1951–1970: planned development begins; development institutions; land reform; focus on basic infrastructure and agriculture.

1970s–1980s: Integrated Rural Development Projects; multi-sectoral emphasis; Village Development Committees.

1990s: decentralization and local self-governance; community forestry and participatory approaches; growing role of NGOs.

2000s: poverty alleviation as the central agenda; rural roads, electricity and water; livelihood programmes.

Post-2015 (federal era): stronger local governments; local economic development, climate resilience, rural tourism, digital inclusion.

1.7 Major Approaches

Rural reconstruction: rebuilding rural areas affected by underdevelopment, conflict or disaster.

Community development: bottom-up process of identifying problems and mobilizing resources.

Sectoral development: focus on one sector such as agriculture, health or infrastructure.

Area development: concentrated effort in a specific area (e.g. IRDPs).

Target group approach: programmes for small farmers, landless, women, Dalits.

Integrated rural development: coordinated multi-sectoral approach.

Sustainable development: meeting present needs without compromising future generations.

Participatory development: local involvement in planning, implementation, monitoring and evaluation.

Population and Poverty

Population issues: high pressure on limited agricultural land, high dependency ratio, youth out-migration and a changing demographic structure.

Poverty: rural poverty is multi-dimensional, covering income poverty, lack of education, health and sanitation, and vulnerability to shocks. Measurement tools include the national poverty line and the Multidimensional Poverty Index (MPI).

Education and Health in Rural Areas

Education: low enrolment in higher grades, high dropout, poor learning outcomes, gender disparity, shortage of qualified teachers in remote areas.

Health: limited access to quality services, higher maternal and child mortality in remote areas, malnutrition, and a rising burden of non-communicable diseases.

Rural Housing

Access to improved water and sanitation has risen significantly, but quality and functionality remain issues in many rural areas. Housing is still inadequate for a large section of the rural poor.

Development Theories and Planning

Growth and Development

BasisEconomic GrowthEconomic Development
MeaningIncrease in national outputGrowth plus structural and qualitative change
NatureQuantitativeQuantitative and qualitative
Time horizonShort-termLong-term
MeasurementGDP, GNP, per capita incomeHDI, PQLI, inequality measures, happiness indices
ScopeNarrowBroad
PossibilityPossible without developmentNot possible without growth

Objectives of development: raising living standards; reducing poverty and inequality; expanding human choices and capabilities; structural transformation; environmental sustainability; social justice.

Problems of developing economies:

  • Low per capita income and widespread poverty
  • Dualistic economic structure
  • Low capital formation
  • Technological backwardness
  • High population growth and dependency
  • Unemployment and disguised unemployment
  • Heavy dependence on agriculture
  • Weak institutional and infrastructural base
  • Vulnerability to external shocks

Development Theories

Schultz – transformation of traditional agriculture: traditional agriculture is poor but efficient; farmers allocate resources rationally. Transformation needs investment in human capital, agricultural research and affordable modern inputs.

Lewis – unlimited supply of labour: surplus labour in the subsistence sector moves to the modern sector at a constant wage until the surplus is exhausted.

Balanced vs unbalanced growth: Rosenstein-Rodan and Nurkse favour simultaneous investment in many industries to create mutual demand; Hirschman favours deliberate imbalance through leading sectors with strong linkages.

Modernization theory: development as a linear move from traditional to modern society.

Dependency theory: underdevelopment results from the exploitative relationship between the core and the periphery.

Human development approach: popularized by UNDP and Amartya Sen; expands people’s capabilities and freedoms rather than only income.

Development Planning

Concept and characteristics; planning in capitalist, socialist and mixed economies; types of planning; growth pole and growth centre; capital-output ratio; planning in SAARC countries and Nepal.

Rural Project Development and Management

Project planning; project cycle; screening; implementation, monitoring and evaluation of rural development projects.

Economics for Rural Development

Expanded outline: demand, supply and market equilibrium; production theory and function; the law of variable proportions and its three stages; cost concepts and cost minimization; capital formation in rural areas; the vicious circle of poverty and ways to break it; Mellor, Lewis and Ranis-Fei models; food security in Nepal; impact of economic liberalization on the rural economy.

Introduction to Economics

Demand, supply and price determination; welfare economics; scope of rural economics; production theory; Cobb-Douglas production function; linear programming.

Law of Variable Proportions

Concept, assumptions and applicability in agriculture; farm management; risk and uncertainty; crop and cattle insurance; minimum support prices.

Capital Formation

Meaning, process and conditions; vicious and virtuous cycles; capital formation in agriculture; Rostow, Mellor, Lewis and Ranis-Fei models with critiques.

Food Security

Concept and dimensions; food, input and marketing subsidies; liberalization, privatization, globalization and their impact on agriculture and rural development.

Rural-Urban Interrelation

Knowledge on contemporary issues, models, techniques, problems, prospects, policies and strategies of rural-urban integration.

Expanded outline: rural-urban linkage and interdependency; economic, social, spatial and political linkages; dispersed and agglomerated settlements; continuum vs dichotomy; theories of urban origin and growth; Central Place Theory (Christaller); growth pole and growth centre theory; migration theories including the Todaro model; strategies for strengthening positive linkages.

Basic Concepts and Issues in Rural-Urban Relations

Urban and rural settings; hinterland linkages; dispersed and agglomerated settlements; dichotomy, continuum and hierarchy.

Changing Rural-Urban Relationship

Theories of evolution of early towns; changing town-country relationship; change in rural-urban relation in Nepal.

Rural-Urban Interrelation Typology

Types of rural-urban linkages; constraints in developing countries.

Theoretical Models

Central place theory (Christaller, Lösch); gateway model; Von Thünen; core-periphery; growth pole/centre; Todaro migration model.

Techniques and Measures

Growth centre identification; scalogram; infrastructure index; centrality; hinterland measures; spatial interaction, flow model, facility location and accessibility.

Rural-Urban Transfer Mechanisms

Spatial transformation model; spatial diffusion of innovation (Hägerstrand); micro-enterprises; informal sector and local resource use.

Integration Approach to Rural Development

Integrated rural-urban linkage planning; problems and prospects; public-private partnership; public institutions and strategies.

Statistical Methods for Social Science Research

One of the most important methodological courses in the programme, giving the statistical tools for research, data analysis and evidence-based decisions in rural development.

1.1 Meaning and Importance

Measures of central tendency identify the central or typical value of a dataset. They describe a population or sample, compare groups, show average conditions (income, landholding, years of schooling) and support policy decisions.

1.2 Arithmetic Mean

Sum of all observations divided by their number: x̄ = Σxᵢ / n.

Merits: easy to calculate, uses all data, algebraically treatable.

Demerits: affected by extreme values; unsuitable for highly skewed data.

Application: average household income, landholding size, productivity, years of education.

1.3 Median

The middle value when data are ordered: the middle observation for odd n, the average of the two middle values for even n.

Merits: not affected by extremes; suits skewed data and open-ended classes.

Demerits: ignores most data points; less suited to further mathematical treatment.

Application: income and land distribution in rural areas.

1.4 Mode

The most frequent value. It may be unimodal, bimodal or multimodal.

Merits: easy to understand; usable with nominal data; unaffected by extremes.

Demerits: may not exist or may be multiple; not suited to further analysis.

Application: most common occupation, preferred crop or family size.

1.5 Standard Deviation

Average variation of data points from the mean: s = √[Σ(xᵢ − x̄)² / (n − 1)]. A small SD means data cluster near the mean; a large SD means wide spread. It is the most reliable measure of dispersion and is essential for further tests.

Measurement of Inequality

Why it matters: growth alone does not guarantee poverty reduction, so inequality in income, land, education and opportunity must be measured.

Lorenz curve: plots cumulative share of population against cumulative share of income or wealth. The 45-degree line is perfect equality; the larger the gap from it, the greater the inequality.

Gini coefficient: derived from the Lorenz curve, from 0 (perfect equality) to 1 (perfect inequality). Widely used for income and land inequality in rural Nepal.

Probability and Probability Distribution

Probability measures the likelihood of an event from 0 (impossible) to 1 (certain). Key laws: addition law, multiplication law, conditional probability and Bayes’ theorem.

Random variable: discrete (countable, e.g. number of livestock) or continuous (e.g. income, land size).

Binomial distribution: fixed number of independent trials, two outcomes, constant probability of success.

Normal distribution: bell-shaped and symmetric, defined by mean and standard deviation; many tests assume normality.

Central limit theorem: the sampling distribution of the mean approaches normal as sample size grows, whatever the population’s shape.

Sampling Theory

Meaning: selecting a representative subset to draw conclusions about a population, since studying everyone is often impractical, slow and costly.

Terms: population, sample, parameter (of a population), statistic (of a sample).

Probability sampling: simple random, stratified, systematic, cluster, multi-stage.

Non-probability sampling: purposive, convenience, quota, snowball.

Errors: sampling error arises from chance variation in selection; non-sampling error from data collection, measurement, non-response and processing.

Standard error: the precision of a sample statistic; smaller means more precise.

Correlation and Regression Analysis

Correlation measures the strength and direction of a linear relationship. Pearson’s r is for continuous data; Spearman’s rank correlation for ordinal data or non-linear relationships. r runs from −1 to +1.

Regression examines the relationship between a dependent variable and one or more independent variables. Simple linear: Y = a + bX. Multiple regression uses two or more predictors. R² is the share of variation explained.

ANOVA tests the overall significance of a regression model. Dummy variables (0 and 1) bring categorical variables into regression.

Estimation and Hypothesis Testing

Estimation: point estimation gives a single value; interval estimation gives a confidence interval.

Hypothesis testing steps:

  1. State the null (H₀) and alternative (H₁) hypotheses
  2. Choose the level of significance (α)
  3. Select the test statistic
  4. Compute it from sample data
  5. Decide: reject or fail to reject H₀

Common tests: Z-test, t-test, F-test, Chi-square test.

Sustainable Rural Development

Sustainable development meets present needs without compromising future generations (Brundtland Commission, 1987). Its three pillars are economic, social and environmental sustainability.

Major themes: global environmental issues and rural areas; the poverty–environment relationship; climate change and livelihoods; sustainable agriculture; renewable energy and biomass; biodiversity conservation; ecological zones of Nepal; community-based resource management; role of GOs, NGOs, INGOs and CBOs; challenges and prospects in Nepal.

Introduction to Sustainable Development

Concepts and foundations of sustainable development.

Key Indicators and Trends

Indicators and trends of sustainable development.

Global Environmental Issues and Poverty

Disaster and sustainable development; poverty and sustainability; biomass-based energy; green revolution and environmental degradation.

Nepal’s Ecology and Resources

Ecological zones; forest resources; human settlement; land and water resources; biodiversity; intellectual property rights.

Problems and Prospects in Rural Nepal

Sustainability of development in rural Nepal; capacity building; capital mobilization; conservation of local resources; role of GOs, NGOs, INGOs and CBOs.

Rural Development Policies and Strategies

Evolution of rural development policies in Nepal, national plans, agricultural policies, decentralization policies, poverty alleviation strategies, and current policy frameworks under federalism.

Governance and Rural Development

Concept of governance and good governance, its principles, the local governance system in Nepal, federalism and rural development, and challenges of local governance.

Economics of Infrastructure

Concept and types of infrastructure, its role in rural development, the status of rural infrastructure in Nepal, financing mechanisms, and the impact of infrastructure on poverty and growth.

Social Science Research Methodology

The foundation for conducting rigorous research in rural development.

Introduction to Social Science Research

Meaning: systematic, scientific study of human society, relationships, behaviour and institutions.

Objectives: describe, explain, predict, influence social processes and deepen understanding of behaviour.

Nature: empirical, theoretical, cumulative, interdisciplinary, dynamic.

Types: basic, applied, exploratory, descriptive, explanatory, evaluative.

Need in rural development: identify real problems; design effective policies; evaluate interventions; promote evidence-based decisions; empower communities through participatory research.

Steps:

  1. Formulate the research problem
  2. Review literature
  3. Set objectives and hypotheses
  4. Research design
  5. Sampling
  6. Data collection
  7. Processing and analysis
  8. Interpretation and report writing
  9. Dissemination of findings

Concepts in Social Science Research

Concepts: abstract ideas representing social phenomena (poverty, empowerment, social capital).

Variables: independent (cause), dependent (effect), and control, intervening or moderating variables.

Operationalization: converting abstract concepts into measurable indicators.

Levels of measurement: nominal, ordinal, interval, ratio.

Reliability: consistency of an instrument (test-retest, inter-rater, Cronbach’s alpha).

Validity: measuring what is intended (content, construct, criterion).

Correlation vs causality: correlation shows association; causality needs temporal order, covariation and elimination of alternative explanations.

Approaches: inductive (observation → pattern → theory, qualitative); deductive (theory → hypothesis → observation, quantitative).

Research Design

Meaning: the overall plan or blueprint that guides the research process.

Types: exploratory, descriptive, explanatory/causal, experimental, ex-post facto, action research, survey, case study, historical, field, evaluation.

Time dimension: cross-sectional; longitudinal or time-series.

Framework and Steps for Research Proposal

Components: title; introduction and background; statement of the problem; rationale; objectives; research questions or hypotheses; literature review; conceptual or theoretical framework; methodology (design, sampling, tools, analysis); limitations; references; work plan and budget.

Data Collection Method

Methods in rural development research: household survey (questionnaire or schedule), key informant interview, focus group discussion, participant observation, PRA tools, case study, secondary data.

Data Processing and Analysis

Editing, coding and data entry; univariate, bivariate and multivariate analysis; qualitative analysis (thematic and content analysis).

Preparation of Research Report

A good report is clear, logical, objective and well structured: preliminary pages, main body and supplementary pages.

Rural Technology and Skill Development

Also covered: skill development and vocational training for rural youth.

Technology and Its Importance

Technology is the systematic application of scientific knowledge for practical purposes.

Appropriate technology suits local environmental, cultural, economic and social conditions: low cost, simple to use and maintain, uses local materials and skills, environmentally friendly, culturally acceptable, employment generating.

Role in rural transformation: raises productivity, improves quality of life, creates local employment, reduces drudgery (especially for women), promotes self-reliance, supports sustainability.

Technology transfer needs assessment, adaptation, training and continuous support.

Role of Energy in Development

Energy is a critical input for development and correlates strongly with HDI.

Energy in Nepal: heavy dependence on traditional biomass (firewood, dung, residues); large but underused hydropower; growing solar and renewables; challenges of access, reliability and affordability in rural areas.

Energy for Rural Development

Renewable technologies for rural areas: solar (home systems, cookers, dryers, water pumps), micro and pico hydropower, improved water mills, biogas, improved cook stoves, wind and geothermal (limited potential).

Policy: Nepal promotes these through subsidies, soft loans and technical support, mainly via the Alternative Energy Promotion Centre (AEPC).

Farm Technology

Rainwater harvesting; low-cost drip and sprinkler irrigation; fog-water collection; compost; improved agricultural tools.

Rural Transportation

Rural green roads; gravity ropeways; waterways.

Biomass-based Energy in Nepal

Solid, liquid and gaseous fuels; improved cooking stoves; biogas plants.

Traditional Technologies and Crafts

Indigenous technologies: metals, construction materials, weaving, dyeing, paper, fermentation, oils, fishing devices, soap-making, low-cost housing and toilets.

Rural Marketing and Entrepreneurship Development

Key themes: characteristics of rural markets; rural vs urban marketing; marketing mix (product, price, place, promotion, people); agricultural marketing and its problems in Nepal; entrepreneurship and types of enterprises; women entrepreneurship; the entrepreneurial process and business plan; legal and institutional support.

Rural Market and Rural Marketing

Characteristics of rural markets; rural vs urban marketing; marketing mix.

Agricultural Marketing and Economic Development

Structure and status of agricultural marketing in Nepal.

Rural Consumers

Buying behaviour; profile of Nepalese consumers; cottage and small industries.

Rural Marketing Strategies

Segmentation; product, place, price and promotion; branding, grading, labelling, packaging.

Rural Entrepreneurship

Types of entrepreneurship; role in rural development; women entrepreneurship; enabling factors; risks.

Legal Environment for Entrepreneurship

Establishing a new venture; IPR; licensing; insurance, liability and contracts.

Venture Identification and Business Plan

Business opportunities; idea evaluation; SWOT, benefit-cost and profit-loss analysis; business plan.

Rural Tourism

Key themes: concept, nature and forms of rural tourism; positive and negative impacts; planning and management; marketing and value chain; ecotourism principles; Nepali models (Sirubari, Ghalegaun, Bandipur, homestays, TRPAP, ACAP).

Introduction to Rural Tourism

Nature, components and scope; typology of tourists; evolution; impacts; global code of ethics.

Planning and Management of Rural Tourism

Levels of planning; stakeholders; tourism policies in Nepal; SWOT; diversification.

Tourism Marketing

Segmentation, targeting, positioning; marketing mix; enterprise development; value chain analysis.

Ecotourism for Rural Development

Principles; advantages for communities; issues and challenges; sustainability tools.

Tourism and Rural Development in Nepal

Protected areas and heritage sites; ACAP; Bandipur, Sirubari, Ghalegaun; pro-poor tourism (TRPAP).

Highland Ecosystems Dynamics and Development

Key themes: concept and components of ecosystems; characteristics of highland ecosystems; ecological zones of Nepal; highland problems (fragility, isolation, limited livelihoods, out-migration); sustainable management; agricultural terracing and community-based management.

Fundamental Aspects of Ecosystem

Concept, levels, types, components and models.

Factors Affecting Ecosystems

Biological and abiotic factors; climate, water, disasters and resource degradation.

Benefits from Ecosystems

Goods and services: food, health, business, tourism, recreation.

Highland Ecosystems

Features, niche, potentials, constraints and instabilities.

Dynamics and Development in Nepal

Landscape and resource change; migration; management and enrichment; agricultural terracing.

Rural Community Development

Understanding the Basic Concepts

Community and community development; group dynamics; values, principles, strategies; social inclusion and mobilization; civil society.

Community Development Theories

Psycho-sociological theory; socio-democratic theory (A. Gramsci).

Trends in Community Development

State-led, market-led and NGO-led strategies; people-centred approaches; state policies in Nepal.

Historical Accounts of CD and CBOs in Nepal

History from pre-unification to post-2046 BS; Khedi, Parma, Bhajaita, Dhikuri, Guthi, Nogar, Rodi, Bheja.

Analysis and Appraisal of CBOs in Nepal

SFDP, community forestry, PCRW, Grameen Bikas Bank, farmer-managed irrigation, community schools and health programmes.

People’s Participation and Participatory Development

Role of participation and communication; problems and challenges; case studies.

Rural Community and Development — theories, trends and community-based organisations

Rural Development · 2025 · Original on blog ↗

Understanding the Basic Concepts

Concept and definitions of community and community development; group dynamics; values and principles of community development; processes, strategies and techniques of community development; social inclusion and social mobilization; civil society and community development.

1. Concept and Definitions of Community and Community Development

Community:

  • Definition: A community is a group of individuals who share common interests, goals, or geographical locations. This group often has a sense of belonging and mutual responsibility. Communities can be defined by various characteristics, including geographic location (e.g., a village or town) or shared interests (e.g., a community of practice).

Community Development:

  • Definition: Community development is a process by which community members come together to take collective action and generate solutions to common problems. It involves improving the well-being of the community by enhancing social, economic, and environmental conditions. It often focuses on building local capacities and fostering sustainable growth.

2. Group Dynamics

  • Definition: Group dynamics refers to the study of groups and how they function. It includes the behaviors, interactions, and processes that occur within a group. Understanding group dynamics is essential in community development as it helps to facilitate effective teamwork, resolve conflicts, and harness collective efforts.
  • Key Elements:
    • Roles and Norms: Understanding the roles individuals play within a group and the norms or rules that guide behavior.
    • Group Cohesion: The degree to which group members are united and work together.
    • Leadership: The influence of leaders in guiding and motivating the group.
    • Conflict Resolution: Strategies for addressing and resolving disagreements within the group.

3. Values and Principles of Community Development

  • Values:
    • Participation: Encouraging active involvement of community members in decision-making and action.
    • Empowerment: Strengthening the capacity of individuals and communities to make choices and transform their lives.
    • Equity: Ensuring fair access to resources and opportunities for all members of the community.
  • Principles:
    • Inclusivity: Engaging all segments of the community, including marginalized or disadvantaged groups.
    • Sustainability: Focusing on long-term outcomes and ensuring that development efforts are environmentally, socially, and economically sustainable.
    • Collaboration: Working together with various stakeholders, including local government, NGOs, and private sector entities.

4. Processes, Strategies, and Techniques of Community Development

  • Processes:
    • Assessment: Identifying community needs, resources, and existing challenges.
    • Planning: Developing strategies and action plans to address identified needs.
    • Implementation: Executing the planned actions and strategies.
    • Evaluation: Measuring the outcomes and impact of development efforts.
  • Strategies:
    • Capacity Building: Training and empowering local individuals and organizations.
    • Partnerships: Collaborating with other organizations and stakeholders to leverage resources and expertise.
    • Advocacy: Promoting policies and practices that support community development goals.
  • Techniques:
    • Participatory Rural Appraisal (PRA): A set of participatory techniques used to gather information from community members.
    • Asset-Based Community Development (ABCD): Focusing on the strengths and resources of the community rather than just its needs.
    • Community Mapping: Identifying and visually representing community assets, resources, and challenges.

5. Social Inclusion and Social Mobilization

  • Social Inclusion:
    • Definition: Ensuring that all individuals and groups, especially those who are marginalized or disadvantaged, have equal opportunities and are actively involved in community life.
    • Importance: Promotes equity and ensures that the benefits of community development are shared by all members.
  • Social Mobilization:
    • Definition: The process of organizing and motivating community members to take collective action towards common goals.
    • Techniques: Public awareness campaigns, community meetings, and grassroots organizing.

6. Civil Society and Community Development

  • Civil Society:
    • Definition: The collective of non-governmental organizations, community groups, and institutions that operate independently from the government and business sectors.
    • Role in Community Development: Civil society organizations often play a crucial role in advocating for community needs, providing services, and fostering civic engagement.
  • Impact: Civil society groups can help bridge gaps between government initiatives and community needs, provide a platform for community voices, and drive grassroots change.

In summary, understanding these concepts and their interplay helps in effectively planning and executing community development initiatives, ensuring they are inclusive, sustainable, and responsive to the needs of the rural population.


Community Development Theories

Psycho-sociological theory of community development; socio-democratic theory of community development (A. Gramsci).

1. Psycho-Sociological Theory of Community Development

Overview: The Psycho-Sociological Theory of Community Development focuses on the interplay between psychological and social factors in the development of communities. It recognizes that a community is not merely a collection of individuals but a complex web of relationships, shared values, norms, and social structures that significantly influence individual well-being and collective action.This theory emphasizes the role of individual and collective psychological processes in shaping community dynamics and development.

Key Components:

  • Individual Psychology:
    • Motivation: Understanding how individual motivations, needs, and aspirations influence community participation and development.
    • Identity: How individual and group identities affect social cohesion and collective action.
  • Social Psychology:
    • Group Behavior: Examining how social norms, group dynamics, and interpersonal relationships impact community development.
    • Socialization: How individuals learn and adopt values, norms, and behaviors that contribute to community development.
  • Community Dynamics:
    • Collective Efficacy: The shared belief in the community’s ability to achieve common goals.
    • Social Capital: The value derived from social networks, relationships, and trust within the community.

Application:

  • Interventions: Designing community development programs that address both psychological and social needs.
  • Engagement: Creating strategies that foster individual and collective motivation and participation.
  • Support Systems: Developing support mechanisms that enhance social cohesion and collective efficacy.

2. Socio-Democratic Theory of Community Development (Antonio Gramsci)

Overview: Antonio Gramsci's Socio-Democratic Theory of Community Development is rooted in his broader theoretical framework, which includes concepts like hegemony, cultural leadership, and the role of civil society in social change.

Key Concepts:

  • Hegemony:
    • Definition: Gramsci’s concept of hegemony refers to the dominance of one social group over others, achieved not only through political and economic power but also through cultural and ideological means.
    • Application: In community development, understanding how dominant groups may influence or control development agendas and how marginalized groups can challenge and change these dynamics.
  • Cultural Leadership:Definition: Gramsci believed that societal change is driven by the ability of groups to lead through cultural and ideological means, shaping values, beliefs, and practices.
    • Application: Community development involves fostering cultural leadership among local groups to drive change and empower communities.
  • Civil Society:
    • Definition: Gramsci emphasized the role of civil society (e.g., NGOs, community organizations) in shaping public opinion and challenging dominant power structures.
    • Application: Strengthening civil society organizations to advocate for community needs and build alternative power structures.
  • Organic Intellectuals: Definition: Gramsci introduced the concept of “organic intellectuals” – individuals who emerge from within a community and help articulate its struggles and aspirations.
    • Application: Identifying and supporting local leaders and activists who can drive community development from within.
  • War of Position: Gramsci suggested that challenging dominant power requires a long-term "war of position" within civil society. This involves a gradual process of building counter-hegemony by challenging dominant ideologies and creating alternative ways of thinking and understanding the world. In community development, this could involve raising awareness about inequalities, promoting critical thinking, and fostering alternative visions for the community's future.
  • Historical Bloc: This concept refers to the alliance of social forces that underpin a particular hegemony. For community development to bring about significant change, it might require the formation of a new "historical bloc" that unites diverse groups around a shared vision for a more equitable and just community.
  • Subaltern Groups: Gramsci paid particular attention to the experiences and perspectives of subaltern (oppressed or marginalized) groups. A socio-democratic approach informed by Gramsci would prioritize the voices and needs of these groups in community development processes, aiming to challenge the hegemony that perpetuates their marginalization.  

Relevance to Socio-Democratic Ideals: Gramsci's emphasis on challenging power imbalances, fostering critical consciousness, and empowering marginalized groups aligns with core socio-democratic values of social justice, equality, and participation. A socio-democratic approach to community development, drawing on Gramsci's insights, would likely focus on:

  • Empowering marginalized communities: Ensuring their active participation in decision-making processes and challenging the hegemonic forces that silence their voices.  
  • Promoting critical consciousness: Helping community members understand the social, economic, and political structures that shape their lives and the dominant ideologies that may obscure inequalities.
  • Building alliances: Fostering solidarity and collaboration among different groups within the community to create a counter-hegemonic force for change.
  • Transforming institutions: Working to democratize community organizations and other institutions within civil society to make them more responsive to the needs of all community members.
  • Long-term perspective: Recognizing that meaningful community development often requires a sustained and patient effort to challenge deeply entrenched power structures and ideologies.

In essence, while not a direct theory of community development, Gramsci's work provides a powerful framework for analyzing power dynamics, understanding how consent is manufactured, and developing strategies for transformative community change rooted in principles of social justice and democratic participation.

Application:

  • Empowerment: Encouraging communities to develop their own cultural and ideological frameworks to challenge dominant power structures.
  • Advocacy: Supporting civil society groups to advocate for policy changes and social justice.
  • Capacity Building: Developing local leadership and intellectuals who can articulate and address community needs.

Summary:

  • Psycho-Sociological Theory: Focuses on the psychological and social factors influencing community development, emphasizing the role of individual and group dynamics.
  • Socio-Democratic Theory (Gramsci): Highlights the importance of cultural and ideological leadership, the role of civil society, and the concept of hegemony in shaping community development.

Understanding these theories provides valuable insights into how community development can be approached from different angles, addressing both psychological and socio-political dimensions to foster sustainable and equitable development.


Trends in Community Development

State-led development strategy; market-led development strategy; NGO-led development strategy; people-centered development approaches; development as community transformation; state policies in community development with special focus on recent policies in Nepal.

1. State-Led Development Strategy

Definition: State-led development refers to an approach where the government takes a central role in planning, implementing, and overseeing development initiatives. This strategy often involves top-down decision-making where policies and programs are designed and executed by government institutions.

Characteristics:

  • Centralized Planning: Development plans are created at the national or regional level and implemented across various sectors.
  • Government Funding: Projects are primarily financed by government budgets and resources.
  • Regulation and Control: The state enforces regulations and standards to ensure development goals are met.

Examples:

  • Infrastructure Projects: Large-scale infrastructure projects like roads, bridges, and public buildings.
  • Social Services: Provision of public health services, education, and welfare programs.
  • Economic Policies: Initiatives to boost economic growth through industrialization, subsidies, and trade policies.

Pros:

  • Coordinated Efforts: Ensures uniformity and coordination in development efforts.
  • Resource Mobilization: Can mobilize substantial financial and human resources.
  • Policy Implementation: Facilitates the implementation of comprehensive national policies.

Cons:

  • Top-Down Approach: May not fully address local needs or priorities.
  • Bureaucracy: Can be slow and inefficient due to bureaucratic hurdles.
  • Limited Participation: Often lacks active community involvement and input.

2. Market-Led Development Strategy

Definition: Market-led development focuses on leveraging market mechanisms, private sector investment, and entrepreneurial activities to drive economic growth and development. This strategy emphasizes the role of the market in allocating resources and promoting innovation.

Characteristics:

  • Private Sector Involvement: Encourages private businesses and investors to participate in development activities.
  • Economic Incentives: Uses market incentives, such as subsidies, tax breaks, and deregulation, to stimulate investment and growth.
  • Demand-Driven: Development initiatives are often driven by market demand and consumer preferences.

Examples:

  • Public-Private Partnerships (PPPs): Collaborations between government and private companies to deliver public services and infrastructure.
  • Economic Zones: Establishing special economic zones or industrial parks to attract investment and create jobs.
  • Microfinance: Providing financial services to small entrepreneurs and businesses to stimulate local economic activity.

Pros:

  • Efficiency: Market mechanisms can lead to more efficient resource allocation.
  • Innovation: Encourages innovation and competition among businesses.
  • Sustainability: Private sector involvement can enhance the sustainability of development initiatives.

Cons:

  • Inequality: Can exacerbate economic inequality if benefits are not widely distributed.
  • Market Failures: May neglect sectors or regions where market conditions are unfavorable.
  • Short-Term Focus: Businesses might prioritize short-term profits over long-term development goals.

3. NGO-Led Development Strategy

Definition: NGO-led development involves non-governmental organizations taking a leading role in planning and implementing development projects. NGOs often focus on grassroots-level initiatives and aim to address specific needs within communities.

Characteristics:

  • Community-Based: Often involves direct engagement with local communities to identify needs and implement solutions.
  • Flexibility: NGOs can adapt quickly to changing conditions and local needs.
  • Funding: Typically funded by donations, grants, and international aid.

Examples:

  • Health Programs: NGOs running health clinics, vaccination campaigns, and disease prevention programs.
  • Education Initiatives: Providing educational resources, training, and schools in underserved areas.
  • Advocacy and Empowerment: Working to empower marginalized groups and advocate for their rights.

Pros:

  • Local Knowledge: NGOs often have a deep understanding of local contexts and needs.
  • Flexibility: Can adapt projects to meet the specific needs of communities.
  • Participation: Promotes active community involvement and ownership.

Cons:

  • Funding Constraints: Dependent on external funding, which can be unpredictable.
  • Coordination Issues: Multiple NGOs operating in the same area may lead to duplication of efforts or lack of coordination.
  • Sustainability: Projects may struggle to sustain beyond the duration of NGO involvement.

4. People-Centered Development Approaches

Definition: People-centered development emphasizes the active involvement of community members in the development process. It focuses on empowering individuals and communities to take charge of their own development and ensure that development efforts are aligned with their needs and aspirations.

Characteristics:

  • Participatory: Engages community members in decision-making and planning.
  • Empowerment: Aims to build the capacity and confidence of individuals and groups.
  • Sustainability: Focuses on sustainable outcomes by addressing the root causes of problems.

Examples:

  • Participatory Rural Appraisal (PRA): Techniques to involve community members in assessing their own needs and resources.
  • Community-Led Initiatives: Projects driven by local groups and organizations.
  • Capacity Building: Training and supporting local leaders and organizations to manage and implement development projects.

Pros:

  • Relevance: Ensures that development efforts are tailored to local needs and priorities.
  • Ownership: Enhances community ownership and commitment to development projects.
  • Sustainability: Builds local capacities that contribute to long-term sustainability.

Cons:

  • Time-Consuming: Participatory processes can be time-intensive and complex.
  • Resource Intensive: Requires significant resources to facilitate and support community involvement.
  • Potential for Conflict: Diverse community interests may lead to conflicts or challenges in reaching consensus.

5. Development as Community Transformation

Definition: Development as community transformation views development as a process of profound and holistic change within communities. This approach emphasizes not just economic growth but also social, cultural, and political transformation.

Characteristics:

  • Holistic: Addresses multiple dimensions of community life, including economic, social, and cultural aspects.
  • Long-Term Change: Focuses on sustainable, transformative change rather than short-term fixes.
  • Inclusive: Aims to include all segments of the community in the transformation process.

Examples:

  • Integrated Rural Development: Programs that address health, education, infrastructure, and economic development simultaneously.
  • Cultural Revival: Initiatives aimed at preserving and promoting local cultural heritage and traditions.
  • Social Innovation: Introducing new ideas and practices that drive systemic change in communities.

Pros:

  • Comprehensive: Provides a thorough approach to addressing community needs and challenges.
  • Sustainability: Focuses on long-term, sustainable change.
  • Empowerment: Engages communities in shaping their own transformation.

Cons:

  • Complexity: Managing multiple dimensions of development can be complex and challenging.
  • Resource Demands: Requires significant resources and coordination.
  • Resistance to Change: Communities may resist or struggle with transformative changes.

6. State Policies in Community Development with Special Focus on Recent Policies in Nepal

Overview: State policies play a critical role in shaping community development by providing frameworks, resources, and support for various initiatives. In Nepal, recent policies have been focused on addressing diverse development needs, improving governance, and promoting inclusive growth.

Recent Policies in Nepal:

  • Federalism and Decentralization:
    • Policy: Nepal adopted a federal system in 2015 through its new constitution, which aims to decentralize power and resources to local governments.
    • Impact: This policy has empowered local governments to take more active roles in community development, tailor policies to local needs, and manage resources more effectively.
  • Local Government Operation Act (2017):
    • Policy: This act provides guidelines for the operation and management of local governments.
    • Impact: It enhances the capacity of local governments to plan and implement development projects, promote citizen participation, and ensure accountability.
  • National Rural Infrastructure Policy (2021):
    • Policy: Focuses on improving rural infrastructure, including roads, water supply, and sanitation.
    • Impact: Aims to enhance connectivity, improve living conditions, and support economic activities in rural areas.
  • Social Protection Policy (2020):
    • Policy: Includes provisions for social safety nets, such as cash transfers and pension schemes.
    • Impact: Supports vulnerable populations and promotes social inclusion by providing financial assistance and protection.
  • National Environment and Climate Change Policy (2019):
    • Policy: Addresses environmental protection and climate change adaptation.
    • Impact: Aims to integrate environmental sustainability into development practices and enhance community resilience to climate change.

Pros:

  • Empowerment: Decentralization and local governance policies empower local authorities and communities.
  • Targeted Interventions: Recent policies are designed to address specific needs such as infrastructure, social protection, and environmental sustainability.
  • Inclusive Growth: Efforts to promote social inclusion and address vulnerabilities contribute to more equitable development.

Cons:

  • Implementation Challenges: Decentralization and federalism may face challenges related to capacity, coordination, and resource management.
  • Resource Constraints: Limited financial and technical resources can impact the effectiveness of policy implementation.
  • Policy Gaps: There may be gaps or inconsistencies between national policies and local needs or priorities.

In summary, understanding these trends provides a comprehensive view of the various approaches and strategies in community development, highlighting their strengths, challenges, and implications for effective and sustainable development. The focus on recent policies in Nepal illustrates how state-led strategies can evolve to address contemporary development needs and priorities.


Historical Accounts of CD and CBOs in Nepal

History of community development (CD): pre-unification, unification and Rana periods, planned development period (2007-2017BS), Panchyat period, after 2046BS – BOVO, PDDP, LGP, DLGSP; community-based organizations (CBOs) in Nepal: Khedi (in far-west), Parma, Bhajaita, Dhikuri, Guthi, Nogar, Rodi, Bheja).

History of Community Development (CD) in Nepal

1. Pre-Unification Period (Before 1768)

  • Overview: Before the unification of Nepal under King Prithvi Narayan Shah, the region was divided into small principalities and kingdoms, each with its own local governance and development practices.
  • Community Practices: Development was primarily community-driven with local leaders managing resources and organizing community activities such as irrigation, trade, and festivals.

2. Unification and Rana Period (1768–1950)

  • Unification (1768): King Prithvi Narayan Shah unified the various principalities into a single kingdom, laying the foundation for modern Nepal.
  • Rana Period (1846–1951): The Rana regime focused on consolidating power and control, with limited attention to community development. The state’s priorities were centered around centralization and maintaining political stability rather than local development.
    • Key Aspects: Infrastructure development such as roads and schools was primarily concentrated in the Kathmandu Valley. Rural areas experienced minimal state intervention and support.

3. Planned Development Period (2007-2017 BS) [1950-1960]

  • Introduction: After the end of the Rana period and the establishment of democracy, Nepal embarked on planned development with the assistance of international donors and aid agencies.
  • Key Developments:
    • First Five-Year Plan (1956-1961): Focused on agriculture, education, and infrastructure development.
    • Community Development Programs: Initiatives were launched to address rural poverty, improve education, and enhance agricultural productivity. These programs were often top-down and managed by central government agencies.

4. Panchayat Period (1961-1990)

  • Overview: The Panchayat system, a party-less autocratic regime established by King Mahendra, focused on centralized development with limited political pluralism.
  • Key Aspects:
    • Village Development Committees (VDCs): Introduced as part of decentralization efforts, VDCs were intended to enhance local development and community participation.
    • Integrated Rural Development: The government initiated various projects to improve rural infrastructure, health, and education, though effectiveness varied.

5. Post-2046 BS (1990 onwards)

  • Restoration of Democracy (1990): The end of the Panchayat system and the restoration of democracy led to significant changes in development strategies, with a focus on decentralization and community participation.
    • Decentralized Governance and Development (BOVO, PDDP, LGP, DLGSP):
      • Basic Operating and Visioning Objectives (BOVO): Early efforts to decentralize development planning and implementation, promoting local involvement and decision-making.
      • Participatory District Development Program (PDDP) (1999-2005): Aimed to involve communities in the planning and execution of development projects, enhancing local ownership and participation.
      • Local Governance Program (LGP) (2000-2006): Focused on strengthening local governance structures and improving service delivery at the grassroots level.
      • Decentralized Local Governance Support Program (DLGSP) (2008-2016): Supported the implementation of decentralized governance, emphasizing the role of local bodies in development.

Community-Based Organizations (CBOs) in Nepal

1. Khedi (Far-Western Nepal)

  • Overview: Community organizations in Khedi, a remote area in Far-Western Nepal, focus on local development initiatives such as agriculture, education, and health.
  • Key Activities: Implementing community-based projects, fostering local leadership, and addressing specific needs of the far-western regions.

2. Parma

  • Overview: Parma is a traditional community organization found primarily in the western and mid-western regions.
  • Key Activities: Focus on community cohesion, cultural preservation, and local problem-solving through collective action.

3. Bhajaita

  • Overview: Bhajaita is known for its community-based activities related to agricultural development and social welfare.
  • Key Activities: Community mobilization for agricultural improvement, water management, and education.

4. Dhikuri

  • Overview: Dhikuri organizations work on enhancing community resilience and development through local participation and cooperation.
  • Key Activities: Implementing programs for livelihood improvement, infrastructure development, and social services.

5. Guthi

  • Overview: Guthi refers to traditional community organizations, often associated with temple management and social welfare.
  • Key Activities: Managing religious and cultural activities, providing social support, and organizing community events.

6. Nogar

  • Overview: Nogar organizations are involved in community development projects focusing on local resource management and socio-economic development.
  • Key Activities: Resource management, local infrastructure projects, and promoting social and economic activities.

7. Rodi

  • Overview: Rodi community groups focus on collective action and support systems for marginalized communities, particularly in rural areas.
  • Key Activities: Advocacy, social support, and community empowerment initiatives.

8. Bheja

  • Overview: Bheja organizations are known for their efforts in rural development, focusing on agriculture and community health.
  • Key Activities: Implementing agricultural programs, health initiatives, and local development projects.

Summary

The history of community development in Nepal reflects a transition from centralized, top-down approaches to more participatory and decentralized strategies. The evolution includes a focus on planned development, decentralization, and local governance reforms. Community-based organizations (CBOs) have played a crucial role in addressing local needs and fostering development at the grassroots level.

Understanding these historical contexts and the roles of various CBOs provides valuable insights into the development dynamics in Nepal and helps in crafting effective and inclusive development strategies.


Analysis and Appraisal of CBOs in Nepal

Small Farmer’s Development Programme (SFDF); Community Forestry; Production Credit of Rural Women (PCRW); Grameen Bikas Bank; Farmer Managed Community Irrigation System (FMCIS); community schools and colleges; community health programmes; recent trends in community-based programmes in Nepal.

1. Small Farmer’s Development Programme (SFDP)

Overview: The Small Farmers Development Programme (SFDP) was established to support small and marginal farmers by improving their productivity and income. It aims to enhance agricultural practices and provide necessary resources and support to small-scale farmers.

Key Features:

  • Objective: Increase agricultural productivity and income of small farmers.
  • Components: Includes training in modern farming techniques, access to improved seeds and fertilizers, and support for irrigation and infrastructure.
  • Implementation: Often managed through local agricultural cooperatives or development committees.

Strengths:

  • Targeted Support: Provides specialized support to small farmers who are often the most vulnerable.
  • Capacity Building: Enhances skills and knowledge of farmers, leading to improved agricultural practices.
  • Income Generation: Aims to increase farmers’ income through improved productivity.

Challenges:

  • Resource Constraints: Limited funding and resources can impact the effectiveness of the program.
  • Implementation Issues: Challenges in reaching all target beneficiaries and ensuring equitable distribution of resources.
  • Sustainability: Ensuring long-term sustainability and impact of the program.

2. Community Forestry

Overview: Community Forestry programs in Nepal focus on the sustainable management of forest resources by local communities. The goal is to enhance forest conservation while providing economic and social benefits to communities.

Key Features:

  • Objective: Promote sustainable forest management and improve livelihoods.
  • Community Involvement: Local communities are actively involved in the management and protection of forest resources.
  • Benefits: Includes access to forest products, income from forest-based enterprises, and environmental conservation.

Strengths:

  • Empowerment: Empowers communities to manage their own resources and participate in decision-making.
  • Environmental Benefits: Contributes to forest conservation and biodiversity.
  • Economic Benefits: Provides alternative livelihoods through forest products and eco-tourism.

Challenges:

  • Conflict of Interest: Balancing conservation goals with community needs can be challenging.
  • Management Capacity: Communities may face difficulties in managing and regulating forest resources effectively.
  • External Pressures: Threats from illegal logging and other external pressures can undermine efforts.

3. Production Credit for Rural Women (PCRW)

Overview: The Production Credit for Rural Women (PCRW) program provides financial support to rural women for income-generating activities. The aim is to empower women economically and socially.

Key Features:

  • Objective: Improve economic opportunities and livelihoods for rural women.
  • Components: Provides micro-loans, training, and support for small-scale enterprises.
  • Target Group: Rural women, particularly those engaged in agriculture or small businesses.

Strengths:

  • Empowerment: Enhances the economic status and decision-making power of rural women.
  • Income Generation: Helps women start or expand small businesses, leading to increased income.
  • Support Services: Includes training and technical support to ensure successful business operations.

Challenges:

  • Repayment Issues: Challenges in loan repayment and financial management.
  • Access to Markets: Women may face difficulties accessing markets for their products.
  • Social Barriers: Societal norms and barriers can limit the effectiveness of the program.

4. Grameen Bikas Bank

Overview: Grameen Bikas Bank, inspired by the Grameen Bank model from Bangladesh, focuses on providing microfinance services to rural communities in Nepal. The goal is to support poverty alleviation through access to financial services.

Key Features:

  • Objective: Provide microloans and financial services to low-income individuals and groups.
  • Model: Operates on a group lending model where loans are provided to groups with joint liability.
  • Services: Includes small loans, savings, and insurance products.

Strengths:

  • Access to Credit: Provides financial services to underserved populations who lack access to traditional banking.
  • Social Impact: Supports poverty reduction and economic development at the grassroots level.
  • Repayment Rates: High repayment rates due to the group lending model and peer pressure.

Challenges:

  • Loan Default: Risks associated with loan defaults and financial sustainability.
  • Scalability: Challenges in scaling up the model to reach more communities.
  • Operational Costs: Managing operational costs and ensuring financial viability.

5. Farmer Managed Community Irrigation System (FMCIS)

Overview: The Farmer Managed Community Irrigation System (FMCIS) involves local farmers in the management and maintenance of irrigation systems. This approach aims to improve agricultural productivity by ensuring efficient water use. These systems represent grassroots democratic institutions where communities take responsibility for natural resource management and allocation.

Key Features:

  • Objective: Enhance agricultural productivity through effective irrigation management.
  • Community Involvement: Farmers are responsible for maintaining and managing irrigation infrastructure.
  • Sustainability: Promotes sustainable water use and local ownership of irrigation systems.

Strengths:

  • Local Management: Empowers communities to take charge of irrigation systems, leading to better maintenance and efficiency.
  • Cost-Effective: Reduces government expenditure on irrigation infrastructure.
  • Increased Productivity: Improves agricultural yields through reliable irrigation.

Challenges:

  • Management Capacity: Farmers may lack technical knowledge and resources for effective management.
  • Maintenance Issues: Ensuring consistent maintenance and addressing technical issues.
  • Equity: Balancing water distribution among different farmers and ensuring fair access.

Numerous Farmer Managed Irrigation Systems (FMIS) operate across Nepal, from the highlands and mid-hills to the Terai plains, supplying irrigation to about 70% of the country’s total irrigated land, which exceeds 1.2 million hectares. These systems are highly localized, with management practices that are adapted to the specific environmental and social conditions of each area, reflecting the unique needs and organizational structures of local communities.

FMIS are recognized as grassroots democratic institutions where communities collectively take charge of managing and distributing water resources, establishing their own rules and procedures through consensus27. This community-driven approach not only supports local agricultural productivity but also embodies traditional knowledge and practices that have evolved over generations.

The autonomy and adaptability of Nepal’s FMIS offer a strong foundation for the sustainable management and development of the country’s natural resources, particularly water, which is considered the nation’s most vital resource. These systems are viewed as national heritage and play a crucial role in ensuring food security and economic stability for rural populations.

6. Community Schools and Colleges

Overview: Community schools and colleges aim to provide quality education at the local level, often focusing on underserved and rural areas. These institutions are managed and supported by local communities.

Key Features:

  • Objective: Improve access to education and enhance educational opportunities.
  • Community Involvement: Communities are involved in the management and operation of schools and colleges.
  • Curriculum: Often includes local context and needs, providing relevant education to students.

Strengths:

  • Accessibility: Increases access to education in remote and underserved areas.
  • Community Engagement: Fosters community involvement and ownership of educational institutions.
  • Local Relevance: Tailors education to local needs and context.

Challenges:

  • Resource Constraints: Limited resources for infrastructure, materials, and qualified teachers.
  • Quality of Education: Ensuring the quality and standard of education in community-managed schools.
  • Sustainability: Maintaining long-term support and funding for educational institutions.

7. Community Health Programmes

Overview: Community health programs focus on improving health outcomes at the local level through preventive and curative health services. These programs often involve local communities in health education and service delivery.

Key Features:

  • Objective: Enhance public health and reduce disease burden in communities.
  • Components: Includes health education, vaccination campaigns, maternal and child health services, and disease prevention.
  • Community Participation: Engages community members in health promotion and service delivery.

Strengths:

  • Local Engagement: Involves communities in health initiatives, leading to better acceptance and participation.
  • Preventive Focus: Emphasizes disease prevention and health education.
  • Accessibility: Provides health services to underserved and remote areas.

Challenges:

  • Resource Limitations: Challenges in funding and providing adequate health services.
  • Health Infrastructure: Limited health infrastructure and medical facilities in rural areas.
  • Behavioral Change: Difficulties in changing health behaviors and practices.

8. Recent Trends in Community-Based Programmes in Nepal

Overview: Recent trends in community-based programs in Nepal reflect a shift towards more inclusive, participatory, and sustainable approaches. These trends focus on addressing emerging needs and leveraging local resources and knowledge.

Key Trends:

  • Decentralization: Increasing emphasis on decentralizing development efforts to empower local governments and communities.
  • Integration of Technology: Utilizing technology for better management and implementation of community programs (e.g., digital platforms for education and health services).
  • Focus on Inclusivity: Addressing the needs of marginalized and vulnerable groups, including women, ethnic minorities, and people with disabilities.
  • Sustainability: Emphasizing sustainable practices and environmental conservation in community development projects.
  • Strengthening Local Capacity: Investing in capacity building and local leadership to enhance the effectiveness and sustainability of community programs.
  • Partnerships and Collaboration: Encouraging collaboration between government agencies, NGOs, and the private sector to leverage resources and expertise.

Summary:

The analysis of various CBOs and programs in Nepal reveals a rich tapestry of initiatives aimed at improving livelihoods, empowering communities, and addressing local needs. From agricultural support and microfinance to education and health, these programs have made significant contributions to community development. However, challenges such as resource constraints, management capacity, and sustainability need continuous attention. Recent trends indicate a move towards more inclusive, technology-driven, and sustainable community-based approaches, reflecting the evolving landscape of development in Nepal.


People’s Participation and Participatory Development

Concept, definitions and role of people’s participation in community development; role of communication in people’s participation and community development; problems and challenges in people’s participation in community development; local and regional, national and international case studies.

1. Concept and Definitions:

  • People’s Participation: Refers to the active involvement of community members in the planning, implementation, monitoring, and evaluation of development projects. It emphasizes the empowerment of individuals and communities to take charge of their own development.
  • Participatory Development: A development approach that seeks to involve people at all levels, particularly at the grassroots, in decision-making processes to ensure that development initiatives are relevant and sustainable.

2. Role of People’s Participation in Community Development:

  • Enhances the relevance and sustainability of development projects by incorporating local knowledge and needs.
  • Builds a sense of ownership among community members, leading to better maintenance and long-term success of projects.
  • Strengthens social cohesion and empowers marginalized groups by giving them a voice in decision-making processes.

3. Role of Communication in People’s Participation and Community Development:

  • Effective communication is crucial for ensuring that all stakeholders are informed, heard, and engaged.
  • Facilitates the sharing of knowledge, ideas, and feedback, which is essential for collaborative decision-making.
  • Communication tools and methods, such as community meetings, local media, and participatory rural appraisal (PRA) techniques, help in mobilizing and engaging community members.

4. Problems and Challenges in People’s Participation in Community Development:

  • Social Barriers: Issues like caste, gender discrimination, and social hierarchies can hinder participation.
  • Lack of Awareness: Communities may not be fully aware of their rights or the potential benefits of participating in development projects.
  • Limited Resources: Financial and logistical constraints can limit the extent of community participation.
  • Political Interference: Local politics may influence or disrupt participatory processes.
  • Cultural Resistance: Traditional beliefs and practices may resist changes introduced through development projects.

5. Case Studies:

  • Local and Regional: Examination of participatory development projects within specific communities or regions, highlighting successes and challenges.
  • National and International: Analysis of broader participatory initiatives, such as national programs or international development projects that emphasize community involvement, and the lessons learned from these experiences.

Rural Economy

Rural Economic Structure

Occupations and income sources; household assets; rural-urban income gaps; agricultural policy; globalization; governance reforms.

Organizational Aspects of Agriculture

Farm size and productivity; land reform; green revolution; crop insurance; agrarian crisis; climate adaptation; terracing.

Alternative Occupations in Rural Areas

Dairying, poultry, fishery, horticulture; rural non-farm sector; wages; labour migration.

Rural Energy Sources

Biogas, solar and wind systems; alternative energy agencies; planning.

Programme and Budget Allocation under National Plans

Multi-level and micro-level planning; sufficiency of allocation.

Rural Economy — structures, income gaps and emerging trends in Nepal

Rural Development · 2025 · Original on blog ↗

Rural Economic Structure

Rural occupations and income sources in Nepal; household asset situation; rising rural-urban income gaps; emerging trends in rural expenditure pattern; agriculture in the world; role of agriculture in the economic development of rural Nepal; agricultural development under the national development plans; national agricultural policy; implications of globalization for agriculture in Nepal; governance reforms for better policy formulation and implementation in the agricultural sector.

Rural Occupations and Income Sources in Nepal

Rural occupations in Nepal are diverse, largely influenced by geography, resources, and cultural practices. Agriculture dominates the rural economy, employing about 65% of the population. In addition to farming, rural occupations include animal husbandry, fishing, forestry, and cottage industries such as handicrafts, weaving, and pottery. Seasonal migration to urban areas or foreign countries is also a significant source of income for rural households.

Rural income sources can be divided into two categories:

  1. Agricultural Income: This includes income from crop cultivation, livestock rearing, and selling agricultural products. Agriculture accounts for over 65% of employment and 31.7% of GDP in Nepal
  2. Non-Agricultural Income: This involves wage labor, remittances, small-scale trading, and other rural enterprises like cottage industries. Remittances from abroad, particularly from the Gulf countries and Malaysia, have become a critical source of income for many rural households.

Household Asset Situation in Rural Nepal

The household asset situation in rural Nepal varies widely, depending on factors like geography, social structure, and access to resources. Rural assets typically include land, livestock, agricultural tools, and housing. However, the distribution of land remains unequal, with many households owning small or marginal landholdings, while some are landless. The ownership of modern agricultural equipment is limited, with most farmers using traditional tools. Access to improved seeds, fertilizers, irrigation facilities, and credit services remains low, which constrains agricultural productivity and asset accumulation.

Remittances have helped many households improve their asset base, often leading to investments in housing, education, and non-agricultural businesses. However, the dependency on remittances also exposes households to risks associated with global economic changes and labor market fluctuations.

Rising Rural-Urban Income Gaps

The rural-urban income gap in Nepal has been widening due to several factors:

  1. Limited Economic Diversification in Rural Areas: Agriculture remains the primary occupation, with low productivity and income levels.
  2. Urban-Centric Development: Most economic activities and infrastructure development are concentrated in urban areas, leading to better job opportunities and higher wages in cities.
  3. Migration: Rural youth increasingly migrate to urban areas or abroad for better income opportunities, exacerbating income disparities as those remaining in rural areas often lack similar prospects.
  4. Access to Services: Urban households have better access to education, healthcare, and financial services, contributing to higher earning potential and a better standard of living.

The average household income in rural regions is about 27% of that in urban centers like Kathmandu, with rural households in the mountains earning as little as one-fifth of the income of their urban counterparts

Emerging Trends in Rural Expenditure Patterns

Rural expenditure patterns are changing due to factors like increased remittance income, access to new markets, and rising aspirations:

  1. Increased Non-Food Expenditure: While food consumption remains significant, there has been an increase in non-food expenditure, especially on education, healthcare, communication technologies, and housing improvements.
  2. Shifting Agricultural Investment: Many rural households are investing in better seeds, fertilizers, and irrigation to boost agricultural productivity. However, others are moving away from agriculture due to its low returns.
  3. Consumer Goods: Access to mobile phones, motorcycles, and household appliances has increased, driven by rising incomes and consumer aspirations.

Agriculture in the World

Globally, agriculture is the backbone of many developing economies, contributing significantly to GDP, employment, and food security. However, the agricultural sector faces numerous challenges, including climate change, land degradation, water scarcity, and fluctuating commodity prices. The adoption of technology, improved farming practices, and sustainable agriculture are crucial for addressing these challenges and ensuring global food security.

In developed countries, agriculture is highly mechanized and efficient, contributing a smaller share to GDP but still playing a key role in exports. In contrast, in many developing countries like Nepal, agriculture remains labor-intensive and a major source of livelihood despite low productivity and technological adoption.

Role of Agriculture in the Economic Development of Rural Nepal

Agriculture is the foundation of Nepal’s rural economy. It contributes about one-third of the country’s GDP and provides employment to the majority of the population. Its importance in rural economic development includes:

  1. Income and Employment: Agriculture is the primary source of income and employment in rural areas. It directly supports the livelihoods of millions of smallholder farmers.
  2. Food Security: Agriculture ensures food availability and is crucial for maintaining food security in rural communities.
  3. Multiplier Effect: Agricultural development stimulates rural economic activities, including processing industries, transport, and trading of agricultural inputs and outputs.

However, Nepal’s agriculture is characterized by low productivity, small landholdings, and limited mechanization. These challenges must be addressed to realize agriculture's full potential in rural economic development.

Agricultural Development Under National Development Plans

Agricultural development has been a priority in Nepal’s national development plans, with efforts focused on increasing productivity, modernizing farming techniques, and improving rural infrastructure. Key initiatives include:

  1. Irrigation Projects: Expanding irrigation infrastructure to reduce dependency on monsoon rains.
  2. Fertilizer and Seed Distribution: Improving access to quality seeds and fertilizers to boost crop yields.
  3. Agricultural Extension Services: Providing training and technical assistance to farmers to adopt modern farming practices.
  4. Credit Facilities: Expanding agricultural credit services to help farmers invest in improved tools and technologies.

Despite these initiatives, the sector still faces challenges, including low investment, inadequate infrastructure, and climate change impacts.

National Agricultural Policy

Nepal’s National Agricultural Policy (NAP) aims to transform the agricultural sector by promoting sustainable and inclusive development. Key objectives of the policy include:

  1. Increasing Productivity: Through modern technology, improved seeds, fertilizers, and better farm management.
  2. Commercialization and Diversification: Encouraging commercial farming and crop diversification to enhance income.
  3. Food Security and Nutrition: Ensuring sufficient production of staple crops and access to nutritious food.
  4. Sustainable Farming: Promoting environmentally sustainable farming practices and mitigating the impact of climate change.

The policy also emphasizes the need for better infrastructure, access to markets, and capacity building for farmers to enhance agricultural output and rural livelihoods.

Implications of Globalization for Agriculture in Nepal

Globalization presents both opportunities and challenges for Nepal’s agricultural sector:

  1. Market Access: Globalization opens access to international markets, offering opportunities to export high-value agricultural products like tea, coffee, herbs, and spices.
  2. Competition: Nepal’s agricultural products face stiff competition from imported goods, especially from India and China, where production costs are lower. This puts pressure on local farmers.
  3. Technology Transfer: Globalization facilitates the transfer of modern agricultural technologies, which can improve productivity and efficiency.
  4. Trade Agreements: Participation in international trade agreements can influence domestic agricultural policies and practices.

Globalization also exposes Nepal’s farmers to price volatility in global markets, creating additional risks for smallholders.

Governance Reforms for Better Policy Formulation and Implementation in the Agricultural Sector

Effective governance reforms are essential for the successful formulation and implementation of agricultural policies. Key areas of reform include:

  1. Decentralization: Strengthening local governance and empowering local authorities to address specific agricultural challenges and opportunities.
  2. Improved Service Delivery: Enhancing agricultural extension services, credit availability, and market access to support farmers.
  3. Transparency and Accountability: Ensuring transparency in agricultural subsidies, distribution of inputs, and rural development projects to prevent corruption.
  4. Inclusive Policies: Formulating policies that consider the needs of marginalized groups, including smallholder farmers, women, and indigenous communities.
  5. Research and Innovation: Investing in agricultural research to develop locally adapted technologies and practices that address the unique challenges of Nepal’s diverse agro-ecological zones.

Governance reforms are vital to ensure that policies are effectively implemented, monitored, and adjusted to achieve sustainable agricultural development in rural Nepal.


Organizational Aspects of Agriculture

Farm size and productivity; farm managerial functions; land reform; impact of green revolution in cropping pattern; crop insurance; performance of agriculture; diversity and uncertainties in agriculture; confronting challenges; agrarian Crisis and farmers; adaptation or mitigation measures against climate change impacts on agriculture; role of biotechnology in agriculture; dry land farming technologies; agricultural terracing – construction, use and management.

Organizational Aspects of Agriculture in Nepal

This unit covers key aspects related to the organizational framework of agriculture in Nepal, focusing on farm size, productivity, managerial functions, land reforms, crop insurance, and modern agricultural technologies. Each of these elements plays a role in shaping the agricultural landscape in Nepal, particularly in the context of rural development.

Overview of Nepal's Rural Economy and Agricultural Organization

Nepal's rural economy is predominantly agricultural, with approximately 66% of the population engaged in farming and related activities. The agricultural sector plays a crucial role in the country's economy, contributing about 23.95% to the GDP as of 2022, down from 65% in 1975. This decline reflects broader economic shifts towards manufacturing and services, driven in part by remittance-fueled investments in urban areas

1. Farm Size and Productivity

In Nepal, the average farm size is small due to fragmentation, and land holdings are typically less than 1 hectare. This impacts productivity in the following ways:

  • Low Mechanization: Small farm sizes limit the use of large-scale machinery, which could enhance productivity.
  • Subsistence Farming: Most farmers focus on subsistence farming rather than commercial farming, leading to low surplus for markets.
  • Limited Access to Credit: Small farm sizes reduce farmers’ ability to access credit, as they lack collateral, limiting their investment in improved seeds, fertilizers, and technologies.
  • Crop Diversity: Smaller farms often focus on growing diverse crops to meet household needs, reducing the potential for economies of scale in farming.

Most farms operate on a subsistence basis, with less than 10% of holdings producing surplus for market sale. This reliance on traditional farming practices results in low productivity levels, with about 25% of arable land remaining uncultivated due to inadequate modern farming technique

2. Farm Managerial Functions

Farm management in Nepal involves decision-making regarding:

  • Crop Selection and Rotation: Farmers decide which crops to plant based on seasons, soil fertility, and market demands. Crop rotation is practiced to maintain soil fertility.
  • Labor Management: Labor is often provided by family members, but during peak seasons, hired labor may be employed, increasing costs.
  • Resource Management: Efficient use of water, fertilizers, and pesticides is critical for maintaining farm productivity.
  • Market Planning: Farmers need to plan for selling their produce, considering market prices, transportation logistics, and storage facilities.

Effective farm management is often constrained by limited access to agricultural extension services, lack of education, and financial constraints in rural areas.

3. Land Reform

Land reform has been a major policy area in Nepal, aimed at addressing land ownership inequalities. Key aspects include:

  • Redistribution of Land: Efforts have been made to redistribute land from large landowners to landless farmers, but the implementation has been uneven.
  • Tenure Security: Land reforms aim to improve tenure security for tenant farmers, allowing them to invest in land and increase productivity.
  • Fragmentation of Land: Despite reforms, land fragmentation remains a significant issue due to inheritance practices, which reduce farm sizes over generations.
  • Land Consolidation: Land consolidation is encouraged to improve productivity and enable more efficient farming techniques, though its adoption has been slow.

4. Impact of the Green Revolution on Cropping Patterns

The Green Revolution introduced high-yielding varieties (HYVs) of crops, fertilizers, and irrigation, significantly affecting cropping patterns in Nepal:

  • Adoption of HYVs: Farmers, especially in the Terai region, adopted HYV rice, wheat, and maize, which increased productivity.
  • Shift to Cash Crops: With the focus on high-yielding varieties, some areas shifted towards growing cash crops such as sugarcane, tea, and vegetables.
  • Dependence on Inputs: The Green Revolution made farmers more reliant on chemical fertilizers, pesticides, and irrigation, increasing production costs.
  • Limited Reach in Hills and Mountains: The Green Revolution's impact was less pronounced in the hilly and mountainous regions due to difficult terrain and lack of irrigation facilities.

5. Crop Insurance

Crop insurance in Nepal is still in its infancy, though it is critical for mitigating risks related to weather, pests, and market fluctuations. Key points include:

  • Limited Coverage: Crop insurance schemes have been introduced by the government and private sector, but coverage is still limited, particularly in remote areas.
  • Risk Mitigation: Insurance helps farmers reduce the financial risks associated with crop failure due to natural disasters like floods, droughts, and landslides, which are common in Nepal.
  • Premium Costs: The cost of premiums is a barrier for small farmers, despite government subsidies in some cases.
  • Lack of Awareness: Many farmers are unaware of crop insurance benefits, which limits its widespread adoption.

6. Performance of Agriculture

Agricultural performance in Nepal has shown mixed results:

  • Growth in Cash Crops: There has been growth in the production of cash crops such as tea, coffee, and spices, which have good export potential.
  • Low Productivity: Productivity of staple crops like rice, maize, and wheat remains low compared to neighboring countries, mainly due to lack of inputs, poor irrigation, and fragmented landholdings.
  • Dependence on Imports: Nepal remains dependent on food imports, particularly for rice and wheat, due to insufficient domestic production.

7. Diversity and Uncertainties in Agriculture

Nepal's diverse geography leads to a variety of agro-ecological zones, resulting in diversity in crops and farming systems, but also challenges due to uncertainties:

  • Geographical Diversity: Agriculture varies from the plains of Terai, which are suitable for rice and wheat, to the hills and mountains where maize, millet, and potatoes are commonly grown.
  • Climatic Uncertainty: Nepal’s agriculture is highly vulnerable to climatic uncertainties such as monsoon variability, droughts, and unseasonal weather events.
  • Market Uncertainties: Farmers often face fluctuating market prices for their produce due to inconsistent demand, middlemen exploitation, and lack of direct market access.

8. Confronting Challenges

Farmers in Nepal face multiple challenges, including:

  • Access to Technology: Smallholder farmers often lack access to modern farming technologies, which limits their ability to increase productivity.
  • Market Access: Poor road infrastructure and lack of storage facilities hinder market access for many rural farmers, reducing their ability to sell produce at favorable prices.
  • Credit and Financing: Farmers face difficulties in accessing credit due to lack of collateral and high-interest rates, limiting their ability to invest in better inputs.

9. Agrarian Crisis and Farmers

The agrarian crisis in Nepal is marked by:

  • Rural Poverty: Despite being agrarian, Nepal’s rural areas suffer from poverty due to low productivity and limited income-generating opportunities outside agriculture.
  • Out-migration: Many rural youths are migrating to urban areas or abroad in search of better economic opportunities, leaving behind an aging population to manage farms.
  • Debt Burdens: Small farmers often fall into debt cycles due to crop failures, low prices, and lack of insurance, further exacerbating the crisis.

10. Adaptation or Mitigation Measures Against Climate Change Impacts on Agriculture

Climate change poses significant threats to agriculture in Nepal, but there are ongoing adaptation and mitigation efforts:

  • Climate-Resilient Crops: Efforts are being made to introduce drought-resistant and flood-tolerant crop varieties.
  • Irrigation Development: Expanding irrigation systems helps mitigate the effects of unpredictable rainfall and droughts.
  • Agroforestry: Combining tree planting with agriculture helps conserve soil, regulate water cycles, and sequester carbon.
  • Early Warning Systems: The government is working on improving early warning systems to help farmers prepare for extreme weather events like floods and landslides.

11. Role of Biotechnology in Agriculture

Biotechnology has potential to transform Nepal’s agriculture:

  • Improved Seeds: Biotechnology offers the development of improved seeds that are more resistant to pests, diseases, and adverse climatic conditions.
  • Genetic Modification: Although controversial, genetically modified crops could potentially increase yields and reduce the need for chemical inputs.
  • Biofertilizers and Biopesticides: Biotechnological advancements are promoting the use of biofertilizers and biopesticides, which are environmentally friendly alternatives to chemical fertilizers and pesticides.

12. Dry Land Farming Technologies

In areas where irrigation is scarce, dry land farming technologies are vital for improving productivity:

  • Moisture Conservation: Techniques such as mulching, conservation tillage, and contour plowing help conserve soil moisture in dry areas.
  • Drought-Resistant Crops: The use of drought-resistant crop varieties, like millet and sorghum, is promoted in dry land regions.
  • Water Harvesting: Technologies for harvesting rainwater, such as rooftop rainwater collection, are becoming increasingly important in dry farming areas.

13. Agricultural Terracing – Construction, Use, and Management

Terracing is a common agricultural practice in Nepal’s hilly and mountainous regions:

  • Construction: Terraces are built on slopes to prevent soil erosion and retain water. They are constructed using stone walls or earth embankments.
  • Use: Terraces are used for growing staple crops like rice, maize, and potatoes. They also allow for mixed cropping and agroforestry practices.
  • Management: Proper management of terraces includes regular maintenance to prevent erosion, ensuring proper drainage, and using organic fertilizers to maintain soil fertility.

Conclusion

The organizational aspects of agriculture in Nepal are shaped by small farm sizes, diverse cropping systems, and ongoing challenges in accessing technology and markets. Addressing these challenges through land reforms, better farm management, and the adoption of modern technologies is crucial for improving productivity and ensuring food security in rural Nepal. At the same time, mitigating the impacts of climate change and enhancing resilience in agriculture are critical to ensuring the sustainability of the sector.


Alternative Occupations in Rural Areas

Dairying, poultry, fishery, horticulture, sheep rearing; mixed farming systems; managing intensive livestock systems; rural non-farm sector; rural non-farm employment; wages in and earnings from rural labor market; implications of rural labour migration.

Alternative Occupations in Rural Areas in Nepal highlights the importance of diversifying rural income sources beyond subsistence agriculture. It explores key sectors that can enhance rural livelihoods, create employment, and reduce poverty, while also addressing rural migration. Here’s a detailed breakdown of these alternative occupations in the context of Nepal:

1. Dairying in Nepal:

  • Overview: Dairying is a major source of income for rural households in Nepal. Livestock such as cows, buffaloes, and goats are raised for milk production, which is consumed domestically and sold for cash.
  • Importance: Milk is a crucial part of the rural diet and also serves as a steady income source. Nepal has a well-established dairy market, with local cooperatives playing a key role in collecting and distributing milk.
  • Challenges:
    • Lack of adequate veterinary services and infrastructure for animal health.
    • Limited access to high-quality feed and fodder, impacting productivity.
    • Poor road and cold chain infrastructure hinder the transportation of perishable dairy products.
  • Opportunities: Government and NGO programs support dairy cooperatives, helping farmers with better breeds, healthcare, and market access. There is also growing demand for dairy products in urban markets, which rural dairy farmers can tap into.

2. Poultry in Nepal:

  • Overview: Poultry farming, especially chicken farming, has seen rapid growth in Nepal. It provides eggs and meat, which are essential sources of nutrition and income.
  • Importance: Poultry farming is attractive due to its quick returns and relatively low investment compared to other livestock. It has contributed significantly to the rural economy, with women often managing small-scale poultry farms.
  • Challenges:
    • Disease outbreaks such as bird flu periodically affect production.
    • Inconsistent supply of feed and high costs of imported poultry feed.
    • Poor knowledge of poultry management among small-scale farmers.
  • Opportunities: There is high demand for poultry products in both rural and urban markets. Expansion of poultry cooperatives and training programs can enhance production and income levels. Additionally, Nepal's growing hospitality sector (due to tourism) drives demand for poultry products.

3. Fishery in Nepal:

  • Overview: Fish farming (aquaculture) is becoming a growing occupation in rural Nepal, particularly in regions with access to water bodies like rivers, ponds, and lakes. Tilapia, catfish, and carp are common fish species farmed.
  • Importance: Fish farming provides a nutritious food source and an alternative income stream. It can be practiced alongside crop farming, making efficient use of water resources.
  • Challenges:
    • Lack of technical knowledge on modern aquaculture practices.
    • Limited access to quality fingerlings (young fish) and fish feed.
    • Environmental concerns like water pollution and overuse of water bodies.
  • Opportunities: Government and non-government organizations are promoting fish farming as part of integrated rural development programs. There is untapped potential in using available water resources for larger-scale aquaculture.

4. Horticulture in Nepal:

  • Overview: Horticulture, which includes growing fruits, vegetables, and flowers, is increasingly important in Nepal, especially for export-oriented farming. Popular horticultural products include oranges, apples, potatoes, tomatoes, and tea.
  • Importance: Horticulture provides high-value crops that are in demand in both domestic and international markets. It has become a key source of income for farmers in the hills and Tarai regions.
  • Challenges:
    • Inadequate cold storage and transportation facilities for perishable horticultural products.
    • Lack of technical expertise in modern horticultural practices.
    • High costs and limited access to quality seeds and pesticides.
  • Opportunities: There is potential for expanding organic farming and exporting organic fruits and vegetables, particularly to niche markets abroad. Government support through subsidies and training can further boost horticultural productivity.

5. Sheep Rearing in Nepal:

  • Overview: Sheep rearing is practiced mainly in the mountainous and hilly regions of Nepal. It provides wool, meat (mutton), and manure. The wool is traditionally used for making blankets, carpets, and garments.
  • Importance: Sheep rearing supports livelihoods in remote areas with limited agricultural land. The wool industry also has potential for value addition through traditional craft-making.
  • Challenges:
    • Lack of modern sheep breeds and veterinary care limits productivity.
    • Decline in traditional wool demand due to synthetic alternatives.
  • Opportunities: There is potential to revive the wool industry through improved sheep breeds and promoting traditional Nepali crafts. Increased demand for mutton, both domestically and from abroad, presents growth opportunities for sheep farming.

6. Mixed Farming Systems:

  • Overview: Mixed farming involves integrating crop production with livestock, poultry, or fish farming. This system helps maximize land use and diversifies income streams.
  • Importance: Mixed farming is resilient against market and climate shocks as it does not rely on a single income source. Farmers can use the by-products of one activity (e.g., manure from livestock) to enhance another (e.g., fertilizing crops).
  • Challenges:
    • Requires higher management skills to efficiently coordinate different activities.
    • Limited access to market information and infrastructure for diverse products.
  • Opportunities: Mixed farming can significantly improve household food security and income stability. Programs that provide training on integrated farming systems can support farmers in adopting this practice.

7. Managing Intensive Livestock Systems:

  • Overview: Intensive livestock systems involve keeping large numbers of animals (like cattle, pigs, or chickens) in confined spaces to maximize production.
  • Importance: It allows for high-volume production of meat, milk, and eggs, which are in demand in growing urban markets.
  • Challenges:
    • High input costs, including feed, veterinary care, and housing.
    • Environmental concerns like waste management and water use.
  • Opportunities: Improving farm management skills and using modern technologies can make intensive livestock systems more profitable. There is also scope for producing bioenergy (e.g., biogas) from livestock waste, adding value to the system.

8. Rural Non-Farm Sector and Employment:

  • Overview: The rural non-farm sector includes small-scale industries, services, and trade activities outside of agriculture. It provides jobs in areas such as handicrafts, construction, retail, and hospitality.
  • Importance: The non-farm sector is crucial for generating employment and income, especially for landless laborers and small farmers with limited agricultural production.
  • Challenges:
    • Limited access to capital and markets.
    • Lack of vocational skills and entrepreneurial knowledge.
  • Opportunities: Promoting small and cottage industries, particularly in handicrafts and textiles, can generate income for rural households. Vocational training and microcredit programs can help individuals start and grow small non-farm enterprises.

9. Wages in and Earnings from Rural Labor Market:

  • Overview: The rural labor market in Nepal consists mainly of casual laborers working in agriculture, construction, and small-scale industries.
  • Importance: Labor wages provide a vital source of income for rural households with little or no land. However, wages in rural areas tend to be low and irregular.
  • Challenges:
    • Lack of job security, formal contracts, and social protection.
    • Seasonal fluctuations in demand for labor, particularly in agriculture.
  • Opportunities: Increasing investment in rural infrastructure and industries can create more consistent and better-paying jobs. Labor migration, both domestic and international, has also provided an income source, though it raises concerns about rural depopulation.

10. Implications of Rural Labor Migration:

  • Overview: Labor migration, both within Nepal and to other countries (especially the Gulf nations), has become a key livelihood strategy for many rural families.
  • Importance: Remittances from migrant workers provide significant financial support to rural households and have contributed to poverty reduction.
  • Challenges:
    • Rural depopulation and loss of productive labor force in agriculture.
    • Social issues such as family separation and lack of support for the elderly.
  • Opportunities: Proper management of migration flows and investment of remittances in rural development can help balance the negative impacts of migration. Government policies can encourage returnees to invest in rural enterprises.

These alternative occupations and trends illustrate the need for diversified rural livelihoods in Nepal to improve economic resilience and reduce poverty.

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Conventional and Non-conventional Sources of Rural Energy

Significance and status of biogas production and use; significance and status of solar and wind energy systems and their installation and use; role of alternative energy related agencies in rural power generation and distribution; non-conventional energy planning for rural development.

Conventional and Non-conventional Sources of Rural Energy in Nepal emphasizes the transition from traditional energy sources like firewood to cleaner and more sustainable options. This unit explores the significance, status, and challenges of biogas, solar, and wind energy systems in rural Nepal, along with the roles of alternative energy-related agencies and the importance of non-conventional energy planning for rural development.

1. Biogas Production and Use in Nepal:

  • Significance:
    • Biogas is one of the most important renewable energy sources in Nepal, especially in rural areas where agriculture and livestock are prevalent.
    • It provides a clean and sustainable alternative to firewood, reducing indoor air pollution and deforestation.
    • Biogas systems use animal dung and organic waste to produce methane gas for cooking and lighting, with the by-products (slurry) serving as high-quality organic fertilizer.
    • This technology helps improve health conditions, particularly for women and children, who are often exposed to smoke from traditional stoves.
  • Status:
    • Nepal has been promoting biogas since the 1950s, with significant development in the 1990s through the Biogas Support Program (BSP), which installed tens of thousands of biogas plants across the country.
    • As of recent years, around 400,000 biogas plants have been installed in rural Nepal, covering about 10% of the population.
    • The government, through subsidies and international aid, has supported the installation of biogas systems, particularly for small-scale household use.
  • Challenges:
    • High initial costs for installation and maintenance of biogas plants, despite subsidies.
    • Lack of awareness and technical know-how among rural communities, particularly in remote areas.
    • Limited availability of livestock and organic waste in regions without agricultural activities.

2. Solar Energy in Nepal:

  • Significance:
    • Solar energy is a key non-conventional energy source, as Nepal enjoys abundant sunlight, with around 300 days of sunshine annually.
    • It provides an excellent option for electricity generation in off-grid rural areas, helping to address energy poverty and improve the quality of life.
    • Solar photovoltaic (PV) systems are used for lighting, powering appliances, irrigation, and small industries in rural areas.
    • Solar thermal systems are used for water heating and cooking, offering a sustainable alternative to traditional fuels.
  • Status:
    • Solar home systems have become widespread in rural areas, supported by government subsidies and international programs.
    • The Alternative Energy Promotion Centre (AEPC) and other NGOs have played a vital role in the distribution and installation of solar energy systems in remote villages.
    • Solar irrigation systems are gaining popularity, particularly in the Tarai region, as they help reduce reliance on unreliable grid electricity or diesel pumps.
    • Nepal has also seen an increase in solar mini-grids, which can electrify entire rural communities.
  • Challenges:
    • High upfront costs for solar panel installations and limited financial resources for rural households.
    • Difficulty in maintaining and servicing solar systems in remote areas due to lack of technical expertise.
    • Storage of solar energy is expensive, and many rural households cannot afford batteries or other storage solutions.

3. Wind Energy in Nepal:

  • Significance:
    • Wind energy has the potential to provide an alternative renewable energy source, particularly in the hilly and mountainous regions of Nepal where wind speeds are higher.
    • It can complement other renewable energy sources like solar and hydropower, particularly during the dry season when water levels for hydropower generation are low.
    • Wind energy is clean and sustainable, with minimal environmental impact compared to conventional energy sources.
  • Status:
    • Wind energy development in Nepal is still in its nascent stages, with only a few small-scale wind turbines installed for demonstration purposes.
    • Wind mapping and feasibility studies conducted by the AEPC and other agencies indicate that there is potential for wind power generation in regions such as Mustang, Tansen, and Palpa.
    • Despite its potential, wind energy has not yet been widely implemented due to high installation and maintenance costs and the need for further research and development.
  • Challenges:
    • Lack of comprehensive wind energy policies and incentives for investors.
    • High initial investment required for wind turbines and grid connectivity.
    • Technical barriers, including the need for specialized knowledge in wind turbine installation and maintenance.

4. Role of Alternative Energy Related Agencies in Rural Power Generation and Distribution:

  • Alternative Energy Promotion Centre (AEPC):
    • AEPC, established in 1996, is the primary government agency responsible for promoting renewable energy technologies in Nepal.
    • It plays a significant role in the implementation of rural energy programs, including biogas, solar, micro-hydro, and improved cooking stoves.
    • AEPC provides subsidies, technical support, and awareness-raising campaigns to promote the adoption of alternative energy technologies in rural areas.
  • Biogas Sector Partnership Nepal (BSP-Nepal):
    • BSP-Nepal is a key player in promoting biogas technology in rural households. It works in collaboration with AEPC and other international donors to implement biogas programs.
    • BSP-Nepal focuses on capacity building, financing, and ensuring the sustainability of biogas plants.
  • Non-Governmental Organizations (NGOs):
    • Many national and international NGOs work in collaboration with AEPC and other government agencies to promote renewable energy in rural Nepal.
    • These organizations often provide technical training, facilitate financing, and raise awareness of the benefits of renewable energy technologies.
  • Private Sector and Cooperatives:
    • Private sector companies are involved in the manufacturing, distribution, and installation of renewable energy technologies, particularly solar panels, biogas plants, and micro-hydro systems.
    • Cooperatives, especially in remote areas, help mobilize communities to adopt alternative energy solutions and manage rural electrification projects.

5. Non-Conventional Energy Planning for Rural Development:

  • Significance:
    • Non-conventional energy sources such as biogas, solar, wind, and micro-hydro play a crucial role in rural development by providing sustainable and reliable energy access to communities.
    • These energy sources contribute to improving health, education, and economic opportunities by reducing reliance on firewood, kerosene, and other traditional fuels.
    • Access to clean energy in rural areas also helps achieve national development goals, including poverty reduction and environmental conservation.
  • Status of Non-Conventional Energy Planning:
    • Nepal has developed a range of policies and strategies to promote the adoption of non-conventional energy sources in rural areas. These include the Rural Energy Policy (2006), National Renewable Energy Framework (2017), and Alternative Energy Development Program.
    • The Renewable Energy Subsidy Policy (2016) offers financial support to rural households for installing biogas plants, solar systems, and micro-hydro plants.
    • Programs like the Nepal Climate Change Support Program (NCCSP) integrate renewable energy promotion with climate change adaptation, focusing on vulnerable rural communities.
    • The government, in collaboration with development partners, is working on increasing off-grid energy access through renewable energy systems.
  • Challenges in Non-Conventional Energy Planning:
    • Lack of adequate financial resources and limited access to credit for rural households and small enterprises.
    • Difficulty in reaching remote areas with renewable energy technologies due to poor infrastructure.
    • Limited technical expertise and trained manpower for the installation and maintenance of non-conventional energy systems in rural areas.
  • Opportunities:
    • With growing international support for clean energy and sustainable development, Nepal has the potential to further scale up its renewable energy programs.
    • Expanding community-based energy projects, such as solar mini-grids and biogas cooperatives, can increase rural energy access.
    • Integration of renewable energy with agriculture and other rural enterprises can create economic opportunities and enhance productivity.

Conclusion:

The adoption of biogas, solar, and wind energy in rural Nepal has significant potential to transform rural livelihoods by providing clean, sustainable, and affordable energy. The efforts of agencies like AEPC, along with strong non-conventional energy planning, can help Nepal move towards energy self-sufficiency, improve rural living standards, and address the challenges of energy access in remote areas. However, there is still a need for greater investment, research, and policy support to fully harness the potential of non-conventional energy sources for rural development.


Programme and Budget Allocation for Rural Development under National Plans

Multi-level planning; organization for planning: centre, regions, districts, village development committees (VDCs); importance of micro-level planning for rural development; sufficiency of programme and budget allocation for rural development, and focus on rural area development.

Programme and Budget Allocation for Rural Development under National Plans

Rural development in Nepal has been a critical focus in the national development strategy, as the majority of the population lives in rural areas and depends on agriculture and related activities. The government of Nepal has adopted multi-level planning processes to ensure the efficient allocation of resources and implementation of development programs aimed at improving the socioeconomic conditions of rural communities.

1. Multi-level Planning

Multi-level planning refers to the coordinated approach to development where different levels of government—central, regional, district, and local—participate in planning and implementation:

  • Central Level: The central government sets broad development policies and allocates budgets for different sectors, including rural development. It is responsible for formulating national development plans that outline goals, strategies, and programs for economic growth, poverty reduction, and infrastructure development.
  • Regional Level: At the regional level, development strategies are customized to suit the specific needs and resources of the region. Regional planning helps bridge the gap between national priorities and local requirements.
  • District Level: District-level planning is essential for identifying the unique developmental challenges of specific areas. District development committees (DDCs) are responsible for coordinating and implementing programs at this level.
  • Village Development Committees (VDCs): At the grassroots level, VDCs play a key role in planning and implementing programs tailored to the needs of individual villages. They focus on infrastructure development, education, health, and agriculture, addressing issues unique to their communities.

2. Organization for Planning: Centre, Regions, Districts, Village Development Committees (VDCs)

Planning in Nepal involves various organizational levels, ensuring that development efforts are well-coordinated and effectively reach rural areas:

  • Central Government (Centre): The National Planning Commission (NPC) is the apex body responsible for preparing and monitoring the implementation of national development plans. It coordinates with different ministries and agencies to ensure that budget allocations align with the country's development goals.
  • Regional Planning Bodies: Nepal is divided into development regions, each with its own planning bodies that work to adapt national plans to the specific geographic and economic conditions of the region. This ensures that regional disparities are addressed, and development is balanced across the country.
  • District Development Committees (DDCs): At the district level, DDCs play a key role in implementing development projects. They coordinate with VDCs to ensure that rural development programs are responsive to local needs.
  • Village Development Committees (VDCs): VDCs are responsible for local-level planning and development. They have the autonomy to allocate resources to projects such as road construction, irrigation, and school building based on community priorities.

3. Importance of Micro-level Planning for Rural Development

Micro-level planning focuses on the smallest units of development, such as villages and communities. It ensures that development initiatives are tailored to the specific needs of local populations:

  • Community-driven Development: Micro-level planning encourages the active participation of local communities in identifying their needs and priorities. This participatory approach ensures that development projects are relevant and beneficial to the people.
  • Resource Optimization: By focusing on the specific needs of a village or community, micro-level planning ensures that resources are allocated efficiently. Projects are more likely to succeed when they are based on a thorough understanding of local conditions.
  • Addressing Local Disparities: Rural areas often face unique challenges, such as remoteness, lack of infrastructure, and limited access to education and healthcare. Micro-level planning helps address these disparities by tailoring development initiatives to the specific context of each community.
  • Strengthening Local Governance: Micro-level planning strengthens local governance by empowering VDCs and community-based organizations to take ownership of development projects. This not only improves accountability but also ensures that development is sustainable in the long run.

4. Sufficiency of Programme and Budget Allocation for Rural Development

The sufficiency of budget allocation for rural development has been a critical issue in Nepal, as the effectiveness of rural development programs depends on adequate financial resources. Several factors influence the adequacy of budget allocation:

  • National Development Plans: The government of Nepal formulates periodic national development plans, such as the Five-Year Plans, which prioritize sectors like agriculture, education, health, and infrastructure development. Rural development is a key focus in these plans, and budgets are allocated accordingly.
  • Budgetary Constraints: Despite the prioritization of rural development, budgetary constraints often limit the extent to which programs can be implemented. Inadequate financial resources result in delays in project implementation, lack of infrastructure, and insufficient support for agriculture and education.
  • Donor Contributions: International donors and development partners play a significant role in financing rural development programs in Nepal. Projects supported by organizations such as the World Bank, Asian Development Bank (ADB), and other bilateral donors have helped supplement the government's budget for rural development.
  • Decentralized Budget Allocation: The decentralization of budget allocation has improved the responsiveness of development programs to local needs. However, the sufficiency of the allocated budget depends on the effectiveness of local governance in managing resources and implementing projects.

5. Focus on Rural Area Development

Rural development is a cornerstone of Nepal’s national development strategy, given that the majority of the population lives in rural areas. Key areas of focus include:

  • Agriculture Sector Development Programme (ASDP): This program aims to improve agricultural productivity and livelihoods in rural areas by promoting high-value agriculture and enhancing access to markets and services. It specifically targets disadvantaged groups, including women and landless farmers.
  • Agriculture: Agriculture is the backbone of the rural economy in Nepal, and national development plans consistently prioritize the modernization of agricultural practices. This includes investment in irrigation, mechanization, and the promotion of high-value crops to increase productivity and income.
  • Infrastructure Development: Rural infrastructure, such as roads, bridges, and electricity, is crucial for improving market access and enabling economic growth. The government has launched several initiatives to enhance rural connectivity and reduce the isolation of remote areas.
  • Education and Health: Improving access to education and healthcare in rural areas is essential for enhancing human capital and reducing poverty. National plans have focused on expanding the reach of schools and health posts, particularly in remote regions.
  • Rural Employment and Livelihoods: To address rural poverty, national development programs emphasize the creation of employment opportunities through alternative livelihoods such as handicrafts, small-scale industries, and tourism.
  • Environmental Sustainability: Sustainable development is a key focus in rural areas, particularly in fragile mountain ecosystems. National development plans promote practices like agroforestry, organic farming, and renewable energy to ensure that rural development is environmentally sustainable.
  • Rural Enterprise and Economic Development (REED) Project: This initiative seeks to stimulate rural enterprises by strengthening market linkages and enhancing the enabling environment for business development. It focuses on providing funding for start-up business plans and improving infrastructure to support rural economies.
  • Samriddhi – Rural Enterprises and Remittances Project: This project aims to diversify economic activities in rural areas by promoting self-employment and small businesses. It also targets migrant households to help them effectively utilize remittances for local development.

Conclusion

Nepal's rural development efforts are characterized by a multi-level planning approach that involves various governmental tiers, from the central government to village-level planning bodies. Micro-level planning is vital for addressing local needs and ensuring community participation in development projects. While budget allocation for rural development is a priority in national plans, constraints in financial resources and implementation capacity often hinder the effectiveness of these efforts. Strengthening local governance and ensuring sufficient resource allocation are key to achieving sustainable rural development in Nepal.

Project Planning and Management

Fundamentals of Project Planning

Project cycle; ZOPP; participatory project cycle management; situational analysis; logical framework.

Environment for Project Identification

Identification steps; size, location and technology; pre-feasibility; formulation techniques.

Project Appraisal

Technical, economic and financial feasibility; BCR, NPV, IRR; sensitivity analysis; social benefit-cost analysis.

Project Planning and Management Essentials

Monitoring; MIS; PERT and CPM; evaluation; impact assessment; PPME.

Microfinance, Self-help and Women Empowerment

Fundamentals

History and role of microfinance in poverty alleviation; women empowerment and national policy.

Gender Equity Issues for Rural Areas

Practical and strategic needs; gender sensitization and mainstreaming.

Self-help and Self-help Groups

SHG stages, types and structures; micro-savings and micro-insurance; Grameen Bank, PCRW, SFDP experiences.

Cooperative and Rural Development

Basics of Cooperative

Features, objectives and types; importance in an agro-based economy.

History of Cooperative Movements

Rochdale to present; Owen, Fourier, Delitzsch, Raiffeisen; Israel, Germany, Japan, SAARC.

Cooperatives in Nepal

Evolution; periodic plans; NCDB; NCF; acts, rules and directives.

International Cooperative Alliance

Objectives, identity and seven principles.

Agriculture and Cooperative Ministry

Structure; vision and functions of the Cooperatives Department.

Women in Cooperatives in Nepal

Status, role in rural women’s development; critical evaluation.

Environmental and Occupational Health

Environment, climate, waste, occupation and risk

Environment and Health

Man and Environment

1.1 Introduction to human ecology

Human ecology studies the interrelationship between people and their natural, social and built environments. Humans are both products and modifiers of the environment. Population, social organization, environment and technology interact, and health is the outcome of these interactions.

1.2 Ecological system and health

An ecosystem is a community of living organisms (biotic) interacting with the non-living environment (abiotic) through energy flow and nutrient cycles. Ecosystem services (provisioning, regulating, cultural, supporting) sustain health by supplying food, clean water, climate regulation and disease control.

  • Healthy ecosystems protect health; disturbed ecosystems raise risk
  • Deforestation and habitat loss increase zoonotic and vector-borne disease
  • Loss of wetlands and forests reduces water quality and food security

1.3 Occupation, environment and health

The workplace is part of the environment. Occupational hazards (chemical, physical, biological, ergonomic, psychosocial) often spill into communities, as with industrial emissions or take-home contamination. Lead, asbestos and pesticides show how the same exposure links workers and the public, and both fields use the exposure–dose–response logic.

1.4 Causes of environmental degradation and health consequences

  • Causes: population growth, urbanization, industrialization, deforestation, intensive agriculture and agrochemicals, poor waste management, fossil fuel use, climate change and poverty.
  • Health consequences: respiratory and cardiovascular disease from air pollution; water-borne and food-borne disease; shifts in vector-borne disease; malnutrition from lost agricultural productivity; injury and displacement from disasters; mental health effects.

Environmental Health

2.1 Environmentalism and utilitarianism

Environmentalism values nature for its own sake (ecocentric or biocentric view) and argues for protection regardless of human use. Utilitarianism values the environment by its usefulness to people and judges actions by the greatest good for the greatest number, which leads to cost-benefit reasoning. Policy tension between development and conservation is often resolved with the precautionary principle.

2.2 Biophysical and social sciences in environmental health

Biophysical sciences (toxicology, chemistry, microbiology, physics, ecology, engineering) identify hazards and exposure pathways. Social sciences (sociology, economics, anthropology, behavioural science, policy studies) explain behaviour, inequity and governance. Effective environmental health needs both.

2.3 Model of human interaction with the environment

A widely used framework is the WHO DPSEEA chain:

  1. Driving forces (population, economy, technology)
  2. Pressures (emissions, resource use)
  3. State of the environment (air or water quality)
  4. Exposure
  5. Health effects
  6. Actions (policy and interventions at any link)

2.4 Ecosystem concept of health

Health depends on the integrity of ecosystems. Ecosystem health, One Health and Planetary Health approaches treat human, animal and environmental health as interconnected, so protecting ecosystems is a health intervention.

2.5 Person–environment–occupation (PEO) model

The model has three interacting components: the person (abilities, characteristics), the environment (physical, social, cultural) and the occupation (tasks and roles). Well-being and performance depend on the fit between them, and a change in any component changes the fit. In environmental and occupational health it guides assessment of worker capacity, workplace design and task demands.

2.6 Environmental health in sustainable development

Sustainable development meets present needs without compromising future generations (Brundtland, 1987). A healthy environment is both a goal and a means of development, linked to SDG 3 (health), 6 (water and sanitation), 7 (clean energy), 11 (cities), 12 (consumption) and 13 (climate). Target 3.9 aims to reduce deaths and illness from hazardous chemicals and air, water and soil pollution.

Assessment of Environmental Health Interactions

3.1 Health and environmental impact assessment (EIA)

EIA predicts the environmental effects of a proposed project before a decision is made. Main steps: screening, scoping, baseline study, impact prediction and evaluation, mitigation measures, report (EIS), review and public consultation, decision, and monitoring and follow-up. Health issues are often weakly covered and need explicit attention.

3.2 Health and social impact assessment

Health impact assessment (HIA) judges the potential effects of a policy, programme or project on the health of a population and how they are distributed. Steps: screening, scoping, appraisal, reporting and monitoring. Social impact assessment (SIA) examines social change such as livelihoods, displacement, culture and community cohesion. The two overlap through social determinants of health.

3.3 Health risk and impact assessment

Four steps:

  1. Hazard identification
  2. Dose–response assessment
  3. Exposure assessment
  4. Risk characterization

Risk management (deciding what to do) is a separate step. Risk depends on hazard and exposure. For non-cancer effects, hazard quotient = exposure ÷ reference dose; for cancer, risk = lifetime average daily dose × slope factor. Uncertainty must be reported (enHealth, 2012).

3.4 Chemical and microbiome interactions: exposure and exposure assessment

Exposure is contact between an agent and a person. The pathway runs from source to release, environmental medium, point of contact, route (inhalation, ingestion, dermal) and receptor.

  • Methods: environmental monitoring, personal monitoring, biomonitoring (blood, urine), questionnaires, modelling
  • Dose estimate: ADD = (C × IR × EF × ED) ÷ (BW × AT), where C is concentration, IR intake rate, EF exposure frequency, ED exposure duration, BW body weight, AT averaging time
  • Microbiome: chemicals can alter the gut and skin microbiome, and microbes can transform chemicals and change their toxicity. This is an emerging area of exposure science.

Disease Burden and Assessment

4.1 Burden of disease and measurement of population health

Burden of disease measures the gap between current health and an ideal state. Indicators include mortality, morbidity, life expectancy and healthy life expectancy. The key summary measure is the DALY (disability-adjusted life year):

  • DALY = YLL + YLD
  • YLL (years of life lost) = deaths × standard life expectancy at age of death
  • YLD (years lived with disability) = cases × duration × disability weight

QALYs measure health gained by interventions.

4.2 Global burden of diseases

The Global Burden of Disease (GBD) study estimates deaths and DALYs by cause, risk factor, age, sex and place. It shows the shift from communicable to non-communicable disease and ranks environmental and occupational risks such as air pollution, unsafe water and sanitation, lead and workplace exposures using comparative risk assessment.

4.3 Assessment of environmental burden of disease

The WHO method (Prüss-Üstün et al., 2003):

  1. Define the exposure scenario and population
  2. Estimate the exposure distribution
  3. Select exposure–response relationships (relative risks)
  4. Calculate the population attributable fraction: PAF = Σ Pᵢ(RRᵢ − 1) ÷ [Σ Pᵢ(RRᵢ − 1) + 1]
  5. Multiply PAF by the total burden (deaths or DALYs) to get the attributable burden

Results depend on a chosen counterfactual or minimum-risk exposure level.

4.4 Implications of environmental burden of disease assessment

  • Sets priorities and guides resource allocation
  • Evaluates policies and interventions
  • Reveals inequity, since burden concentrates among poorer groups
  • Tracks SDG progress and supports advocacy
  • Limited by data gaps and uncertainty, especially in Nepal

Further reading

  • Alli BO (2018). Fundamental principles of occupational health and safety. 2nd edition. International Labour Organization (ILO), Geneva.
  • Bastola SP, Pahari DP & Paudel RA (2012). Textbook of occupational safety and health, Kathmandu, Nepal.
  • enHEALTH (2012). Environmental health risk assessment: guiding for assessing human health risks from environmental hazards. Online ISBN: 9781742417677.
  • Herman K & Michael SB (2018). Handbook of environmental health. CRC Press. ISBN: 9780815382058.
  • NHRC (2004). Situation analysis of environmental health in Nepal, Nepal Health Research Council (NHRC), Kathmandu.
  • Pradhan PK & Pradhan B (2009). Environment and natural resources: concept, method, planning and management. Kathmandu: Quest Publication.
  • Prüss-Üstün, A, Mathers C, Corvalan C & Woodward A (2003). Introduction and methods: assessing the environmental burden of disease at national and local levels. Environmental burden of disease series 1. WHO, Geneva.
  • Sharma PD (2014). Ecology and environment. 13th edition. Rastogi Publication, India.
  • Stewart AB & Hursthouse AS (2018). Environment and human health: The challenge of uncertainty in risk assessment. Geosciences, 8; 24. https//doi.org10.3390/geosciences8010024.
Environmental Pollution and Health

Air Pollution and Health

1.1 Global and national scenarios

Ambient and household air pollution are among the leading environmental risks for death worldwide, and South Asia is heavily affected. In Nepal, fine particles (PM2.5) are high in the Kathmandu Valley and the Terai, with peaks in winter and pre-monsoon from vehicles, brick kilns, waste and biomass burning, dust, forest fires and crop-residue smoke. WHO 2021 guidelines: PM2.5 5 µg/m³ (annual) and 15 µg/m³ (24-hour).

1.2 Indoor and outdoor, transboundary pollution and causes

  • Indoor: solid-fuel cooking (particles, CO), tobacco smoke, mould, radon
  • Outdoor: vehicles, industry, brick kilns, construction dust, open burning, power generation
  • Transboundary: pollutants carried across borders by wind, such as smoke haze and regional crop burning
  • Underlying causes: rapid urbanization, vehicle growth, fossil fuel use, weak enforcement, poverty-linked reliance on biomass

1.3 Hazardous gases, lead, health risks and airborne disease

  • Nitrogen dioxide (NO₂): from combustion; airway inflammation, asthma, reduced lung function
  • Other gases: SO₂ (bronchoconstriction), CO (binds haemoglobin), ozone (lung irritation)
  • Lead: from leaded petrol (now phased out), batteries and paints; harms child brain development, causes anaemia, hypertension and kidney damage
  • Particulate matter: asthma, COPD, lung cancer, ischaemic heart disease, stroke, adverse birth outcomes
  • Airborne disease: TB, influenza, measles and COVID-19 spread through aerosols; crowding and poor ventilation raise risk, and pollution increases susceptibility

1.4 Monitoring: indicators, standards and control techniques

  • Parameters: PM2.5, PM10, SO₂, NO₂, CO, O₃, lead, reported as an Air Quality Index (AQI)
  • Methods: reference monitors, low-cost sensors, satellite estimates
  • Standards: WHO air quality guidelines and national ambient air quality standards
  • Control: cleaner fuels, LPG or improved stoves, emission standards, vehicle inspection; cyclones, bag filters, electrostatic precipitators, scrubbers; green belts, traffic management, brick-kiln upgrades

1.5 Estimating disease burden of air pollution

Use population-weighted exposure (e.g. PM2.5), exposure–response functions and baseline rates for heart disease, stroke, COPD, lung cancer and child respiratory infection. Compute the attributable fraction, then attributable deaths and DALYs, as in the GBD approach.

1.6 Policy interventions

  • Global: WHO air quality guidelines, World Health Assembly resolution on air pollution and health, Climate and Clean Air Coalition
  • Nepal (examples): environmental protection legislation, vehicle emission standards and old-vehicle restrictions, brick-kiln standards, Kathmandu Valley air quality management actions, clean cooking and electric mobility promotion
  • Gaps: enforcement, monitoring coverage, health-sector involvement

Water Pollution and Health

2.1 Sources and health consequences

  • Sources: domestic sewage, industrial effluent, agricultural runoff (nitrates, pesticides), mining, landfill leachate, natural arsenic and fluoride
  • Consequences: diarrhoea, typhoid, hepatitis A and E, cholera, chemical poisoning. Unsafe water, sanitation and hygiene are a major cause of child diarrhoeal deaths, and urban rivers in Nepal such as the Bagmati are heavily polluted.

2.2 Water sources, treatment and supply system in Nepal

  • Sources: springs, groundwater (tube wells in the Terai), surface water, rainwater
  • Supply: gravity-fed piped systems in the hills, tube wells in the Terai, piped and tanker supply in towns
  • Treatment: screening, sedimentation, coagulation–flocculation, filtration (slow or rapid sand), chlorination
  • Household treatment: boiling, filters, chlorine solution, solar disinfection (SODIS)

2.3 Contamination (arsenic and others), health impact and water-borne diseases

  • Arsenic: natural contamination of shallow Terai groundwater. Chronic exposure causes skin lesions, cancers of skin, lung and bladder, and cardiovascular disease. WHO guideline 10 µg/L; Nepal’s standard is 50 µg/L.
  • Others: nitrate (infant methaemoglobinaemia), fluoride (fluorosis), iron, manganese, lead, microbial contamination (E. coli, coliforms)
  • Water-borne diseases: cholera, typhoid, hepatitis A and E, dysentery, giardiasis

2.4 WaSH, related disease, preventive measures and water safety plans

Faecal–oral routes are fluids, fingers, flies, fields, fomites and food. WaSH-related disease includes diarrhoea, trachoma, soil-transmitted helminths and child stunting.

  • Prevention: safe excreta disposal, handwashing with soap, safe water storage and treatment. Nepal’s open-defecation-free campaign succeeded in coverage, but sustained use, quality and safely managed services remain challenges.
  • Water Safety Plans (WHO): a catchment-to-consumer risk approach with system assessment, operational monitoring and management plans.

2.5 Monitoring: quality, guidelines and indicator parameters

  • Physical: turbidity, colour, taste, odour, temperature
  • Chemical: pH, TDS, hardness, chloride, nitrate, arsenic, iron, residual chlorine
  • Microbiological: E. coli or thermotolerant coliforms (absent in 100 mL)
  • Guidelines: WHO drinking-water guidelines and Nepal’s National Drinking Water Quality Standards (2005). Quality control (by the supplier) differs from surveillance (independent).

2.6 Disease burden of water-borne diseases

Exposure is classified by service level (safely managed, basic, limited, unimproved, surface water) and compared with a counterfactual such as continuous piped water with sewer connection. Attributable fractions are applied to diarrhoeal deaths and DALYs.

2.7 Legal interventions in Nepal

  • National Water Supply and Sanitation Policy (2014)
  • WASH Sector Development Plan (2015)
  • Constitutional right to clean drinking water and sanitation
  • Water resources, drinking water, public health and environmental protection legislation

Soil Pollution and Health

3.1 Scenario, causes and indicators

Soil pollution is the presence of substances at levels that harm soil function, ecosystems or health.

  • Causes: agrochemicals, industrial waste, mining, improper waste disposal, sewage sludge, atmospheric deposition, microplastics
  • Indicators: heavy metals, pH, organic matter, nutrients, electrical conductivity, PAHs, microbial indicators
  • Soil erosion and land degradation are major issues in Nepal’s fragile terrain.

3.2 Anthropogenic activities, heavy metals and health

  • Lead: child neurodevelopment, anaemia
  • Cadmium: kidney and bone damage
  • Arsenic: skin and other cancers
  • Mercury: neurotoxicity
  • Pathways: soil ingestion (hand-to-mouth in children), crop uptake, leaching to groundwater, dust inhalation, skin contact
  • Environmental effects: reduced fertility, biodiversity loss, bioaccumulation in food chains

3.3 Control and prevention of soil-borne diseases

  • Remediation: phytoremediation, bioremediation, soil washing, immobilization (liming, biochar), excavation
  • Prevention: integrated nutrient and pest management, organic farming, waste segregation, buffer zones, erosion control (terracing, agroforestry)
  • Soil-borne diseases: soil-transmitted helminths, tetanus, anthrax, leptospirosis; prevented by sanitation, footwear, handwashing and deworming

3.4 Policy measures in Nepal

Examples include land use policy and legislation, pesticide and fertilizer control laws, solid waste management law, and environmental protection law and rules. Gaps are weak soil monitoring, limited enforcement and little health linkage. SDG target 3.9 includes soil pollution.

Noise Pollution and Health

4.1 Introduction: urban noise and sources

Noise is unwanted or harmful sound, measured in decibels on the logarithmic dB(A) scale (a 10 dB rise is roughly a tenfold increase in sound energy). Main sources in Nepali cities: traffic and horns, construction, industry, generators, loudspeakers, festivals and entertainment.

4.2 Level of noise and health effects

  • Effects: noise-induced hearing loss, tinnitus, sleep disturbance, annoyance, hypertension and heart disease, stress, impaired learning in children
  • Reference levels (approximate): WHO community noise guidance is about 55 dB(A) for outdoor living areas by day and 30 dB(A) in bedrooms at night; the occupational limit is commonly 85 dB(A) for 8 hours

4.3 Monitoring and control

  • Measurement: sound level meter (class 1 or 2) giving Leq, Lmax, L10, L90 and Lden; noise mapping
  • Control hierarchy: at the source (quieter machinery, vehicle maintenance, horn limits), along the path (barriers, green belts, zoning), at the receiver (earplugs, earmuffs, double glazing), and administratively (time limits, no-horn zones)

4.4 Policy measures in Nepal

Examples include noise provisions under environmental protection law, limits on pressure horns and loudspeakers, vehicle fitness rules, no-horn zones and land-use zoning. Enforcement and monitoring are weak.

Further reading

  • Assi MA, Hezmee MNM, Haron AW, Sabri MYM & Rajion MA (2016). The detrimental effects of lead on human and animal health, Veterinary World. EISSN: 2231-0916. https://doi.org/10.14202/vetworld.2016.660-671
  • Bhargav K, Balakrishnan K, Siddiqui AR, Begum BA, Bachani D & Brauer M (2017). Tackling the health burden of air pollution in South Asia. British Medical Journal, 59:j5209. https://doi.org/10.1136/bmj.j5209.
  • Chalise D, Kumar, L & Kristinsen P (2019). Land degradation by soil erosion in Nepal: a review. Soil Systems, 3, 12. https://doi.org:10.3390/soilsystems3010012.
  • Chapman Deborah (eds.) (1992). Water quality assessment. London: Chapman and Hall.
  • Cheong KH, Ngiam NJ, Morgan GG, Pek PP, Tan BYQ, Lai JW, Koh JM, Ong MEH & Wah Ho AF (2019). Acute health impacts of the Southeast Asian transboundary haze problem-a review. International Journal of Environmental Research and Public Health, 16, 3286. https://doi.org/10.3390/ijerph16183286.
  • Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB,…. Musgrove P (2006). Disease control priorities in developing countries. 2nd edition. The International Bank for Reconstruction and Development / The World Bank; New York: Oxford University Press.
  • Kumar R (2017). How will air quality change in South Asia by 2050? Journal of Geophysical Research: Atmospheres, 123, 1840–1864. https://doi.org/10.1002/2017JD027357.
  • Kutz M (eds.) (2018). Handbook of Environmental Engineering. I edition. John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA.
  • MoUD (2014). National Water Supply and Sanitation Policy, Ministry of Urban Development (MoUD), Government of Nepal.
  • MoWSS (2015) Water Sanitation and Hygiene, National sector development plan. Ministry of Water Supply and Sanitation (MoWSS), Government of Nepal.
  • Nadadur SS & Hollingsworth JW eds. (2015). Air pollution and health effects. Springer. https://doi.org/10.1007/978-1-4471-6669-6.
  • Naidu R, Smith E, Owens G, Bhattacharya P & Nadebaum P, eds. (2006). Managing arsenic in the environment: From soil to human health. CSIRO Publishing, 2006. Australia.
  • Rodríguez-Eugenio N, McLaughlin M & Pennock D (2018). Soil Pollution: a hidden reality. Food and Agriculture Organization (FAO). Rome, ISBN: 9789251305058.
  • Sanborn MD, Abelsohn A, Campbell M & Weir E (2002). Identifying and managing adverse environmental health effects: lead exposure The Canadian Medical Association Journal, 166(10); 1287-92.
  • Thakur JK, Thakur RK, Ramanathan AL, Kumar M & Singh SK (2011). Arsenic contamination of groundwater in Nepal: an overview. Water, 3, 1-20. https://doi.org/10.3390/w3010001.
  • Townsend AR, Howarth RW, Bazzaz FA, Booth MS,…..Wolfe AH (2003). Human health effects of a changing global nitrogen cycle. Frontiers in Ecology and the Environment, 1(5): 240-246. https//doi.org 10.2307/3868011.
  • WHO (1915). Guideline for drinking water quality, health criteria and other supporting information .2nd edition vol. II.World Health Organization.
  • WHO (1997). Guideline for drinking water quality surveillance and control of community supplies. Vol I, World Health Organization.
  • WHO (2005). Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide: Summary of risk assessment. WHO/SDE/PHE/OEH/06.02.
  • Wuana RA & Okieimen FE (2011). Heavy metals in contaminated soils: a review of sources, chemistry, risks and best available strategies for remediation. International Scholarly Research Network ISRN Ecology. https://doi:10.5402/2011/402647.
Climate Change and Health

Fundamentals of Climate Change and Health

1.1 Climate change basics

Weather is short-term atmospheric condition; climate is the long-term average (typically 30 years). Climate change is a lasting shift driven by natural variability and, mainly now, human activity.

  • Causes: fossil fuels, deforestation, agriculture and waste release greenhouse gases (CO₂, CH₄, N₂O, F-gases) that strengthen the greenhouse effect
  • Consequences: warming, sea-level rise, glacier retreat, changed rainfall, more extreme events

1.2 Climate variability and change in Nepal

Nepal contributes very little to global emissions but is highly vulnerable. The Himalayan region is warming faster than the global average. Observed patterns: shifting and erratic monsoon rainfall, glacier retreat with glacial lake outburst flood risk, more floods and landslides, droughts, heat in the Terai, and forest fires.

1.3 Health, climate change and gender

Climate affects health directly (heat, floods) and indirectly (water, food, vectors, livelihoods). Women are often more affected because of roles in water and fuel collection, agriculture and caregiving, limited mobility and decision-making in disasters, and pregnancy-related risks. Men face outdoor occupational heat exposure and distress migration. Adaptation should be gender-responsive.

Impacts of Climate Change on Health

2.1 Industrialization, urbanization and environmental impacts

Fossil fuel use, land-use change and urban growth raise emissions, create urban heat islands and release co-pollutants. Environmental impacts include air and water quality decline, biodiversity loss and ecosystem change.

2.2 Impacts on water, food, infrastructure, economic and social systems

  • Water: scarcity, floods, contamination
  • Food: lower or variable yields, undernutrition
  • Infrastructure: roads, bridges and health facilities damaged
  • Economic: loss of livelihoods and productivity
  • Social: migration, inequity, conflict over resources

2.3 Climate-induced disasters and health impacts

  • Direct: heatwaves (heat stroke, cardiovascular deaths), cold waves, floods (drowning, injury), landslides, storms
  • Indirect: diarrhoeal disease after floods; vector-borne disease (dengue, malaria, kala-azar, Japanese encephalitis, scrub typhus) spreading to new altitudes; respiratory disease from smoke, dust and ozone; mental health effects; occupational disease such as heat stress in farmers and construction workers; malnutrition

2.4 Emerging climate-sensitive diseases and health system impacts

  • Communicable: dengue, malaria, cholera, leptospirosis, zoonoses
  • Non-communicable: cardiovascular and respiratory disease, heat-related kidney disease, mental illness
  • Health system: damaged facilities, supply chain disruption, surge in demand, strain on workforce

Climate Change Responses in Public Health

3.1 Mitigation, adaptation and health co-benefits

Mitigation reduces greenhouse gas emissions (renewable energy, clean cooking, public transport, forest protection). Adaptation adjusts to impacts (early warning, water storage, climate-smart agriculture). Co-benefits include cleaner air from clean energy, more physical activity from active transport and healthier diets.

3.2 Climate-resilient health system

WHO’s framework has ten components: leadership and governance; health workforce; vulnerability, capacity and adaptation assessment; integrated risk monitoring and early warning; health and climate research; climate-resilient technologies and infrastructure; management of environmental determinants; climate-informed health programmes; emergency preparedness; and climate and health financing.

3.3 Prevention and control of health impacts

  • Early warning systems (heat, floods, outbreaks)
  • Disinfection of water and vector control after disasters
  • Public education and community awareness
  • Curative care with surge capacity

3.4 Governmental responses

  • UNFCCC and Paris Agreement
  • Nepal’s Nationally Determined Contributions (NDC)
  • National Climate Change Policy (2019)
  • National Adaptation Programme of Action and National Adaptation Plan process
  • Health National Adaptation Plan (HNAP)
  • Local Adaptation Plans of Action (LAPA)

Vulnerability and Risk Assessment in Public Health

4.1 Vulnerability and risk

Risk arises from the interaction of hazard, exposure and vulnerability. Vulnerability is the tendency of a person, community or system to be harmed, shaped by poverty, age, gender, health status, location and access to services.

4.2 Vulnerability assessment components

  • Exposure: presence of people or assets in a hazard-prone area
  • Sensitivity: degree to which they are affected
  • Potential impact: exposure and sensitivity combined
  • Adaptive capacity: ability to cope and adjust

Vulnerability is often expressed as potential impact minus adaptive capacity.

4.3 Vulnerability assessment tools

  1. Logical framework: define the system, hazard and outcome
  2. Select indicators: relevant, measurable, with available data (e.g. poverty rate, dengue incidence, piped water access)
  3. Normalize data onto one scale, e.g. min–max = (x − min) ÷ (max − min)
  4. Weight indicators: equal weights, expert judgement or statistical methods
  5. Aggregate into a composite index

4.4 Risk assessment and mapping

Identify and rank hazards by frequency and severity, analyze risk as likelihood × consequence (risk matrix), then map using GIS. Overlaying hazard and vulnerability maps produces a risk map showing priority areas.

4.5 Implications for the health system

  • Targets high-risk places and groups
  • Guides resource allocation and local adaptation plans
  • Supports early warning design and monitoring
  • Provides evidence for funding and policy

Further reading

  • Framkin H, Hes S, Luber G, Malilay J & McGeehin M (2008). Climate change: the public health response. American Journal of Public Health, 98, 435-445. https://doi.org/10.2105/AJPH.2007.119362.
  • Lucas AO and Gills HM (1990). Preventive medicine for the tropics. London: Edward Arnold.
  • McMichael AJ, Campbell-Lendrum DH, Corvalan CF, Ebi KL, Githeko A, Scheraga JD & Woodward A (eds.) (2003). Climate change and human health: risks and responses. World Health Organization. ISBN 92 4 156248 X.
  • MoFE (2019). National Climate Change Policy, Ministry of Forests and Environment (MoFE), Government of Nepal.
  • National Health and Training Center (NHTC) (2019). Climate change and Health Impacts: Reference Book. Department of Health Services, Ministry of Health and Population, Nepal.
  • Schnitter R, Verret M, Berry P, Fook TCT, Hales S, Lal A & Edwards S (2018). An assessment of climate change and health vulnerability and adaptation in Dominica. International Journal of Environmental Research and Public Health. 16,70: 1-17. https://doi.org:10.3390/ijerph16010070.
  • Smith KS, Woodward A, Campbell-Lendrum DD, Chadee D, Honda Y, Liu Q, Olwoch JM, Revich B & Sauerborn R (2014). Human health: impacts, adaptation, and co-benefits. In: Climate Change: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 709-754.
  • WHO/UNEP (1997). Water Pollution and Control. A guide to the use of water quality management principles. WHO/UNEP. ISBN: 0419229108.
Waste Management and Health

Solid Waste Management

1.1 Scenarios, sources and types

  • Sources: household, commercial, institutional, industrial, agricultural, healthcare, construction
  • Types: biodegradable (organic), paper, plastic, glass, metal, e-waste, hazardous

Urban waste in Nepal is mostly organic, and generation rises with urbanization and income.

1.2 Management practices

  • Waste hierarchy: reduce, reuse, recycle, recover, dispose
  • Functional elements: generation, onsite storage, segregation at source, collection, transfer and transportation, processing (composting, biogas, recycling), disposal (sanitary landfill, incineration)

Open dumping and riverbank disposal remain problems alongside landfill sites such as Sisdol and Banchare Danda.

1.3 Solid waste workers and their health issues

Waste pickers, sweepers and collectors face injuries (cuts, needle sticks), musculoskeletal disorders, respiratory problems from dust and bioaerosols, skin and gastrointestinal infections, hepatitis B, tetanus and road accidents. Controls: PPE, vaccination, safe tools, training, mechanization, formal employment and social protection.

1.4 Environmental issues and health effects

  • Leachate contaminating groundwater and surface water
  • Methane release (greenhouse gas, fire hazard)
  • Odour and vector breeding (flies, rodents, mosquitoes)
  • Open burning releasing particles and dioxins
  • Blocked drains and flooding

Health effects: diarrhoea, respiratory disease, vector-borne disease, cancer risk from toxic emissions, and stress near dumpsites.

1.5 Government interventions and regulatory framework

  • Solid Waste Management Act (2011) and rules
  • Local governments are responsible for municipal solid waste services
  • Emphasis on 3R, source segregation, user fees and sanitary landfill
  • Regulation covers collection, transport, treatment, disposal and monitoring

Hazardous Waste and Human Health

2.1 Introduction: sources and types

Hazardous waste is ignitable, corrosive, reactive or toxic. Sources: industry, health care, agriculture (pesticides), households (batteries, paints, solvents), e-waste. Generation is influenced by industrialization, consumption, technology, income, regulation and awareness.

2.2 Toxicity and human health effects

Exposure occurs by ingestion, inhalation or skin contact. Effects include neurotoxicity (lead, mercury), cancer (benzene, asbestos), reproductive harm and organ damage. Informal e-waste recycling exposes workers and communities to metals and burning by-products.

2.3 Health care waste: types, generation, risks and impacts

  • Types: general (the large majority), infectious, sharps, pathological, pharmaceutical, chemical, cytotoxic, radioactive
  • Risks: needle-stick injuries (HIV, hepatitis B and C), infections, chemical exposure, pollution from open burning (dioxins and furans), with waste pickers and nearby communities also at risk

2.4 Hazardous waste management practices in Nepal

Common practices are segregation, autoclaving, incineration, shredding, encapsulation and deep burial, with sharps pits. Informal e-waste recycling continues, and treatment, storage and disposal facilities for hazardous waste are limited.

2.5 Government interventions

The Solid Waste Management Act, health care waste guidelines, public health and environmental protection laws, and international conventions such as Basel (transboundary waste) and Stockholm (persistent pollutants).

2.6 Healthcare waste management and treatment in Nepal

The Health Care Waste Management Guidelines (2014) set out minimization, segregation at source in colour-coded containers, safe storage and transport, treatment (autoclave, microwave, incineration, chemical) and disposal, with a waste management committee in each facility. Challenges: resources, staff training and inconsistent practice.

Waste Water and Public Health

3.1 Generation, composition and scenarios in Nepal

  • Types: domestic (greywater and blackwater), industrial, stormwater, agricultural
  • Composition: organic matter (BOD, COD), suspended solids, nutrients (N, P), pathogens, heavy metals, detergents

Sewerage coverage in Nepali cities is limited, treatment capacity is small (e.g. Guheshwori in Kathmandu), and much wastewater enters rivers untreated.

3.2 Epidemiological evidence and health risks

Wastewater is linked to diarrhoeal disease, helminth infection in wastewater-irrigated farmers, typhoid and skin disease (Feachem et al., 1983). Risk groups: sanitation workers, farmers, children and downstream communities. WHO’s guidelines for wastewater use in agriculture use a multiple-barrier approach.

3.3 Public health, wastewater and sewerage

  • Sewerage types: combined, separate, simplified
  • On-site systems: septic tanks and pit latrines, with faecal sludge management

The sanitation chain runs from containment to emptying, transport, treatment and safe reuse or disposal. A broken link contaminates water supplies and spreads disease.

3.4 Treatment and management practices in Nepal

  • Preliminary: screening, grit removal
  • Primary: sedimentation
  • Secondary: activated sludge, trickling filters, stabilization ponds, constructed wetlands
  • Tertiary: disinfection, nutrient removal
  • Decentralized: DEWATS and constructed wetlands for small settlements
  • Challenges: poor operation and maintenance, funding gaps, non-functioning plants

Environmental Biology and Epidemiology of Excreted Pathogens

4.1 Situation in Nepal

Excreted pathogens spread by the faecal–oral route through water, food, hands, flies and soil. They include viruses, bacteria, protozoa and helminths. Diarrhoea, typhoid, hepatitis A and E, cholera outbreaks and soil-transmitted helminths remain public health problems in Nepal. Bradley’s classification groups water-related disease as water-borne, water-washed, water-based and water-related insect-vector.

4.2 Occurrence, infection, reservoir, epidemiology and environmental control

Pathogen Reservoir Transmission Environmental control
Enteroviruses Humans Faecal–oral, respiratory Sanitation, hygiene, vaccination (polio)
Hepatitis A virus Humans Contaminated water and food Safe water, sanitation, vaccine
Rotavirus Humans Faecal–oral, contaminated surfaces Handwashing, sanitation, vaccine
Escherichia coli (pathogenic) Humans, cattle Contaminated food and water Safe water, food hygiene
Salmonella typhi Humans only (carriers) Faecal–oral Safe water, sanitation, food-handler hygiene, vaccine
Leptospira interrogans Rodents, livestock Urine-contaminated water or soil entering skin Rodent control, footwear, drainage
Vibrio cholerae Humans, aquatic environment Contaminated water and food Safe water, sanitation, oral rehydration, vaccine
Entamoeba histolytica Humans Cysts, faecal–oral Sanitation, water filtration, hygiene
Giardia lamblia Humans, animals Cysts in water Filtration, boiling, hygiene
Ascaris lumbricoides Humans Eggs in soil, swallowed Sanitation, handwashing, deworming
Ancylostoma duodenale Humans Larvae penetrate skin from soil Footwear, sanitation, deworming
Fasciola hepatica Livestock, snail host Eating contaminated aquatic plants Avoid raw aquatic plants, snail and livestock control
Taenia solium Humans, pigs Undercooked pork; eggs (cysticercosis) Meat inspection, cooking, sanitation, pig confinement
Schistosoma haematobium Humans, snail host Skin contact with infested freshwater Sanitation, snail control; not endemic in Nepal

Further reading

  • Chartier Y, Emmanuel J, Pieper U, Prüss A, Rushbrook SR, Townend W, Wilburn S & Zghondi R (eds) (2014). Safe management of wastes from health-care activities. World Health Organization. 2nd edition. ISBN: 9789241548564.
  • Dangi MB, Pretz CR, Urynowicz MA, Gerow GK & Reddy JM (2011). Municipal solid waste generation in Kathmandu, Nepal. Journal of Environmental Management, 92, 240e249. https://doi.org: 10.1016/j.jenvman.2010.09.005.
  • Feachem RG, Bradley DJ, Garelick H, Mara D, Duncan F, Richard G,….Duncan D (1983). Sanitation and disease: health aspects of excreta and wastewater management (English). World Bank studies in water supply and sanitation; no. 3. New York, NY: John Wiley & Sons
  • Parajuly K, Thapa KB, Cimpan C & Wenzel H (2017). Electronic waste and informal recycling in Kathmandu, Nepal: challenges and opportunities. Journal of Material Cycles and Waste Management. https://doi.org:10.1007/s10163-017-0610-8.
  • Rao MN, Sultana R & Kota SH. Solid and hazardous waste management. 1st edition. eBook. ISBN: 9780128098769.
  • Srivastava V, Ismail SA, Singh P & Singh RP (2015). Urban solid waste management in the developing world with emphasis on India: challenges and opportunities. Reviews in Environmental Science and Bio/Technology, 14. 317-337. https://doi.org:10.1007/s11157- 014-9352-4.
Occupation and Health

Occupational Health: An Emerging Concept

  • 1.1 Concepts of occupational health
  • 1.2 Milestone in the development of occupational health and safety
  • 1.3 Stakeholders in the engagement in the development of occupational health and safety
  • 1.4 Status of occupational health in Nepal

Occupational Diseases and Injuries at the Workplace

  • 2.1 Introduction to occupational diseases, occupational injuries, and work-related diseases
  • 2.2 Common occupational diseases (ILO list of occupational diseases)
  • 2.3 Workplace injuries and disability
  • 2.4 Burden of occupational diseases and injuries

Occupational Safety and Health of Vulnerable Groups

  • 3.1 Occupational health issues in vulnerable population (children, women and elderly)
  • 3.2 Occupational health issues in gender-based violence, sexual harassment, women and girl trafficking
  • 3.3 Occupational health issues among agricultural and industrial workers
  • 3.4 Occupational health issues of health care workers

Status of Occupational Safety and Health

  • 4.1 Occupational safety and health in nations from America, Europe, Oceania
  • 4.2 Occupational safety and health in countries from Asia and Africa

Further reading

  • Baxter P, Aw TC, Cockcroft A, Durrington P, Harrington JM eds. (2011). Hunter’s diseases of occupations. 10th edition. CRC press, Ohio, USA. ISBN: 978-0340941669. pp 455.
  • Belin A, Zamparutti T, Tull K & Hernandez G (2011). Occupational health and safety risks for the most vulnerable workers. European Parliament Brussels, Belgium. pp 33
  • Gautam RP & Prasain JN (2011). Current situation of occupational safety and health in Nepal: A study report. General Federation of Nepalese Trade Unions (GEFONT) Publishing, Kathmandu, Nepal. ISBN: 978-9937-8069-7-8.
  • Joshi SK (2011) Occupational safety and health in Nepal. International Journal of Occupational Safety and Health. 1:1-2.
  • Lansang MA & Gulliford M eds. (2011). Oxford textbook of Public Health, 5th edition, Oxford University press, Inc., New York. ISBN-13: 9780199218707.
  • Mansdorf SZ eds. (2019). Handbook of occupational safety and health, 3 rd edition. ISBN:9781118947265. https://doi.org/.002/9781119581482.
  • Rupakheti D, Pradhan PM & Basel P (2018). Occupational safety and health vulnerability among brick factory workers in Dhading district, Nepal. Annuals of Global Health. 2018;84(3):481-487. doi: 10.29024/aogh.2313.
Occupational Health, Policy and Legal Frameworks

Key Principles in Occupational Health and Safety

  • 1.1 Core OHS Principles
  • 1.2 Right and duties (worker’s right, employers’ responsibilities, Government duties)
  • 1.3 Occupational health and safety policy within the enterprise
  • 1.4 National programs for occupational health and safety
  • 1.5 Global status of occupational health and safety

Legal framework for Occupational Health and Safety

  • 2.1 Organizational and institutional structure
  • 2.2 Management of occupational health and safety a. Management commitment and resources b. Worker’s participation c. Training d. Organizational aspects (setting priorities, planning and development activities, place of OHS management in the enterprise) e. Performance measures f. The OHS management cycle

National Policy on Occupational Health and Safety

  • 3.1 General aims and principles
  • 3.2 Policy formulation and policy review (National Health Policy 2075, OHS policy 2076)
  • 3.3 NHSP II & NHSP III, Climate Change Policy 2076, National standards on noise and light at workplace)
  • 3.4 Policy instruments a. National Laws, labor codes and regulations (Labor Act 2074, chapter 12, Labor Regulations 2075, Infectious disease act 2020, Public health Act 2074 –Section 44, Environmental protection act 2076, motor vehicle and transport act) b. Roles and obligations of the competent authority c. Legislation enforcement, and collective agreement (Social security plan procedural guidelines 2075, SDG 8.8 decent work, international labour standard on OHS ) d. Policy coordination e. Education and training
  • 3.5 Ethical and legal issues

Global Legal and Policy Context of Occupational Health

  • 4.1 Standard setting bodies
  • 4.2 Workers compensation
  • 4.3 Trade union Legislation
  • 4.4 Employment Standards
  • 4.5 Personnel health resources in the workplace
  • 4.6 Enterprise involvement in the community
  • 4.7 Informal economic sector

Further reading

  • Alli BO (2008). Fundamentals principles of occupational health and safety. 2 st edition. International Labour Office, Geneva. ISBN 978-92-2-120454-1. pp: 3-9, 17-21, 27-35, 111-118.
  • AW TC, Gardiner K, Harrington JM, Whitaker S….(2007). Occupational health. Blackwell
  • Publishing Ltd., UK. ISBN-13: 978-1-4051-2221-4. pp: 307-336.
  • Friend MA & Kohn JP (2007). Fundamentals of Occupational Safety and Health; 4 th edition. Government Institute Publication, USA. pp: 1-37, 188-192, 215-226.
  • HSP-II (2013/14). Nepal Health Sector Programme-2 (NHSP-2) Results Framework Indicators. Ministry of Health and Population, Government of Nepal, Kathmandu.
  • Lucchini GR & London L (2014). Global 0ccupational health: Current challenges and the need for urgent action. Annals of Global Health. 80:251-256
  • Nepal Labour Act (2074). https://nbsm.com.np/assets/kcfinder/upload/files/Nepal%20Labour%20Law.NBSM(1).pdf.
  • NHSSP–III (2017). Nepal Health Sector Support Programme III. Ministry of Health and Population, Government of Nepal, Kathmandu.
  • MoFE (2019). Climate change policy. Ministry of Forests and Environment, Government of Nepal, Kathmandu.
  • Schneid TD eds. (2018). Safety law: Legal aspects in occupational safety and health. CRC press, New York. ISBN: 13: 978-0-8153-5496-3. pp: 149-173.
  • Schneid TD eds. (2018). Safety law: Legal aspects in occupational safety and health. CRC press, New York. ISBN: 13: 978-0-8153-5496-3. pp: 149-173.
  • Websites:
  • Fundamentals of Industrial Hygiene – National Safety Council. OHS series:
  • https://chesapeakesc.org/course/fundamentals-of-industrial-hygiene-national-safety-council/.
  • International Labour Organization Encyclopedia of Occupational Health & Safety:
  • https://iloencyclopaedia.org/.
  • World Health Organization: Occupational Health: https://who.int/health-topics/occupational-
  • health.
  • International Labour Organization: https://ilo.org/.
Occupational Health Safety

Occupational Hazards

  • 1.1 Concept and classification of occupational hazards
  • 1.2 Design and control requirements for reducing risks from mechanical, fixed plant and mobile plant
  • 1.3 Dangerous properties of chemical and their health effects
  • 1.4 Occupational diseases due to metals & dust, fumes, electricity and hazardous substances
  • 1.5 Ergonomics, constituents of ergonomics, application of ergonomics for safety & health
  • 1.6 Chemical safety including dangerous goods and material safety data sheets.
  • 1.7 Occupational hazards: physical(noise, heat, radiation, light, vibration), biological, psychosocial, hazards associated with vehicles and transport
  • 1.8 Basic engineering principles of safe design.

Occupational Health and Safety Management Systems

  • 2.1 Occupational and safety management systems.
  • 2.2 Economics of occupational health and safety
  • 2.3 Relationship of occupational health and safety to other management goals
  • 2.4 Management system frameworks and essential components of a work/occupational health and safety management system
  • 2.5 Basic occupational health services
  • 2.6 Roles, responsibilities and functions of occupational health and safety staff.
  • 2.7 Management review and the concept of continual improvement
  • 2.8 Measurement of occupational health and safety performance and industry benchmarking
  • 2.9 Auditing of OHS management systems

Leadership in Occupational Health and Safety

  • 3.1 Introduction to workplace health and safety leadership. i. Core concepts of leadership ii. Organizational culture iii. Managing teams. iv. Stakeholder engagement
  • 3.2 Safety and health hazard management i. Planning and performance measurement ii. Emergency management iii. Governance and due diligence
  • 3.3 Occupational workplace health and safety leadership in practice
  • 3.4 Leadership role in OHS research promotion

Occupational Health and Safety Risk Management

  • 4.1 Introduction to occupational health and safety risk management
  • 4.2 International standard of risk management
  • 4.3 Incident causation and investigation processes
  • 4.4 Communication and consultation
  • 4.5 Risk identification
  • 4.6 Risk analysis
  • 4.7 Risk evaluation.
  • 4.8 Risk management
  • 4.9 Monitoring and evaluation
  • 4.10 Incident and emergency management.

Further reading

  • Alli BO (2008). Fundamentals principles of occupational health and safety. 2nd edition. International Labour Office, Geneva. ISBN 978-92-2-120454-1. pp: 51-56, 81-88, 349-358
  • AW TC, Gardiner K, Harrington JM, Whitaker S….(2007). Occupational health. Blackwell Publishing Ltd., UK. ISBN-13: 978-1-4051-2221-4. pp: 13-61.
  • Friend MA & Kohn JP (2007). Fundamentals of Occupational Safety and Health; 4 th edition. Government Institute Publication, USA. Pp: 127-144, 188-192.
  • Healey BJ & Walker KT (2009). Introduction to occupational health in public health practice. 1 st edition. Jossey Bass Publishing, San Francisco, USA. 978–0–470–44768–0. pp: 27-38, 179-188, 279-292.
  • Mehrdad R. Frontiers in occupational health and safety, introduction to occupational health hazards. International Journal of Occupational and Environmental Medicine 2020;11:59-60. doi.org/10.15171/ijoem.2020.1889.
  • OSHA (2016). Recommendation practices for safety and Health Programs in Construction. Occupational Safety and Health Administration (OSHA). United States Department of Labour, USA. pp: 2-29.
  • Reese CD (2017). Occupational safety and health: Fundamentals principles and philosophies. CRC Press, New York. ISBN: 13: 978-1-138-03505-8. pp: 13-26, 29-34, 103-106.
  • Stranks J (2006). The health & safety handbook: A practical guide to health and safety law, management policies and procedures. Ist edition. British Library Cataloguing in Publication Data. ISBN 0 7494 4392 8. pp: 1-27, 249-314.
  • Websites
  • Fundamentals of Industrial Hygiene – National Safety Council. OHS series:
  • https://chesapeakesc.org/course/fundamentals-of-industrial-hygiene-national-safety-council/.
  • International Labour Organization Encyclopedia of Occupational Health & Safety:
  • https://iloencyclopaedia.org/.
  • World Health Organization: Occupational Health: https://who.int/health-topics/occupational-
  • health.
  • International Labour Organization: https://ilo.org/.
Occupational Hygiene

Introduction to Occupational Hygiene

  • 1.1 Introduction to occupational hygiene (definition, history, development, and importance)
  • 1.2 Identification of workplace hazards
  • 1.3 Monitoring of occupational hazards

Identification and Assessment of Hazards

  • 2.1 Identification and Assessment and control of hazards a. physical b. biological c. chemical d. psychosocial

Evaluation of Occupational Hazards

  • 3.1 Fundamental concepts on: 3.1.1 Measurements (gases, vapors and dust, and noise) 3.1.2 Principles of assessment of vibration, lighting, and non-ionizing radiation and ionizing radiation. 3.1.3 Hygiene standards and occupational exposure limits 3.1.4 Biological monitoring and health surveillance
  • 3.2 Occupational Hygiene Sampling 3.2.1 Occupational hygiene sampling tools 3.2.2 Designing an exposure monitoring program 3.2.3 Exposure assessment and monitoring strategies 3.2.4 Reassessment of exposures 3.2.5 Similar Exposure Groups (SEGs) 3.2.6 Statistical tools to analyze exposure data

Occupational Hazards Control

  • 4.1 Hierarchy of hazards control
  • 4.2 Physical hazard control options including noise, vibration, thermal, light & radiation
  • 4.3 Biological and microbiological hazard control measures including vaccination, personal protective equipment, disinfection, containment, and isolation
  • 4.4 Chemical hazard control options, particularly ventilation design and other engineering controls including ventilation assessment techniques
  • 4.5 Implementation of controls (installation, commissioning, re-evaluation, maintenance) including the selection of appropriate personal protective equipment
  • 4.6 Engineering and technological controls to hazards

Further reading

  • Alli BO (2008). Fundamentals principles of occupational health and safety. 2nd edition. International Labour Office, Geneva. ISBN 978-92-2-120454-1.
  • AW TC, Gardiner K, Harrington JM, Whitaker S….(2007). Occupational health. Blackwell Publishing Ltd., UK. ISBN-13: 978-1-4051-2221-4. Pp: 115-184
  • Friend MA & Kohn JP (2007). Fundamentals of Occupational Safety and Health; 4 th edition. Government Institute Publication, USA. Pp: 1-20, 101-126, 317-364.
  • GlaxoSmithKline (2010). Basic principles in occupational hygiene: Student manual (website:http://ohlearning.com/community/files/KA02_v2- 0_18Oct10_Student_Manual.pdf). pp: 11-16, 51-56, 139-148, 166-179.
  • Handbook of Occupational Hazards and Controls for Healthcare Administrative Workers (2011). https://open.alberta.ca/dataset/c93b8ca7-1ad4-4b91-8f73- c913b2932073/resource/b04f8dd6-0bed-4fc1-9ca5-6891e6e1733e/download/ohs-wsa- handbook-healtcare-admin-workers.pdf. Pp: 5-36.
  • Reese CD (2017). Occupational safety and health: Fundamentals principles and philosophies. CRC Press, New York. ISBN: 13: 978-1-138-03505-8. Pp: 201-225.
  • Stranks J (2006). The health & safety handbook: A practical guide to health and safety law, management policies and procedures. Ist edition. British Library Cataloguing in Publication Data. ISBN 0 7494 4392 8.
  • Websites
  • Fundamentals of Industrial Hygiene–National Safety Council. OHS series:
  • https://chesapeakesc.org/course/fundamentals-of-industrial-hygiene-national-safety-council/.
  • International Labour Organization Encyclopedia of Occupational Health & Safety:
  • https://iloencyclopaedia.org/.
  • World Health Organization: Occupational Health: https://who.int/health-topics/occupational-
  • health.
  • International Labour Organization: https://ilo.org/.
  • Encyclopedia of Occupational Health and Safety: Occupational Hygiene:
  • http://ilocis.org/documents/chpt30e.html.
Food Systems and Health

Food System Approaches to Food Safety

  • 1.1 Sustainable food system and its drivers
  • 1.2 Contribution of food system approaches
  • 1.3 Challenges of future food safety under the risks of socio-economic, environmental and pandemic.
  • 1.4 Mapping the food system

Food Safety and Nutrition

  • 2.1 Food safety and standards
  • 2.2 Diet and nutrition
  • 2.3 Novel methods for the evaluation of food adulteration
  • 2.4 Impacts of environmental degradation and pandemic on food safety

Impacts of socio-economic development on Food Systems and health

  • 3.1 Socio-economic aspects of food safety
  • 3.2 Food, individual differences, and society and culture
  • 3.3 Future of national, regional and global food systems
  • 3.4 Impacts of socio-economic development on food systems

Food and Health in Nepal

  • 4.1 Food system of Nepal
  • 4.2 Nutrition and food-borne disease
  • 4.3 Environmental and pandemic risks on sustainable food security in Nepal
  • 4.4 Strategies for sustainable food systems and human health under twin challenges of environmental change and pandemic
  • 4.5 Policy and economic influences on food systems and human health
Ecotoxicology and Health Risk Assessment

Health Risk Assessment

  • 1.1 Introduction to environmental and occupational health risk assessment
  • 1.2 Hazard identification and dose-response assessment
  • 1.3 Health risk assessment methods and framework
  • 1.4 Risk characterization
  • 1.5 Concept of risk communication and risk management
  • 2.1 Application of health risk assessment to develop policies to protect public health
  • 2.2 Development of public health risk management strategies
  • 2.3 Legal frameworks and choice of health risk assessment methods in some developed and developing countries

Fundamentals of Toxicology

  • 3.1 Toxicology and ecotoxicology
  • 3.2 Chemical toxicity, toxic effects of a few environmental/occupational pollutants including toxicology of nanomaterial particles
  • 3.3 Target organ toxicity (hepatotoxicity, nephrotoxicity, pulmonary toxicity, neurotoxicity, cardiovascular toxicity, hematotoxicity, ocular toxicity, dermal toxicity, reproductive toxicity).

Toxicity and its Measurements

  • 4.1 Genotoxicity, carcinogenicity of chemical, toxicokinetic and toxicodynamic, and key steps of toxicokinetics
  • 4.2 Threshold vs. non-threshold and non-carcinogenicity vs. carcinogenicity concept
  • 4.3 Toxicity testing and application of knowledge of toxicology to develop regulations and standards to protect public health
  • 4.4 Identify the relationship between ecotoxicity and risk assessment

Further reading

  • Barnes, D. G. & Dourson, M. (1998). Reference dose (RfD): Description and use in health risk assessments. Regulatory Toxicology and Pharmacology, 8:471-486.
  • Burcham, P. C. (2014). An Introduction to Toxicology. Springer Publishing. ISBN 978-1-4471-
  • 5553-9
  • enHEALTH (2012). Environmental Health Risk Assessment: Guidelines for Assessing Human Health Risks from Environmental Hazards. Available online: https://health.gov.au/internet/main/publishing.nsf/content/A12B57E41EC9F326CA25 7BF0001F9E7D/$File/Environmental-health-Risk-Assessment.pdf.
  • Prüss-Üstün. A., Mathers, C., Corvalan, C. & Woodward, A. (eds) (2003). Introduction and methods: assessing the environmental burden of disease at national and local levels. Geneva, World Health Organization (WHO). Environmental Burden of Disease Series, No. 1.
  • Richards, I. S. & Bourgeois, M. (2014). Principles and Practice of Toxicology in Public Health. Second Edition. Jones & Bartlett Learning.
  • Risk Communication. Useful Terms and Definitions for Explaining Risk. Environmental Protection Agency (EPA): Available: https://semspub.epa.gov/work/HQ/174688.pdf.
  • Russell, M. & Gruber, M. (1987). Risk assessment in environmental policymaking. Science, 236(4799): 286-290
  • Smith, K. R. & Ezzati, M. (2005). How environmental health risks change with development of the epidemiologic and environmental risk transitions revisited. Annuals Reviews on Environment Resources; 30:291–333.
  • WHO (2009). Environmental Health Criteria 239: Principles for Modelling Dose-Response for the Risk Assessment of Chemicals. World Health Organization (WHO), Geneva. ISBN 978 92 4 157239 2.
  • Websites:
  • Integrated Risk Information System: Integrated Risk Information System | US EPA (https://epa.gov/iris)
  • International Agency for Research on Cancer: IARC monographs on the identification of carcinogenic hazards to humans: Monographs available – IARC Monographs on the Identification of Carcinogenic Hazards to Humans (who.int)
  • World Bank Open data: https://data.worldbank.org/
Biostatistics and Research Methodology

Data Summarization

  • 1.1 Application of statistics in health sciences
  • 1.2 Recognize and give examples of different types of data arising in health sciences studies: Qualitative, quantitative, discrete and continuous variables,
  • 1.3 Concept of cross-sectional, longitudinal, time to event data in health sciences
  • 1.4 Data Presentation in health sciences : Concept of diagrammatical and graphical presentations, frequency distribution, stem and leaf display, cross-tabulations
  • 1.5 Descriptive statistical measures applied in health sciences : Appropriate use of mean, median and mode; range, quartile deviation, standard deviation, coefficient of variation; shape of data distribution, box and whisker plot, concept of normal probability plots and outliers
  • 1.6 Association of categorical variables: Prevalence, incidence, odds ratio, relative risk, risk ratio, attributable risk

Inferential Statistics

  • 2.1 Fundamental concepts of probability, measurement of sensitivity, specificity, positive predictive value, negative predictive value
  • 2.2 Sampling distribution: Concept of sampling, standard error, sampling distribution of mean and proportion, concept of central limit theorem
  • 2.3 Estimation: Concept of point and interval estimation, confidence interval estimation of mean, proportion and their interpretations, sample size estimation
  • 2.4 Testing of hypothesis: concepts, null and alternative hypothesis, type I and type II errors, level of significance, power of the test, decision making in testing of hypothesis using both p-value and critical value approach
  • 2.5 Parametric tests: Z test and t-test for single mean, test of significance of one and two proportions, independent t-test, paired t-test, variance ratio test, one way ANOVA, their assumptions; concept for applying nonparametric tests
  • 2.6 Non-parametric tests: Chi-square test of independence of attributes and Fisher’s exact test
  • 2.7 Correlation and regression analysis: Pearson’s correlation coefficient and its significance test, simple linear regression model, concept of overall fit of the model, concept of test of significance of regression coefficient, problem specific interpretations

Computational Statistics

  • 3.1 Data quality management for health related large data sets: Data coding, entry, editing, cleaning, assessing outliers (if any), consistency checking using statistical software
  • 3.2 Graphical and Descriptive presentation of data using statistical software
  • 3.3 Cross-tabulations using statistical software
  • 3.4 Parametric and non-parametric statistical tests using statistical software
  • 3.5 Correlation and regression analysis using statistical software
  • 3.6 Interpretations of software generated outputs

Research Methodology

  • 4.1 Health research philosophical perspectives
  • 4.2 Theoretical and methodological foundations of biomedical research
  • 4.3 Meaning, objectives, need, utility, research methods, deductive and inductive theory, characteristic of scientific method, research language, concept, constructs, research process
  • 4.4 Research topic selection, research question and research problem statement
  • 4.5 Research hypothesis, linkage between research hypothesis and statistical hypothesis
  • 4.6 Review of literature: Effective literature search and citing biomedical documents and sources Finding public health information: WHO Library, PubMed, Cochrane Library; Citations and referencing, Scopus, citation index, impact factor, H-index
  • 4.7 Research Design in biomedical researches : Observational study design: ecological study design, cross-sectional, case control, cohort; Experimental study design: randomized controlled trials
  • 4.8 Preparation of research /thesis proposal, ethical approval, components of research report/thesis
  • 4.9 Fundamental concepts of systematic review and meta-analysis
  • 4.10 Critical appraisal of research publication: Critical appraisal of the medical literature
  • 4.11 Evaluate the strengths and limitations of various methods and techniques including those that maximize validity and reliability in research
  • 4.12 Scientific writing
Environmental Epidemiology

Further reading

  • Aryal, U. R. & Shrestha, Y. M. (2021). Biostatistics for Medical Sciences. 3rd edition, Makalu Publications.
  • Bonita, R., Beaglehole, R. & Kjellström, T. (2006). Basic Epidemiology, 2nd edition. World Health Organization. https://apps.who.int/iris/handle/10665/43541.
  • Fletcher, H. R., Fletcher, S. W. & Fletcher, G. S. (2019). Clinical Epidemiology: The Essentials. Wolters Kluwer Health/Lippincott Williams & Wilkins.
  • Keil, A.P. & Edwards, J. K. (2019). Bias in environmental epidemiology. University of North Carolina at Chapel Hill. p288-300. doi: 10.1016/B978-0-12-409548-9.10660-8
  • Kreis, I. A., Busby, A. Leonardi, G. Meara, J., Murry, V. eds. (2013). Essentials of Environmental Epidemiology for Health Protection: A Handbook for Field Professionals. Oxford University Press.
  • Merrill, R. M. (2008). Environmental Epidemiology: Principles and Methods. Jones & Bartlett Learning, Massachusetts, USA.
  • National Research Council (1991). Environmental Epidemiology. Public Health and Hazardous Wastes. Vol. 1. National Academies Press. doi.org/10.17226/1802.
  • Page, M. J., Joanne, E. M. & Julian, P. T. H (2018). Tools for assessing risk of reporting biases in studies and syntheses of studies: a systematic review. BMJ Open 8.3: e019703. doi.org/10.1136/bmjopen-2017-019703.
  • Paul, W. (eds.) (2006). Environmental Epidemiology: Understanding Public Health. Open University Press McGraw-Hill Education.
  • Rothman, K. J., Sander, G. & Timothy, L. L. eds. (2008). Modern Epidemiology. Lippincott Williams & Wilkins, USA.
  • Websites:
  • https://apps.who.int/iris/handle/10665/50841
  • https://ipcc.ch/
  • https://iseepi.org/
Occupational Epidemiology

Further reading

  • Aryal, U. R. & Shrestha, Y. M. (2021). Biostatistics for Medical Sciences. 3rd Edition, Makalu Publication, Nepal.
  • Fletcher, G. S. (2019). Clinical Epidemiology: The Essentials. Lippincott Williams & Wilkins,
  • Harvey, C., Neil, E. P. & David, K. (2009). Research Methods in Occupational Epidemiology. Published to Oxford Scholarship.
  • Katherine, M. V. (2013). Current Topics in Occupational Epidemiology. Published by Oxford University Press, Oxford. ISBN: 978-0-19-968390-1.
  • Keil, A. P. & Jessie, K. E. (2019). Bias in Environmental Epidemiology. doi/ 10.1016/B978-0-12- 409548-9.10660-8.
  • Monson, R. R. (1990). Occupational Epidemiology. Boca Raton: CRC press.
  • Rothman, K. J., Sander, G. & Timothy, L. L. eds. (2008). Modern Epidemiology. Lippincott Williams & Wilkins.
  • Rothman, K., Lash, T. L. (2020). Modern Epidemiology. Lippincott Williams & Wilkins (LWW).
  • Van den B., Jan, B. J. R (Eds.) (2013). Epidemiology: Principles and Practical Guidelines. Springer Dordrecht Heidelberg New York London.
  • Websites:
  • http://member.wnso.org/drsunilkj/publications.html
Effects of Environmental Degradation on Human Health and Future Consequences

Environmental Health · 2023 · Original on blog ↗

Introduction:

Environmental degradation and its impact on human health have been a serious global issue for the last few decades. Environmental degradation is both anthropogenic as well as non-anthropogenic. The two main reasons include the Industrial Revolution and a population explosion. There are mainly three main types of environmental degradation which are land/soil degradation, water degradation, and air degradation. WHO estimates anthropogenic factors contribute to a significant percentage of all environmental degradation in recent years with environment-related deaths contributing almost 23 % of global deaths (Prüss-Üstün et al., 2006).

Relationship between environmental degradation and human health: 

Human beings rely on the environment heavily for various resources as well as ecosystem-related services such as clean air, water, and food. There is an intricate relationship between human beings and the environment. A multitude of health-related problems occur due to environmental degradation because of disruption in essential services. Environmental degradation has immediate, short term and long-term effects on human health. Immediate effects are generally caused by air pollution affecting the respiratory and cardiovascular systems. 

Current effects of environmental degradation on the human health:

Air pollution: Air pollution is a major environmental hazard and is attributed to in 2012, ambient air pollution was responsible for 3.7 million deaths, representing 6.7 % of the total deaths with About 88% of these deaths occurring in low and middle-income countries. (WHO, 2014). Increasing levels of air pollution, driven by factors like industrial emissions, vehicular exhaust, burning fossil fuel, and deforestation with an increase in greenhouse gases including carbon monoxide, carbon dioxide, sulfur dioxide, nitrogen oxides, and hydrocarbons have been linked to respiratory, cardiovascular, and neurological disorders. Inhalation of particulate matter and toxic gases can result in respiratory infections, asthma, lung cancer, and chronic illnesses. Recently studies in China, Italy, and the United States have shown an association between air pollution and the transmission of COVID-19 (Zhang et al., 2020). 

Contaminated water and waterborne diseases; water scarcity

Environmental degradation often results in water contamination by various means including industrial waste, agriculture runoff, and poor and improper/ unhealthy sanitation practices. In 2022, at least 1.7 billion people used a drinking water source contaminated with feces globally. Consuming contaminated water may result in individuals suffering from various waterborne diseases such as diarrhea, cholera, typhoid, and polio which are estimated to cause approximately 505 000 diarrhoeal deaths each year (Shayo et al., 2023). Depletion of freshwater resources and high salinity of water pose significant problems, especially for women and children in low-income countries.

Loss of biodiversity and emerging zoonotic diseases:

Degradation of the existing habitat and increasing human encroachment activities in the wildlife, transmission of zoonotic diseases is facilitated. biodiversity loss appears to increase the risk of human exposure to both new and established zoonotic pathogens. Multiple human-mediated environmental changes and activities have been found to be key drivers of zoonotic disease emergence, promoting the conditions in which zoonoses can emerge e.g. Ebola virus, SARS, and most recently Covid-19 pandemic (Keesing & Ostfeld, 2021).

Food security and malnutrition:

Environmental degradation causes disruption in the agricultural system heralding in decreasing yield of crops, food shortages, and resultant escalation of food prices. This contributes to malnutrition, both overnutrition and undernutrition having long-term impacts on human health. In recent years, in developing countries, the rapid growth of food production has also a concern for having a negative impact on the environment due to the overuse of various fertilizers, pesticides, and insecticides (Subramaniam & Masron, 2021).

Future consequences of environmental degradation on Human Health

Climate change and extreme weather events:

Environmental degradation results in worsening climate change with a resultant increase in the frequency and intensity of extreme weather events such as hurricanes, floods, droughts, and heat waves. These results in disruptions to food and water security, worsening air quality, the rise of vector-borne diseases, exacerbations of chronic disease, mental health stressors, and worker injury risks. It is estimated to cause almost 60,000 deaths per annum globally (Leal Filho et al., 2022). 

Environmental toxins and chronic diseases, cancers:

Continued environmental degradation makes human beings prone to continuous exposure to harmful substances such as heavy metals, pesticides, and persistent organic pollutants. According to the Global Alliance on Health and Pollution, exposure to toxic air, water, soil, and chemical pollution is the largest environmental cause of premature death, with an estimated 8.3 million deaths globally in 2017. Although much is known about the substances that result in environmental hazards impacting human health, many challenges exist due to various factors.  Overt dependence on substances and energy sources associated with toxins, difficulty in assessing the actual environmental impact, and vested interests of stakeholders are the prime factors. Neurodegenerative disorders including Parkinson’s disease and amyotrophic lateral sclerosis have been linked to various toxins including rotenone and permethrin used as insecticides. Studies in low-income countries have demonstrated an increase in infectious diseases attributed to environmental pollutants and the resultant poor immune status of people (Sarah et al., 2022).  According to an analysis published by the International Agency for Research on Cancer (IARC), 120 chemicals have been identified as “known” carcinogens; another 81 have been identified as “probable” carcinogens; and another 299 as “possibly'' carcinogenic. Well-known carcinogens are asbestos, nickel, cadmium, radon, vinyl chloride, benzidine, and benzene. Besides, an association between endocrine and reproductive disorders with environmental toxins has also been noted (Cohen & Jefferies, 2019).

Mental health impacts:

Escalation in environmental degradation has been associated with varying degrees of mental health issues in humans. Climate change, deforestation, and pollution have a negative impact on mental health as demonstrated in various studies. It is generally noted that individuals of low socioeconomic status or indigenous populations are in psychosocial distress (Wigand et al., 2022).

Displacement, migration, socioeconomic and health impacts:

Although migration can be an adaptive strategy to climate changes, migration due to environmental changes is complex and its impact differs variably on a multitude of factors having direct or indirect effects. The migrating or host communities may be subjected to the long-term effects of migration in geomorphological and population health contexts (Schwerdtle et al., 2018).

Multidimensional and disproportionate impact on vulnerable populations:

Climate changes and environmental degradation have resulted in explicit inequalities among the vulnerable and marginalized population compared to the affluent in exacerbating all health consequences. Limited economic and technological resources imply increased impacts on this population to cope with the risks of climate change (Khine & Langkulsen, 2023).  Environmental degradation has a significant effect in difficulty in addressing the poverty issues in the impoverished society and results in difficulty in achieving the desired goals. 

Socio-economic impact

Environmental degradation can have significant socioeconomic impacts. When the environment is degraded, not only agriculture, and farming but also other sectors including tourism are affected resulting in economic loss. Depletion of natural resources can disrupt the supply chain and increase prices of goods and services. In the long run, this results in a significant burden on healthcare expenditure which further continues the vicious cycle.

Mitigating the Effect of environmental degradation on human Health:

Climate change and environmental degradation have profound impacts on human health and need to be properly addressed in a multifaceted approach. Adopting a One Health approach, enhancing cross-sector, transboundary communication, as well as collaboration among multiple stakeholders is prudent in minimizing the risks related to environmental degradation. The severity of the health risks depends on the ability of the existing public health system to adequately intervene based on the local resources. 

To mitigate the existing and future consequences of environmental degradation, it is imperative to have early preparedness, develop climate resilient infrastructure and sustainable practices, use renewable sources of energy, reduce emissions of short-lived climate pollutants, address pollution issues as well as public education, reinforcing controlling strategies, reforestation, crop rotation as well as reducing exposure to harmful pollutants.  Besides, it is essential to address environmental health disparities and risks.

Conclusion: 

Government Laws and policies should be developed and strictly implemented prioritizing both the environment and human health. International cooperation among different countries and partners is essential to achieve desired goals and its sustainability. A strong environmental education (EE) system with the responsiveness of humans towards nature for sustainability and environmental security is the need of time.

References:

Cohen, L., & Jefferies, A. (2019). Environmental exposures and cancer: Using the precautionary principle. Ecancermedicalscience, 13, ed91. https://doi.org/10.3332/ecancer.2019.ed91

Keesing, F., & Ostfeld, R. S. (2021). Impacts of biodiversity and biodiversity loss on zoonotic diseases. Proceedings of the National Academy of Sciences, 118(17), e2023540118. https://doi.org/10.1073/pnas.2023540118

Khine, M. M., & Langkulsen, U. (2023). The Implications of Climate Change on Health among Vulnerable Populations in South Africa: A Systematic Review. International Journal of Environmental Research and Public Health, 20(4), 3425. https://doi.org/10.3390/ijerph20043425

Leal Filho, W., Balasubramanian, M., Purcell, W., & Paz, S. (2022). Handling the health impacts of extreme climate events. Environmental Sciences Europe, 34(1), 45. https://doi.org/10.1186/s12302-022-00621-3

Prüss-Üstün, A., Corvalán, C., & World Health Organization. (2006). Preventing disease through healthy environments: Towards an estimate of the environmental burden of disease. World Health Organization.

Sarah, R. H., Shariful Islam, M., Zamiur Rahaman, M., Afrin, S., Rahman, M., & Saif-Ur-Rahman, K. M. (2022). Pivotal role of environmental toxicants on developing infectious diseases in LMICs: A protocol for a systematic review and meta-analysis. BMJ Open, 12(7), e058927. https://doi.org/10.1136/bmjopen-2021-058927

Schwerdtle, P., Bowen, K., & McMichael, C. (2018). The health impacts of climate-related migration. BMC Medicine, 16(1), 1. https://doi.org/10.1186/s12916-017-0981-7

Shayo, G. M., Elimbinzi, E., Shao, G. N., & Fabian, C. (2023). Severity of waterborne diseases in developing countries and the effectiveness of ceramic filters for improving water quality. Bulletin of the National Research Centre, 47(1), 113. https://doi.org/10.1186/s42269-023-01088-9

Subramaniam, Y., & Masron, T. A. (2021). Food security and environmental degradation: Evidence from developing countries. GeoJournal, 86(3), 1141–1153. https://doi.org/10.1007/s10708-019-10119-w

Wigand, M. E., Timmermann, C., Scherp, A., Becker, T., & Steger, F. (2022). Climate Change, Pollution, Deforestation, and Mental Health: Research Trends, Gaps, and Ethical Considerations. GeoHealth, 6(11), e2022GH000632. https://doi.org/10.1029/2022GH000632

Zhang, Z., Xue, T., & Jin, X. (2020). Effects of meteorological conditions and air pollution on COVID-19 transmission: Evidence from 219 Chinese cities. The Science of the Total Environment, 741, 140244. https://doi.org/10.1016/j.scitotenv.2020.140244

Noise: Types, Sources, Safety Limits and Control in Nepal

Occupational Health · 2023 · Original on blog ↗

Noise:  Types

Impulsive noise:

  • High intensity for low duration (firecracker, nuclear/mining explosion, gunshots, hammer blow, etc.)
  • Characterized by noise levels more than 40dB with a duration of less than a second

 Continuous noise:

  • produces continuously
  • Noise generated by a machine that keeps running without interruption, e.g. generator, vehicle, etc.

Intermittent noise:

  • Noise generated with a break. E.g. drilling machines in carpenter work, grinders, etc.

Major Sources

Natural sources – lightening, wind, rainfall, etc

Man-made sources

  • Domestic / home appliances
  • Industries/factories
  • Transportation
  • Occupational
  • Social and religious events
  • Public announcement

SAFETY LIMITS- How loud is too loud?

 The maximum exposure limit is 85dB for eight hours a day

WHO guidelines

 The WHO guidelines for community noise recommend

  • less than 30 dB(A) in bedrooms during the night for a sleep of good quality
  • less than 35 dB(A) in classrooms to allow good teaching and learning conditions

 The WHO guidelines for night noise recommend less than 40 dB(A) of annual average outside of bedrooms to prevent adverse health effects from night noise.

Impacts of Noise Pollution

The degree of harmful effects depends on its

  • intensity
  • exposure time
  • location of a person
  • nature of the work performed by a person and his individual characteristics

Control over Noise Pollution

  • Legal / Administrative control
    • Airports, railway stations, and bus parks should be away from residential areas
    • The “No horn” policy should be strictly implemented in areas like schools, offices, hospitals, etc.
    • Regulation of using loudspeaker (time-bound)Bann of pressure horn
    • Promote new technology that is noise proof or least noise generating
  • Mechanical / Engineering control
    • Source control – use of sound absorbing materials, acoustic treatment to machine surface, limiting the operational timing
    • Control over vibrations
    • Sound insulation
    • Sound absorption
    • Vibration damping
  • Personal control (sensitization, use of PPE, etc.)

Control techniques

  • Noise can be controlled:
    • Reduce noise at the source
      • Is the most effective to eliminate noise at the source.
      • Noise can be controlled at the source of generation by :Maintenance of automobiles / regular servicing / lubrication of machines, tightening the loose unit / plastic or rubber buffer on furniture to avoid noise cause due to dragging of furnitureControl over vibrations (proper foundations/ rubber padding to reduce shock)Prohibition of uses of loud speakers in habitant zones, pressure horns, ban on unnecessary blowing of hornsTurning off  the engine at rest
      • Modification of manufacturing designs like enclosing the engine parts within proper noise insulating materials
  • Block the path of noise
    • Constructing sound-proof buildings
    • Green belt development (Plantations) : helps in controlling by absorbing high frequency sound waves
  • Increase the path length
    • Moving factories and industries (noisy operations or machinery) away from residential areas / people
  • Protect the recipient
    • Receiver of noise must be safe guarded by using of PPE appropriately
    • Use of ear plugs

Noise Pollution - Management Principles

  • Prevention principle
  • Precautionary principle
  • Polluter pays principle
  • Without an adequate policy framework and adequate legislation it is difficult to maintain an active or successful noise management program
  • The goals are more readily achieved if the interconnected government policies are compatible and coordinated (if issues crosses different areas of government policy)

Legal provisions

  • There are few laws that provide provisions on noise pollution in Nepal
    • The Civil Aviation Act, 1958 provides a provision to control airplane noise
    • The Explosives Act, 1961 is to regulate noise from the use of explosives to some extent
  • But the major noise pollution in the city is from vehicular traffic and textile/metal cutting industries, have not been covered by any legal framework in Nepal
  • Provisions controlling noise from other range of accessories like power tools, air conditioners, amplified music should also be considered
Nepal’s Second Nationally Determined Contribution (NDC)

Climate Policy · 2024 · Original on blog ↗

Nepal’s second Nationally Determined Contribution (NDC) broadens the ambition of the 2016 NDC from policy to adaptation practice at all levels of government in terms of overall sectoral coverage and net emission reduction contributions. Nepal’s NDC emphasizes health-specific measures as health in adaptation, health co-benefits, health in mitigation, climate integration, gender equity, and social inclusion. The major key policy provisions to address health risks of climate change in Nepal's NDC include: ​

Increase the reliable supply of clean energy: Nepal aims to increase the quantity, quality, reliability, and affordability of electricity access from renewable sources to reduce reliance on fossil fuels and improve air quality. ​By 2030, it aims to expand clean energy generation from approximately 1,400 MW to 15,000 MW.
Strengthen transmission and distribution links: The NDC emphasizes the need to strengthen transmission and distribution links to support the upscaling of e-cooking, e-heating, e-transport, and charging stations, promoting the use of clean energy sources and anticipated co-benefits in terms of reducing air pollutant emissions and enhancing energy security and energy equity. It aims for 15% of total energy demand to come from clean sources, with electric vehicles accounting for 90% of all private vehicle sales.
Promote public electric mobility: The NDC includes policies to promote public electric mobility through policy incentives, including subsidy policies and other financial mechanisms, to reduce air pollution from transportation. By 2030, it aims to develop 200 km of the electric rail network to support public transportation and the mass movement of goods. ​

Improve waste management: Nepal aims to create an enabling environment for treating industrial and municipal waste, including fecal sludge, and promotes waste segregation, recycling, and waste-to-energy programs to reduce the spread of diseases. ​By 2030, it aims to adopt and implement waste segregation, recycling, and waste-to-energy programs in at least 100 municipalities.

Enhance climate-smart agriculture: Nepal’s  NDC also prioritizes the agriculture sector and includes targets like operationalization of institutional structure for climate change management at the local level, establishment of 200 climate-smart villages and 500 climate-smart farms, promotion of inter-cropping, crop, and livestock waste management to reduce carbon emission, and climate-resilient and gender-responsive adaptation plan preparation in all 753 local units. It further aims to reduce the vulnerability of farmers to climate change impacts. Besides, it aims to maintain 45% of the total land area under forest cover by 2030.

Nepal is preparing a detailed NDC implementation framework/ road map to have the targets reached in the stipulated time covering energy, agriculture, forestry, and other land use, waste, industrial processes and product use, urban settlements and tourism, gender equality, and social inclusion, and governance sectors, which in turn aims to address the climate change impacts.

References:

Shrestha, S., Chapagain, P. S., Dhakal, M., Rai, S. C., Islam, M. N., Zhang, Y., Liu, L., & Paudel, B. (2024). Climate change policy instruments in the agriculture sector: From policy to adaptation practice at the local level in Nepal. Geographical Journal of Nepal, 17(01), 1–22. https://doi.org/10.3126/gjn.v17i01.63932

NDC Partnership, Nepal

Nepal's Second Nationally Determined Contributions

UNFCCC. (2020). Nepal's Long-term Strategy for Net-zero Emissions.https://unfccc.int/sites/default/files/resource/NepalLTLEDS.pdf

Challenges and the Way Ahead to Address Soil Pollution in Nepal

Environment · 2026 · Original on blog ↗

Nepal is a country with fragile geology. It has eight physiographic regions with a variability in the soil types due to distinct topographic, climatic, and vegetation characteristics (1). Soils of Nepal are highly variable and are dependent on various environmental parameters such as climate, parent material, organisms, and time factor, reflecting different kinds and degrees of soil formation factors and their combinations (Kang and Tripathi, 1992). Rapid population growth, increasing economies, and anthropogenic pollution have further impacted.

Poor soil fertility, low levels of mineral nutrients in soil, improper nutrient management, and lack of plant genotypes are major constraints contributing to food insecurity, malnutrition, and ecosystem degradation in developing countries like Nepal (2).

Multitudes of factors are posing challenges to soil pollution in Nepal, which can be

  1. Urbanization/ industrialization: With rapid urbanization, alarming population growth, increasing amounts of industrial and commercial waste, harmful chemicals, heavy metals, and vehicular emissions contribute to major causes of soil pollution. Besides, there has been an exponential increase in the generation of plastic waste, nano- and microplastic particles in Nepal in recent years (3).
  2. Indiscriminate use of fertilizers/ pesticides: Pesticides, fungicides, and herbicides are increasingly applied to protect crops in Nepal. More dangerous persistent organic pollutants, such as organochlorine pesticides, Polycyclic aromatic hydrocarbons, have been found in the soils of Kathmandu valley (4). Studies have demonstrated that soils in major urban areas contain several metals/metalloids in concentrations much higher than their background values (e.g., Cd – up to 111 ppm; Cr – up to 309 ppm; Zn – up to 1020 ppm.
  3. Improper waste management: Municipal solid waste management is a concern in Nepal, which does not meet the international standard, posing soil, air, and water pollution. Besides, seepage from landfills and percolation of contaminated water into the soil are commonly encountered (5).
  4. Lack of awareness/education: Education regarding the causes and the impact of soil pollution on human and environmental health is lacking amongst a large population in Nepal, even in urban areas.
  5. Emergences of new pests and diseases: Soil pollution contributes to an imbalance in the ecosystem with resultant increase in new pests and diseases.
  6. Soil degradation/ deforestation/ soil erosion: Massive deforestation for fuel and soil degradation has rendered threats to ecological functions due to erosion, organic matter decline, loss of biodiversity, compaction, sealing, point-source and diffuse contamination, pollution, and salinization (6).

Nepal is a member country advocating for the Sustainable Development Goal (SDG). SDG  target 3.9 entails “By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination”, which currently lacks any measurable indicator for soil pollution.

Soil pollution is a serious issue in Nepal that requires a multisectoral approach and the involvement of various stakeholders for sustainable soil management.

Addressing the soil pollution in Nepal warrants 

  1. Identifying potential sources of soil pollution and their prevention: Preventing soil pollution is the most important aspect due to the large amount of resources required for management of its impact, including remediation.
  2. Maintaining databases of the most affected and vulnerable sites for prompt intervention.
  3. Agricultural sustainability- Resilience and sustainability in agriculture, need-based use of fertilizers and pesticides to increase the yield of crops and decrease pollution. Recently, the agroforestry system has demonstrated increased benefits in the soil quality as well as production when compared to conventional agriculture and monocropping (7).
  4. Implementation of suitable soil erosion measures and mitigations. The impact of climate change can be mitigated by addressing the issues of soil pollution.
  5. Education of the public: Increasing awareness, outreach programmes are crucial for implementing policies.
  6. Strict policies, regulations, enforcement of laws, and monitoring by the government. Besides, a standard of soil quality and contamination limits should be set up.
  7. Remediation and restoration: Prompt remediation and restoration are necessary for areas affected.  Various soil remediation techniques,ues such as phytoremediation, bioremediation, and soil washing,hing can be implemented to restore contaminated soil to a usable state.
  8. Research and development: As Nepal is prone to natural disasters and with increasing anthropogenic factors causing soil pollution, suitable soil remediation technology based on the local conditions is lacking, dated, and the government needs to invest in research and development.

References:

1. Anup KC, Kalu S, editors. Soil Pollution Status and Its Remediation in Nepal2015.

2. K C A. Status of Soil Fertility in a Community Forest of Nepal. International Journal of Environment. 2013;1:56-67.

3. Lamichhane G, Acharya A, Marahatha R, Modi B, Paudel R, Adhikari A, et al. Microplastithe cs in the environment: global concern, challenges, and controlling measures. International Journal of Environmental Science and Technology. 2023;20(4):4673-94.

4. Aichner B, Glaser B, Zech W. Polycyclic aromatic hydrocarbons and polychlorinated biphenyls in urban soils from Kathmandu, Nepal. Organic Geochemistry. 2007;38:700-15.

5. Pandey R. Solid Waste Management Practice and Health Implications: A Case of Kathmandu Metropolitan City, Nepal. Himalayan Review. 2009;35(0):33-47.

6. Chalise D, Kumar L, Kristiansen P. Land Degradation by Soil Erosion in Nepal: A Review. Soil Systems. 2019;3(1):12.7. Atreya K, Subedi BP, Ghimire PL, Khanal SC, Charmakar S, Adhikari R. Agroforestry for mountain development: Prospects, challenges and ways forward in Nepal. Archives of Agriculture and Environmental Science. 2021;6(1):87-99.

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