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Health policy analysis and planning

Public Health (MPH) · Health policy, systems and economics · free study notes for exams, placements and interviews

In short

Health policy analysis asks how health policies are made, by whom, in whose interest, and why they succeed or fail; health planning is the technical exercise of converting a policy's intent into targets, activities, budgets and a timetable. Both are needed because a well-written policy with no implementable plan, or a plan with no political backing, produces no health gain — India's successive five-year plans, the National Health Policy 1983/2002/2017 and the National Health Mission are the standard case material. The topic is examined in MPH, MD Community Medicine and MHA papers on health policy and management, in UPSC and state public-service health-administration papers, and in NET/JRF Social Medicine and Community Health. It is used daily in state Programme Implementation Plan (PIP) preparation, NHM district planning, NGO and donor proposal design, and in policy-analyst roles at NITI Aayog, PHFI, NHSRC, WHO India, the Gates Foundation and large consultancies.

Explained

What health policy is, and the kinds of policy

The policy cycle and the actors who drive it

  1. Problem identification and issue recognition — a condition becomes a *problem* when data, advocacy or a focusing event (an epidemic, a court order, a media exposé) makes it unacceptable.
  2. Agenda setting — Kingdon's *three streams*: a recognised problem, an available policy solution, and favourable politics; when a policy window opens, a *policy entrepreneur* couples the three. Explains why COVID-19 moved oxygen-plant and public-health-cadre proposals in months.
  3. Policy formulation — options generated and appraised on effectiveness, cost, equity, feasibility and acceptability; typically via committees (expert groups, Parliamentary Standing Committee on Health).
  4. Policy adoption / legitimation — Cabinet approval, Act of Parliament, gazette notification, budget line.
  5. Implementation — the stage that fails most often; "street-level bureaucrats" (the ANM, ASHA, medical officer) reinterpret policy at the point of delivery.
  6. Monitoring and evaluation — process, output, outcome and impact indicators; feeds back to reformulation.
  7. Models of decision-making: *rational* (full information, optimal choice — rarely true); *incrementalism* (Lindblom's "muddling through" — small changes on last year's budget, which is how most Indian health budgets actually move); *mixed scanning* (Etzioni, a middle path); *garbage-can* (choices, problems and solutions collide more or less by chance); *bounded rationality* (Simon — "satisficing", not optimising).
  8. Actors: central and state health departments, MoHFW, NITI Aayog, Finance Ministry, state finance departments, the National Medical Commission, professional associations (IMA), private hospital chains, insurers, pharma industry, unions, civil society (Jan Swasthya Abhiyan), media, courts (public-interest litigation under Article 21), development partners (WHO, UNICEF, World Bank).
  9. Health is a State subject in the Seventh Schedule (State List entry 6 — public health, sanitation, hospitals and dispensaries); population control and family planning, medical education and adulteration of foodstuffs and drugs are in the Concurrent List. So almost every national health policy must be implemented through willing states — the central lever is conditional finance.

Frameworks for analysing a policy

Health planning: principles, types and the cycle

Indian health policy and planning: the record

Why policies fail — and how analysis prevents it

Key points

Formulas and examples

Facility gap = required facilities (population ÷ norm population) − functioning facilities
Required staff by norm = (population ÷ norm population per post) × posts per facility; Vacancy % = (sanctioned − in position) ÷ sanctioned × 100
Basic Priority Rating BPR = [(A + 2B) × C] ÷ 3, where A = size of problem (0–10), B = seriousness (0–10), C = effectiveness of intervention (0–10); result 0–100 (PEARL feasibility factors applied as a 0/1 multiplier)
Coverage (%) = persons receiving the service ÷ eligible target population × 100
Target achievement (%) = achieved ÷ planned × 100; Budget absorption (%) = expenditure ÷ approved outlay × 100
Unit cost = total programme cost ÷ number of units of output (₹ per person covered, ₹ per visit)
Projected population at year n, Pn = P0 (1 + r)n, r = annual growth rate (decimal)
Workload Indicators of Staffing Need (WISN): staff required = annual workload ÷ annual workload standard per staff member (then add category and individual allowance factors)

Example 1 — facility and staffing gap for a district plan. A plains district has a projected population of 18,00,000. Norms: 1 sub-centre per 5,000, 1 PHC per 30,000, 1 CHC per 1,20,000. It has 300 sub-centres, 48 PHCs and 11 CHCs.

Example 2 — priority setting with the Basic Priority Rating. Three problems scored by a district team (0–10 scales):

ProblemA (size)B (seriousness)C (intervention effectiveness)BPR = (A+2B)×C ÷ 3
Anaemia in adolescent girls957(9+10)×7 ÷ 3 = 133 ÷ 3 = 44.3
Road traffic injury deaths495(4+18)×5 ÷ 3 = 110 ÷ 3 = 36.7
Dengue outbreaks378(3+14)×8 ÷ 3 = 136 ÷ 3 = 45.3

Example 3 — SMART objective, budget and unit cost. Objective: "Raise full-immunisation coverage of 12–23-month-olds in Block X from 68% to 90% by 31 March 2028."

Example 4 — budget absorption and a population projection. A state's NHM PIP approves ₹1,240 crore; expenditure to 31 March is ₹868 crore.

Example 5 — comparing planning approaches.

FeatureTop-down planningBottom-up planning
Starting pointNational norms and targetsVillage/facility needs assessment
SpeedFast, uniformSlow, iterative
Fit to local needPoor in tribal, urban-slum, hilly areasGood
OwnershipLow at the front lineHigh
Data demandCentral MISLocal records plus community input
Indian exampleVertical programme targets, central normsNHM District Health Action Plan, VHSNC plan
DocumentPeriodCentral commitment
NHP 1983to 2000Universal primary health care; "Health for All"
NHP 2002to 2010-15Public spending 2% of GDP; equity; private and AYUSH role
HLEG on UHC 2011to 20222.5–3% of GDP, free essential drugs, tax-funded UHC
NHP 2017to 20252.5% of GDP, 8%+ of state budgets, two-thirds to primary care, HWCs

Where it is used

Interview questions

Common mistakes

Related topics

Health systems in India: primary, secondary and tertiary care · Health financing and economic evaluation: cost-effectiveness and DALYs · Public health law in India · Global health: WHO, the SDGs and the International Health Regulations · Health management information systems and surveillance · Epidemiology: measures of disease burden

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