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CM1.7-8 | CM1.7-8 | Health Indicators and Demographic Profile — SDL Guide (Part 3)

Applying Indicators — Interpreting a District Health Profile

The practical skill of reading a district health profile requires synthesising multiple indicators to identify patterns, priority needs, and programme gaps. A community medicine practitioner approaches a district profile systematically:

Step 1 — Assess mortality: Start with IMR, U5MR, and MMR. High IMR + U5MR signals failures in maternal-child health services, nutrition, or immunisation coverage. High MMR relative to IMR suggests that maternal health services are weaker than child health services — the two programmes need different priority allocations.

Step 2 — Assess fertility: TFR above 2.1 in combination with high U5MR indicates the classic high-fertility/high-mortality pattern of early demographic transition — unmet need for family planning is likely high, and child health investments are urgently needed. TFR below 2.1 with rising elderly proportions signals emerging NCD burden and the need to plan for ageing-related services.

Step 3 — Check structural indicators: Institutional delivery rate below 80% is a strong predictor of high MMR — the primary intervention target would be strengthening facility delivery. Sex ratio of girls at birth below 900 indicates son preference and possibly illegal sex-selective practices — PCPNDT Act enforcement is the lever.

Step 4 — Identify the gap between observed and target: Compare district values against SDG targets (MMR <70 by 2030; U5MR <25 by 2030) and against the state average. Districts performing below state average on multiple indicators simultaneously require prioritised resource allocation under the National Health Mission.

This systematic reading of a district health profile is the applied synthesis of the entire CM1.7-8 knowledge base — indicators exist to guide exactly this kind of evidence-informed decision-making at the field level.