Key health and population indicators, anaemia data: What went missing from NFHS-6 findings

The reduction in indicators in NFHS-6 highlights the complex issue of data governance and evidence-based policymaking in India. The government's rationale is data harmonisation—aligning multiple surveys to avoid contradictory figures, such as the differing Total Fertility Rate (TFR) data previously reported by the NFHS (2.0) and the Sample Registration System (1.9). While streamlining data collection reduces survey fatigue and administrative burden, removing critical indicators creates data gaps. For example, specific indicators on family planning counseling, out-of-pocket delivery expenditures (not covered by National Health Accounts), and access to ORS/zinc are no longer in the NFHS, yet they aren't comprehensively tracked elsewhere. For UPSC Mains (GS-2), this underscores the tension between streamlining statistical systems and ensuring robust, granular data to monitor the effectiveness of schemes like Ayushman Bharat.

The findings and omissions in NFHS-6 provide critical insights into India's changing demographic and health profile. The survey indicates an ageing population, with a decline in those under 15 (25.5%) and an increase in those over 60 (12.9%), signaling a gradual closing of India's demographic dividend. Paradoxically, despite increased contraceptive use overall, reliance on modern methods (condoms, IUDs) decreased. Furthermore, the survey reveals a dual burden of malnutrition: an increase in both underweight adults and overweight/obese adults, alongside rising blood sugar levels. The exclusion of anaemia prevalence—previously measured by finger-prick and now shifting to venous blood tests by the National Institute of Nutrition—creates a critical gap in tracking the efficacy of the Anaemia Mukt Bharat strategy, especially since NFHS-5 showed anaemia worsening among children and women.

The survey data points to both progress and persistent challenges in public health interventions. A significant positive is the expansion of health insurance coverage (jumping from 41% to 60.2%), largely driven by the Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY). However, the omission of cancer screening data is concerning given the low uptake reported by NITI Aayog, despite the upgrading of primary health centres into Ayushman Arogya Mandirs designed to provide these exact services. Additionally, the shift in measuring anaemia highlights the challenges of health metrics methodology; while venous blood provides a more accurate clinical picture, breaking the data continuity with previous NFHS rounds hinders long-term trend analysis. Aspirants should note how changes in data collection methodologies impact the evaluation of large-scale health outcomes.