Paper: GS-II, Subject: Society and Social Justice, Topic: Social sector- Health, Issue: Issues with OOPE measurement.
Context:
National Health Accounts (NHA) estimates show a steep decline in OOPE as a share of total health expenditure and GDP. However, questions remain on the reliability of these estimates due to methodological and data limitations.
What is Out-of-Pocket Expenditure (OOPE)?
- Direct spending by households on health services not covered by insurance or public health systems.
- It includes spending on medicines, hospitalisation, diagnostics, consultation fees, and transport.
- It often forces families to dip into savings, sell assets, borrow, or forgo care.
- In India, out-of-pocket expenditure (OOPE) by households remains the main source of health financing.
Implications of High OOPE
- Poverty & Distress: Pushes households into debt, asset sales, and poverty traps.
- Education & Livelihood Impact: Children withdrawn from school and women forced into longer working hours.
- Health Inequalities: Poor families often forgo treatment, worsening morbidity and mortality.
Current Estimates and Trends
NHA Data (2017–18):

- It depicts sharp decline in OOPE, seen as positive outcome of government health schemes such as PM-JAY and NHM.
Issues with Current Measurement

Way Forward
- Improve Data Systems: Move beyond single NSS dataset and integrate data from CMIE, NFHS, private surveys, and insurance databases.
- Independent Validation: Establish mechanisms for triangulation of health spending data from multiple sources.
- Granular Analysis: District-level and rural-urban disaggregation for realistic OOPE mapping.
- Expand Public Health Financing: Increase government spending on health to 2.5% of GDP (National Health Policy target) and reduce household spending on health.
- Strengthen Insurance Coverage: Universal health coverage with comprehensive benefits, not limited to hospitalisation.
Conclusion: While NHA data suggests decline, methodological gaps and conflicting evidence call for caution. India needs robust, validated, and multi-source health expenditure data to ensure effective policymaking and progress toward Universal Health Coverage (UHC).
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