The Hard Truth About Out-of-Pocket Health Expenditure (OOPE)

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  • Education & Livelihood Impact: Children withdrawn from school and women forced into longer working hours.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):

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

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).

https://www.pressreader.com/india/the-hindu-kochi-9WW8/20250918/281818584986123?srsltid=AfmBOopqWDhgVwtgmOCZHB9PJcPDaKspu-pKnK0Bn1m5XGx3eO1nehne

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