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Journal Article Epublish 3 citations

PubMed: 40689087 DOI: 10.1016/j.lansea.2025.100634

Health insurance coverage among men and women in six countries within the Southeast Asia Region (2015-2022): a multilevel analysis of Demographic and Health Surveys.

Lancet Reg Health Southeast Asia 39:100634

Authors: Nishikant Singh, Pratheeba John, Sudheer Kumar Shukla, Rimjhim Bajpai, Rituparna Sengupta, Rajeev Sadanandan, Navin Singh

Affiliations

  • Health Systems Transformation Platform, New Delhi, India.
  • Population Council Consulting Private Limited, New Delhi, India.
  • National Health Authority, New Delhi, India.
  • King George's Medical University, Lucknow, Uttar Pradesh, India.

Abstract

Background

Equitable access to quality healthcare without financial hardship is key to achieving Universal Health Coverage (UHC), especially in low- and middle-income countries in the WHO Southeast Asia Region (SEAR). Despite health insurance programmes, high out-of-pocket expenditures remain a barrier. This study evaluates health insurance coverage in SEAR, analysing socioeconomic and demographic factors.

Methods

This cross-sectional study used data from Demographic and Health Surveys (2015-2022) conducted in countries within the SEAR (data from six countries for women and five for men). Our analysis separately examined women and men aged 15-49 years using data from their respective individual Demographic and Health Survey datasets. Pooled estimates of health insurance coverage were calculated with 95% CI. Multilevel logistic regression quantified variations at the country and community-levels and identified factors influencing health insurance uptake.

Findings

Health insurance coverage varied across SEAR, with Indonesia reporting highest for women (58.2%; 95% CI: 57.65-58.72) and men (56.6%; 95% CI: 55.31-57.88), while lowest in Bangladesh for women (0.3%; 95% CI: 0.22-0.39) and Myanmar for men (1.4%; 95% CI: 1.04-1.83). Indonesia also had highest social security health insurance (women: 31.0%; 95% CI: 30.49-31.49, men: 27.9%; 95% CI: 26.74-29.03). Private insurance was lowest in Myanmar (women: 0.6%; 95% CI: 0.42-0.72, men: 0.9%; 95% CI: 0.60-1.27) and highest in Indonesia (women: 28.0%; 95% CI: 27.54-28.5, men: 30.0%; 95% CI: 28.81-31.14). Health insurance coverage was higher among individuals with higher education, greater exposure to mass media, rural residence, and older age. Insurance uptake was influenced by contextual factors beyond individual characteristics. India had highest community-attributable variation in health insurance uptake [women (53.1%; 95% CI: 52.56-53.62); men (56.3%; 95% CI: 55.17-57.46)], while lowest in Indonesia among women (17.7%; 95% CI: 16.40-18.99) and Maldives among men (10.8%; 95% CI: 6.71-16.84), after adjusting for demographic and socioeconomic factors.

Interpretation

With an ageing population, healthcare demand and costs in SEAR will rise. Context-specific health insurance policies and targeted interventions are crucial for bridging coverage gaps and achieving UHC.

Funding

There is no specific funding for this study.

MeSH

Insurance Coverage, Insurance, Insurance, Health, Multilevel Analysis, Surveys And Questionnaires, Health Surveys, Demography

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