Socioeconomic and geographic variation in coverage of health insurance across India.

India National Family Health Survey geographic variation health insurance multilevel modelling

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 06 02 2023
accepted: 10 04 2023
medline: 27 7 2023
pubmed: 26 7 2023
entrez: 26 7 2023
Statut: epublish

Résumé

In India, regular monitoring of health insurance at district levels (the most essential administrative unit) is important for its effective uptake to contain the high out of pocket health expenditures. Given that the last individual data on health insurance coverage at district levels in India was in 2016, we update the evidence using the latest round of the National Family Health Survey conducted in 2019-2021. We use the unit records of households from the latest round (2021) of the nationally representative National Family Health Survey to calculate the weighted percentage (and 95% CI) of households with at least one member covered by any form of health insurance and its types across socio-economic characteristics and geographies of India. Further, we used a random intercept logistic regression to measure the variation in coverage across communities, district and state. Such household level study of coverage is helpful as it represents awareness and outreach for at least one member, which can percolate easily to the entire household with further interventions. We found that only 2/5 Despite substantial increase in population eligible for state sponsored health insurance and rise in private health insurance companies, nearly 60% of families do not have a single person covered under any health insurance scheme. Further, the existing coverage is fragmented, with significant rural/urban and geographic variation within districts. It is essential to consider these disparities and adopt rigorous place-based interventions for improving health insurance coverage.

Identifiants

pubmed: 37492139
doi: 10.3389/fpubh.2023.1160088
pmc: PMC10365087
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1160088

Informations de copyright

Copyright © 2023 Ambade, Rajpal, Kim and Subramanian.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Mayanka Ambade (M)

Laxmi Mittal and Family South Asia Institute, Harvard University, India Office, New Delhi, India.

Sunil Rajpal (S)

Department of Economics, FLAME University, Pune, Maharashtra, India.
Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.

Rockli Kim (R)

Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea.
Division of Health Policy and Management, College of Health Science, Korea University, Seoul, Republic of Korea.

S V Subramanian (SV)

Harvard Center for Population and Development Studies, Cambridge, MA, United States.
Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, United States.

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