Evidence map›Paper›PMID 42661750›Full record

ArticleFrontiers in public health2026

Economic gradients of health insurance coverage in India.

Puja Pal, Md Juel Rana

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Puja PalV. V. Giri National Labour Institute, Noida, Uttar Pradesh, India.
Md Juel RanaG. B. Pant Social Science Institute (A Constituent Institute of the University of Allahabad), Prayagraj, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Universal Health Coverage (UHC) aims to ensure accessible, affordable, and quality healthcare for all. In India, achieving UHC is challenging due to very low public health expenditure and a highly privatized healthcare system. This places a significant financial burden on households, often pushing them into poverty and catastrophic health spending. Health insurance is a key tool for reducing financial risk and improving access to healthcare. The study attempts to examine the economic determinants of health insurance coverage in India. It also assesses the temporal-economic gradients of health insurance coverage. Methods: The National Family Health Survey (NFHS) rounds conducted during 2005-06, 2015-16, and 2019-21 were used. Overall health insurance coverage and different types of health insurance coverage were estimated by the two main economic variables namely wealth quintile and Below Poverty Line (BPL) status. The logistic regression models were applied to estimate the adjusted odds ratio of health insurance coverage by the socioeconomic variables. Results and discussion: There has been notable progress in enhancing insurance coverage, particularly among poor, primarily through Government-sponsored health insurance (GSHI) schemes. However, a considerable proportion of impoverished households (64 percent of poorest and 58 percent of poorer households) remains without any insurance coverage, largely stemming from a lack of awareness and issues of identification of target groups. Conversely, a notable portion of the middle (71 percent) and affluent classes (70 percent) are accessing the benefits of the GSHI scheme compared to 54 percent among poorest households, mainly due to leakage issues. Consequently, there is a need to recalibrate the exclusion of the middle and affluent classes and the inclusion of the poorest within existing GSHI schemes like PM-JAY. There is need to implement appropriate strategies such as linking SECC data with Aadhaar, conducting regular enrolment audits, developing state-level targeting metrics, and using community-based enrolment to reduce identification errors and leakage. These should be paired with broader reforms, including integrating state and central schemes, expanding outpatient coverage and awareness, regulating private providers, and strengthening primary healthcare alongside insurance expansion.

Indexed as

Insurance CoverageInsurance, HealthUniversal Health InsuranceHealth SurveysHumansIndiaPovertySocioeconomic Disparities in HealthSocioeconomic Factorsexpenditurefinancial risk protectionhealthcarePMJAYRSBYuniversal health coverage

Identifiers

PMID42661750
PMCPMC13518565

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.