Bridging the gap between health insurance eligibility and uptake: A multistate quantitative analysis of entitlement-based verification patterns under India’s PM-JAY Scheme

Publicly-funded health insurance schemes, wherein governments subsidize insurance contributions for disadvantaged groups, are a key strategy under universal health coverage. India's Pradhan Mantri Jan Arogya Yojana (PM-JAY) uses an entitlement-based approach whereby approximately 700 million beneficiaries are automatically eligible for scheme benefits, subject to a simplified identity verification procedure instead of enrolment. This study investigates the determinants of undergoing verification among PM-JAY's target population to identify underserved groups and inform strategies to expand coverage. We used cross-sectional survey data from 2019-2020, covering 50,002 individuals across five states. We examined individual and household characteristics associated with verification using logistic regression models with district-level random effects, and beneficiary experiences with the verification process. About one-fifth of eligible individuals had verified their status within a year of launch. Verification was more likely among older adults, with those ≥60years having higher odds than those 0-15 years of age (adjusted Odd Ratio [AOR] 2.339; 95% CI 2.071-2.641). Those with higher education had higher odds than those with no formal education (AOR 2.303; 95% CI 2.048-2.590), those with prior PFHI enrolment had higher odds compared to those not enrolled (AOR 1.947; 95% CI 1.827-2.075), and those with chronic illness had higher odds than those without (AOR 1.175; 95% CI 1.071-1.289). Women and household members other than spouses were less likely to verify. Disadvantaged castes and minority religions demonstrated relatively higher verification rates. District-level factors explained nearly one-third of variability, indicating that infrastructure and implementation capacity differences influence uptake. Many beneficiaries reported long wait times, varying documentation demands, and informal payments during verification. Addressing these barriers requires gender-sensitive outreach, streamlined household-wide verification, and strengthened local health system capacity. Policy reforms that simplify verification, ensure equitable access, and strengthen health infrastructure are vital to advancing effective universal health coverage for India's most vulnerable populations.

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Journal
PLOS Global Public Health
Published
2026-10-13
DOI
https://doi.org/10.1371/journal.pgph.0007451
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00

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article

Bridging the gap between health insurance eligibility and uptake: A multistate quantitative analysis of entitlement-based verification patterns under India’s PM-JAY Scheme

Christoph Strupat, Swati Srivastava, Divya Parmar, Nishant Jain et al.
PLOS Global Public Health
Healthcare Systems and Reforms
article

Bridging the gap between health insurance eligibility and uptake: A multistate quantitative analysis of entitlement-based verification patterns under India’s PM-JAY Scheme

Christoph Strupat, Swati Srivastava, Divya Parmar, Nishant Jain, Manuela De Allegri, Tads Ciecierski-Holmes
article en

Abstract

Publicly-funded health insurance schemes, wherein governments subsidize insurance contributions for disadvantaged groups, are a key strategy under universal health coverage. India's Pradhan Mantri Jan Arogya Yojana (PM-JAY) uses an entitlement-based approach whereby approximately 700 million beneficiaries are automatically eligible for scheme benefits, subject to a simplified identity verification procedure instead of enrolment. This study investigates the determinants of undergoing verification among PM-JAY's target population to identify underserved groups and inform strategies to expand coverage. We used cross-sectional survey data from 2019-2020, covering 50,002 individuals across five states. We examined individual and household characteristics associated with verification using logistic regression models with district-level random effects, and beneficiary experiences with the verification process. About one-fifth of eligible individuals had verified their status within a year of launch. Verification was more likely among older adults, with those ≥60years having higher odds than those 0-15 years of age (adjusted Odd Ratio [AOR] 2.339; 95% CI 2.071-2.641). Those with higher education had higher odds than those with no formal education (AOR 2.303; 95% CI 2.048-2.590), those with prior PFHI enrolment had higher odds compared to those not enrolled (AOR 1.947; 95% CI 1.827-2.075), and those with chronic illness had higher odds than those without (AOR 1.175; 95% CI 1.071-1.289). Women and household members other than spouses were less likely to verify. Disadvantaged castes and minority religions demonstrated relatively higher verification rates. District-level factors explained nearly one-third of variability, indicating that infrastructure and implementation capacity differences influence uptake. Many beneficiaries reported long wait times, varying documentation demands, and informal payments during verification. Addressing these barriers requires gender-sensitive outreach, streamlined household-wide verification, and strengthened local health system capacity. Policy reforms that simplify verification, ensure equitable access, and strengthen health infrastructure are vital to advancing effective universal health coverage for India's most vulnerable populations.

PLOS Global Public HealthVol. 6(10)
German Institute of Development and Sustainability (DE), King's College London (GB), Heidelberg University (DE), University Hospital Heidelberg (DE), Asian Development Bank (PH), Addenbrooke's Hospital (GB), Heidelberg Institute of Global Health (DE)
Bill and Melinda Gates Foundation, Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung, Deutsche Gesellschaft für Internationale Zusammenarbeit
Openalex Percentile: Top 8%
Healthcare Systems and Reforms
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