Public health insurance coverage in India before and after PM-JAY: Repeated cross-sectional analysis of nationally representative survey data

dc.contributor.authorMohanty, Sanjay K.en
dc.contributor.authorUpadhyay, Ashish Kumaren
dc.contributor.authorMaiti, Surajen
dc.contributor.authorMishra, Radhe Shyamen
dc.contributor.authorKämpfen, Fabriceen
dc.contributor.authorMaurer, Jürgenen
dc.contributor.authorO'Donnell, Owenen
dc.date.accessioned2025-02-20T20:23:47Zen
dc.date.available2025-02-20T20:23:47Zen
dc.date.issued2023-08-28en
dc.description.abstractIntroduction The provision of non-contributory public health insurance (NPHI) to marginalised populations is a critical step along the path to universal health coverage. We aimed to assess the extent to which Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (PM-JAY) - potentially, the world's largest NPHI programme - has succeeded in raising health insurance coverage of the poorest two-fifths of the population of India. Methods We used nationally representative data from the National Family Health Survey on 633 699 and 601 509 households in 2015-2016 (pre-PM-JAY) and 2019-2021 (mostly, post PM-JAY), respectively. We stratified by urban/rural and estimated NPHI coverage nationally, and by state, district and socioeconomic categories. We decomposed coverage variance between states, districts, and households and measured socioeconomic inequality in coverage. For Uttar Pradesh, we tested whether coverage increased most in districts where PM-JAY had been implemented before the second survey and whether coverage increased most for targeted poorer households in these districts. Results We estimated that NPHI coverage increased by 11.7 percentage points (pp) (95% CI 11.0% to 12.4%) and 8.0 pp (95% CI 7.3% to 8.7%) in rural and urban India, respectively. In rural areas, coverage increased most for targeted households and pro-rich inequality decreased. Geographical inequalities in coverage narrowed. Coverage did not increase more in states that implemented PM-JAY. In Uttar Pradesh, the coverage increase was larger by 3.4 pp (95% CI 0.9% to 6.0%) and 4.2 pp (95% CI 1.2% to 7.1%) in rural and urban areas, respectively, in districts exposed to PM-JAY and the increase was 3.5 pp (95% CI 0.9% to 6.1%) larger for targeted households in these districts. Conclusion The introduction of PM-JAY coincided with increased public health insurance coverage and decreased inequality in coverage. But the gains cannot all be plausibly attributed to PM-JAY, and they are insufficient to reach the goal of universal coverage of the poor.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1136/bmjgh-2023-012725en
dc.identifier.eissn2059-7908en
dc.identifier.issn2059-7908en
dc.identifier.issue8en
dc.identifier.orcidMaiti, Suraj [0000-0001-5441-1399]en
dc.identifier.otherPMC10462969en
dc.identifier.otherbmjgh-2023-012725 (PII)en
dc.identifier.pmid37640493en
dc.identifier.urihttps://hdl.handle.net/10919/124672en
dc.identifier.volume8en
dc.language.isoenen
dc.publisherBMJen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/37640493en
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.subjecthealth insuranceen
dc.subject.meshHumansen
dc.subject.meshCross-Sectional Studiesen
dc.subject.meshPublic Healthen
dc.subject.meshInsurance Coverageen
dc.subject.meshIndiaen
dc.subject.meshUniversal Health Insuranceen
dc.titlePublic health insurance coverage in India before and after PM-JAY: Repeated cross-sectional analysis of nationally representative survey dataen
dc.title.serialBMJ Global Healthen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
dcterms.dateAccepted2023-08-08en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Scienceen
pubs.organisational-groupVirginia Tech/Science/Economicsen
pubs.organisational-groupVirginia Tech/Graduate studentsen
pubs.organisational-groupVirginia Tech/Graduate students/Doctoral studentsen

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