ArticleBMJ global health2023
Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data.
Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Out-of-pocket expenditure on medicine for chronic patients and its economic impact on Indian households: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Cost per outcome of ICU care under Biju Swasthya Kalyan Yojana in Odisha.The Indian journal of medical research · 2026Article
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- Addressing low-value care (LVC) in Asia: a narrative review of Choosing Wisely and other initiatives across Asia.BMJ open quality · 2026Review
- Economic gradients of health insurance coverage in India.Frontiers in public health · 2026Article
- The Pharmacoeconomics and its Evaluation in Enhancing the Indian Healthcare System.Current drug research reviews · 2026Review
- Does health insurance coverage improve cardiometabolic risk factor levels? Quasi-experimental evidence from India.Global health action · 2025Article
- Telemedicine for persons with epilepsy in India: a mixed methods study.BMC health services research · 2025Article
- Health insurance coverage among men and women in six countries within the Southeast Asia Region (2015-2022): a multilevel analysis of DemographicThe Lancet regional health. Southeast Asia · 2025Article
- Endovascular Treatment for Aortic Diseases: Intercontinental Disparities.Current cardiology reports · 2025Review
- Informal employment and high burden of out-of-pocket healthcare payments among older workers: evidence from the Longitudinal Ageing Study in India.Health policy and planning · 2025Article
- Spotlight on Lung Cancer Disparities in India.JCO global oncology · 2025Article
- Assessing Surgical Care under the Government‑Funded Health Insurance Scheme-Pradhan Mantri Jan Arogya Yojana in India.Annals of global health · 2025Article
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- Estimates of life expectancy and premature mortality among multidimensional poor and non-poor in India.BMC public health · 2024Article
- Benefit equity of social health insurance in China and its provinces (2014-2020): implications for universal health coverage.BMJ global health · 2024Article
- Identification of high-risk imaging features in hypertrophic cardiomyopathy using electrocardiography: A deep-learning approach.Heart rhythm · 2024Article
- Catastrophic health expenditure and distress financing of breast cancer treatment in India: evidence from a longitudinal cohort study.International journal for equity in health · 2024Article
- Article
- Out-of-pocket payment and financial risk protection for breast cancer treatment: a prospective study from India.The Lancet regional health. Southeast Asia · 2024Article
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Abstract
introductionThe 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.
methodsWe 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.
resultsWe 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.
conclusionThe 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.
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