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

被引:13
作者
Mohanty, Sanjay K. [1 ]
Upadhyay, Ashish Kumar [2 ]
Maiti, Suraj [2 ]
Mishra, Radhe Shyam [2 ]
Kaempfen, Fabrice [3 ]
Maurer, Jurgen [4 ,5 ]
O'Donnell, Owen [6 ]
机构
[1] Int Inst Populat Sci, Dept Populat & Dev, Mumbai, Maharashtra, India
[2] Int Inst Populat Sci, Mumbai, Maharashtra, India
[3] Univ Coll Dublin, Dublin, Ireland
[4] Univ Lausanne, Fac Business & Econ HEC, Dept Econ, CH-1015 Lausanne, Switzerland
[5] Univ Lausanne, Fac Business & Econ HEC, Lausanne Ctr Hlth Econ Behav & Policy, Lausanne, Switzerland
[6] Erasmus Univ, Rotterdam, Netherlands
来源
BMJ GLOBAL HEALTH | 2023年 / 8卷 / 08期
基金
瑞士国家科学基金会;
关键词
health insurance; CARE ACCESS; IMPACT; MORTALITY; RISK;
D O I
10.1136/bmjgh-2023-012725
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction 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.
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页数:12
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