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Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data.
Mohanty, Sanjay K; Upadhyay, Ashish Kumar; Maiti, Suraj; Mishra, Radhe Shyam; Kämpfen, Fabrice; Maurer, Jürgen; O'Donnell, Owen.
Afiliação
  • Mohanty SK; Department of Population and Development, International Institute for Population Sciences, Mumbai, Maharashtra, India sanjayiips@yahoo.co.in.
  • Upadhyay AK; International Institute for Population Sciences, Mumbai, Maharashtra, India.
  • Maiti S; International Institute for Population Sciences, Mumbai, Maharashtra, India.
  • Mishra RS; International Institute for Population Sciences, Mumbai, Maharashtra, India.
  • Kämpfen F; University College Dublin, Dublin, Ireland.
  • Maurer J; Department of Economics and Lausanne Center for Health Economics, Behavior and Policy, Faculty of Business and Economics (HEC), University of Lausanne, Lausanne, Switzerland.
  • O'Donnell O; Erasmus University Rotterdam, Rotterdam, The Netherlands.
BMJ Glob Health ; 8(8)2023 08.
Article em En | MEDLINE | ID: mdl-37640493
ABSTRACT

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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_cobertura_universal Assunto principal: Saúde Pública / Cobertura do Seguro Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMJ Glob Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_cobertura_universal Assunto principal: Saúde Pública / Cobertura do Seguro Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMJ Glob Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia
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