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Mixed and Multi-Methods Protocol to Evaluate Implementation Processes and Early Effects of the Pradhan Mantri Jan Arogya Yojana Scheme in Seven Indian States

Author

Listed:
  • Manuela De Allegri

    (Heidelberg Institute of Global Health, Medical Faculty and University Hospital, Heidelberg University, 69120 Heidelberg, Germany)

  • Swati Srivastava

    (Heidelberg Institute of Global Health, Medical Faculty and University Hospital, Heidelberg University, 69120 Heidelberg, Germany)

  • Christoph Strupat

    (German Development Institute/Deutsches Institut für Entwicklungspolitik (DIE), 53113 Bonn, Germany)

  • Stephan Brenner

    (Heidelberg Institute of Global Health, Medical Faculty and University Hospital, Heidelberg University, 69120 Heidelberg, Germany)

  • Divya Parmar

    (Centre for Global Health and Health Partnerships, School of Population Health and Environmental Sciences, King’s College London, London SE5 9RJ, UK)

  • Diletta Parisi

    (Heidelberg Institute of Global Health, Medical Faculty and University Hospital, Heidelberg University, 69120 Heidelberg, Germany)

  • Caitlin Walsh

    (Heidelberg Institute of Global Health, Medical Faculty and University Hospital, Heidelberg University, 69120 Heidelberg, Germany)

  • Sahil Mahajan

    (IQVIA Consulting and Information Services India, New Delhi 110001, India)

  • Rupak Neogi

    (Nielsen India Private Limited, Gurugram 122002, India)

  • Susanne Ziegler

    (Indo-German Social Security Programme (IGSSP), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, New Delhi 110029, India)

  • Sharmishtha Basu

    (Indo-German Social Security Programme (IGSSP), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, New Delhi 110029, India)

  • Nishant Jain

    (Indo-German Social Security Programme (IGSSP), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, New Delhi 110029, India)

Abstract

In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India.

Suggested Citation

  • Manuela De Allegri & Swati Srivastava & Christoph Strupat & Stephan Brenner & Divya Parmar & Diletta Parisi & Caitlin Walsh & Sahil Mahajan & Rupak Neogi & Susanne Ziegler & Sharmishtha Basu & Nishant, 2020. "Mixed and Multi-Methods Protocol to Evaluate Implementation Processes and Early Effects of the Pradhan Mantri Jan Arogya Yojana Scheme in Seven Indian States," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7812-:d:434574
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    References listed on IDEAS

    as
    1. Sulakshana Nandi & Helen Schneider & Priyanka Dixit, 2017. "Hospital utilization and out of pocket expenditure in public and private sectors under the universal government health insurance scheme in Chhattisgarh State, India: Lessons for universal health cover," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-18, November.
    2. Blake J Angell & Shankar Prinja & Anadi Gupt & Vivekanand Jha & Stephen Jan, 2019. "The Ayushman Bharat Pradhan Mantri Jan Arogya Yojana and the path to universal health coverage in India: Overcoming the challenges of stewardship and governance," PLOS Medicine, Public Library of Science, vol. 16(3), pages 1-6, March.
    3. Shankar Prinja & Akashdeep Singh Chauhan & Anup Karan & Gunjeet Kaur & Rajesh Kumar, 2017. "Impact of Publicly Financed Health Insurance Schemes on Healthcare Utilization and Financial Risk Protection in India: A Systematic Review," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-19, February.
    4. Gerard La Forgia & Somil Nagpal, 2012. "Government-Sponsored Health Insurance in India : Are You Covered?," World Bank Publications - Books, The World Bank Group, number 11957.
    5. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
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