{"title":"印度旁遮普邦政府资助的医疗保险中，一揽子医疗福利政策干预措施对服务利用率的影响：对 Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY) 的分析","authors":"Shankar Prinja , Jyoti Dixit , Ruby Nimesh , Basant Garg , Rupinder Khurana , Amit Paliwal , Arun Kumar Aggarwal","doi":"10.1016/j.lansea.2024.100462","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The design of health benefits package (HBP), and its associated payment and pricing system, is central to the performance of government-funded health insurance programmes. We evaluated the impact of revision in HBP within India’s <em>Pradhan Mantri Jan Arogya Yojana</em> (PM-JAY) on provider behaviour, manifesting in terms of utilisation of services.</p></div><div><h3>Methods</h3><p>We analysed the data on 1.35 million hospitalisation claims submitted by all the 886 (222 government and 664 private) empanelled hospitals in state of Punjab, from August 2019 to December 2022, to assess the change in utilisation from HBP 1.0 to HBP 2.0. The packages were stratified based on the nature of revision introduced in HBP 2.0, i.e., change in nomenclature, construct, price, or a combination of these. Data from National Health System Cost Database on cost of each of the packages was used to determine the cost-price differential for each package during HBP 1.0 and 2.0 respectively. A dose–response relationship was also evaluated, based on the multiplicity of revision type undertaken, or based on extent of price correction done. Change in the number of monthly claims, and the number of monthly claims per package was computed for each package category using an appropriate seasonal autoregressive integrated moving average (SARIMA) time series model.</p></div><div><h3>Findings</h3><p>Overall, we found that the HBP revision led to a positive impact on utilisation of services. While changes in HBP nomenclature and construct had a positive effect, incorporating price corrections further accentuated the impact. The pricing reforms highly impacted those packages which were originally significantly under-priced. However, we did not find statistically significant dose–response relationship based on extent of price correction. Thirdly, the overall impact of HBP revision was similar in public and private hospitals.</p></div><div><h3>Interpretation</h3><p>Our paper demonstrates the significant positive impact of PM-JAY HBP revisions on utilisation. HBP revisions need to be undertaken with the anticipation of its long-term intended effects.</p></div><div><h3>Funding</h3><p><span>Deutsche Gesellschaft für Internationale Zusammenarbeit</span> (GIZ).</p></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"28 ","pages":"Article 100462"},"PeriodicalIF":5.0000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772368224001124/pdfft?md5=34e44f2ff7fa3b019fe9b116c38bccf3&pid=1-s2.0-S2772368224001124-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Impact of health benefit package policy interventions on service utilisation under government-funded health insurance in Punjab, India: analysis of Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY)\",\"authors\":\"Shankar Prinja , Jyoti Dixit , Ruby Nimesh , Basant Garg , Rupinder Khurana , Amit Paliwal , Arun Kumar Aggarwal\",\"doi\":\"10.1016/j.lansea.2024.100462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The design of health benefits package (HBP), and its associated payment and pricing system, is central to the performance of government-funded health insurance programmes. We evaluated the impact of revision in HBP within India’s <em>Pradhan Mantri Jan Arogya Yojana</em> (PM-JAY) on provider behaviour, manifesting in terms of utilisation of services.</p></div><div><h3>Methods</h3><p>We analysed the data on 1.35 million hospitalisation claims submitted by all the 886 (222 government and 664 private) empanelled hospitals in state of Punjab, from August 2019 to December 2022, to assess the change in utilisation from HBP 1.0 to HBP 2.0. The packages were stratified based on the nature of revision introduced in HBP 2.0, i.e., change in nomenclature, construct, price, or a combination of these. Data from National Health System Cost Database on cost of each of the packages was used to determine the cost-price differential for each package during HBP 1.0 and 2.0 respectively. A dose–response relationship was also evaluated, based on the multiplicity of revision type undertaken, or based on extent of price correction done. Change in the number of monthly claims, and the number of monthly claims per package was computed for each package category using an appropriate seasonal autoregressive integrated moving average (SARIMA) time series model.</p></div><div><h3>Findings</h3><p>Overall, we found that the HBP revision led to a positive impact on utilisation of services. While changes in HBP nomenclature and construct had a positive effect, incorporating price corrections further accentuated the impact. The pricing reforms highly impacted those packages which were originally significantly under-priced. However, we did not find statistically significant dose–response relationship based on extent of price correction. Thirdly, the overall impact of HBP revision was similar in public and private hospitals.</p></div><div><h3>Interpretation</h3><p>Our paper demonstrates the significant positive impact of PM-JAY HBP revisions on utilisation. 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Impact of health benefit package policy interventions on service utilisation under government-funded health insurance in Punjab, India: analysis of Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY)
Background
The design of health benefits package (HBP), and its associated payment and pricing system, is central to the performance of government-funded health insurance programmes. We evaluated the impact of revision in HBP within India’s Pradhan Mantri Jan Arogya Yojana (PM-JAY) on provider behaviour, manifesting in terms of utilisation of services.
Methods
We analysed the data on 1.35 million hospitalisation claims submitted by all the 886 (222 government and 664 private) empanelled hospitals in state of Punjab, from August 2019 to December 2022, to assess the change in utilisation from HBP 1.0 to HBP 2.0. The packages were stratified based on the nature of revision introduced in HBP 2.0, i.e., change in nomenclature, construct, price, or a combination of these. Data from National Health System Cost Database on cost of each of the packages was used to determine the cost-price differential for each package during HBP 1.0 and 2.0 respectively. A dose–response relationship was also evaluated, based on the multiplicity of revision type undertaken, or based on extent of price correction done. Change in the number of monthly claims, and the number of monthly claims per package was computed for each package category using an appropriate seasonal autoregressive integrated moving average (SARIMA) time series model.
Findings
Overall, we found that the HBP revision led to a positive impact on utilisation of services. While changes in HBP nomenclature and construct had a positive effect, incorporating price corrections further accentuated the impact. The pricing reforms highly impacted those packages which were originally significantly under-priced. However, we did not find statistically significant dose–response relationship based on extent of price correction. Thirdly, the overall impact of HBP revision was similar in public and private hospitals.
Interpretation
Our paper demonstrates the significant positive impact of PM-JAY HBP revisions on utilisation. HBP revisions need to be undertaken with the anticipation of its long-term intended effects.
Funding
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ).
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