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)

IF 5 Q1 HEALTH CARE SCIENCES & SERVICES
Shankar Prinja , Jyoti Dixit , Ruby Nimesh , Basant Garg , Rupinder Khurana , Amit Paliwal , Arun Kumar Aggarwal
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引用次数: 0

Abstract

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).

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
背景医疗福利包(HBP)及其相关支付和定价系统的设计对于政府资助的医疗保险项目的绩效至关重要。我们评估了印度 Pradhan Mantri Jan Arogya Yojana(PM-JAY)一揽子医疗福利计划的修订对医疗服务提供者行为的影响,具体表现在服务利用率方面。方法我们分析了旁遮普邦所有 886 家(222 家政府医院和 664 家私立医院)医院在 2019 年 8 月至 2022 年 12 月期间提交的 135 万份住院报销申请数据,以评估从一揽子医疗福利计划 1.0 到一揽子医疗福利计划 2.0 的利用率变化。根据 HBP 2.0 中引入的修订性质(即名称、结构、价格或这些因素的组合变化)对套餐进行了分层。利用国家卫生系统成本数据库中关于每种套餐成本的数据,分别确定了 HBP 1.0 和 2.0 期间每种套餐的成本-价格差异。此外,还根据修订类型的多样性或价格修正的程度评估了剂量-反应关系。使用适当的季节性自回归综合移动平均(SARIMA)时间序列模型,计算了每个套餐类别的月索赔数量变化和每个套餐的月索赔数量。虽然医保方案名称和结构的变化产生了积极影响,但价格调整进一步加剧了这种影响。定价改革对那些原本定价明显偏低的套餐产生了很大影响。然而,根据价格修正的程度,我们并没有发现统计学上显著的剂量-反应关系。第三,对公立医院和私立医院来说,修订住院费用方案的总体影响是相似的。在修订住院费用标准时,需要考虑到其长期预期效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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