医疗费用分担系统中支付方案对绩效的影响:捆绑支付vs.全部预付

IF 1.1 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Miao Yu, Wang Zhou, Yu Zhao
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引用次数: 0

摘要

目前,许多国家正在对其医疗保健支付制度进行改革,从后支付改为预付费。为了探讨预付费方案对医疗系统绩效的影响,我们研究了两种支付方案,捆绑支付(BP)和总预付费(TP),对医疗成本分担系统的绩效。在BP计划下,政府向医院一次性支付每位病人整个治疗过程的费用。在计划下,政府在一段时间内提供综合补偿的总额。采用一个嵌入排队模型的三Stackelberg博弈来探讨政府、医院和患者三者之间的相互作用。政府决定医院收到的补偿和患者支付的共同费用,以最大限度地提高社会福利。接下来,医院确定每个医疗事件的服务率,以实现利润最大化。最后,患者自行决定是否向医院申诉医疗服务。推导了BP和TP方案下参与者的最优策略,并通过数值分析比较了系统性能。结果表明,BP在减少患者期望等待时间方面优于TP,而在系统可及性和服务质量方面优于TP。我们的研究首次在医疗保健系统决策分析中考虑了总预付方案,研究结果为政策制定者在实践中实施医疗保险改革提供了重要的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of payment schemes on performance in a medical cost-sharing system: bundled payment vs. total prepayment

Currently, many countries are on the process of reforming their health care payment systems from post-payment to pre-payment. To explore the impact of pre-payment schemes on health system performance we investigate the two payment schemes, bundled payment (BP) and total prepayment (TP), on performance in a medical cost-sharing system. Under the BP scheme, the government compensates hospitals with a lump sum for the entire course of each patient’s care. Under the TP scheme, the government provides the total amount of integrated compensation within a period. A three Stackelberg game with an embedded queueing model is used to explore the interactions among participants: government, hospital, and patients. The government determines the compensation received by hospitals and the copayment paid by patients to maximize social welfare. Next, the hospital determines its service rate for each medical episode to maximize profit. Last, patients make decisions on whether to appeal to the hospital for medical services. We derive the optimal strategy for the participants under the BP and TP schemes, and compare the system performance through numerical analysis. Results show that BP is better than TP in reducing patient expected waiting time, while it outperforms TP in terms of system accessibility and service quality. Our study is the first to consider the total prepayment scheme in the healthcare system decision analysis and the findings offer important insights for policymakers regarding implementing medical insurance reform in practice.

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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