Optimal pricing and budget decisions in public health systems with delay sensitive patients

IF 1.9 3区 工程技术 Q3 MANAGEMENT IMA Journal of Management Mathematics Pub Date : 2022-07-09 DOI:10.1093/imaman/dpac008
Senlong Huang, DongBin Hu, Wuhua Chen
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引用次数: 1

Abstract

The congestion of public hospitals for elective treatment in some countries and regions, such as Canada and Hong Kong where the free health policy is implemented, is a serious issue. The main reason is the excessive demand generated by the provision of free service. In response, the government can set appropriate service price and budget for public hospitals to moderate such demand. This is often referred to as the charging policy, implemented in countries such as China. A Stackelberg game is established for a health system consisting of a government, a public health provider and delay sensitive patients. The results show that when the customers' waiting cost is low (e.g., the market demand, the patients delay sensitivity, or the unit capacity cost is low), the free health policy outperforms the charging policy; otherwise, the charging policy is better. Moreover, we find that the equilibrium waiting time and the equilibrium price decrease with the market demand when the funder attaches more importance to patients’ welfare than the budget surplus and the total budget is sufficient.
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具有延迟敏感患者的公共卫生系统中的最优定价和预算决策
在一些国家和地区,如实行免费卫生政策的加拿大和香港,公立医院用于选择性治疗的拥挤是一个严重的问题。主要原因是提供免费服务所产生的过度需求。作为回应,政府可以为公立医院设定适当的服务价格和预算,以缓和这种需求。这通常被称为收费政策,在中国等国家实施。Stackelberg博弈是为一个由政府、公共卫生提供者和延迟敏感患者组成的卫生系统建立的。结果表明,当顾客的等待成本较低(如市场需求、患者延迟敏感性或单位容量成本较低)时,免费健康政策优于收费政策;否则,收费政策会更好。此外,我们发现,当资助者比预算盈余更重视患者福利并且总预算充足时,均衡等待时间和均衡价格会随着市场需求而下降。
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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