Suppr超能文献

卫生服务提供中医疗设备监管的演化博弈分析

Evolutionary game analysis on the regulation of medical devices used in health services delivery.

作者信息

Tong Guixian, Geng Qingqing, Hu Chaoming

机构信息

School of Management, Hefei University of Technology, Hefei, People's Republic of China.

Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, People's Republic of China.

出版信息

Sci Rep. 2024 Dec 28;14(1):31429. doi: 10.1038/s41598-024-83068-1.

Abstract

Medical devices (MDs) play a critical role in healthcare delivery while also bringing potential medical risks and unintended harms to patients. Although government regulation is well recognized as a critical and essential function for ensuring the safety of MDs in many countries, the supplementary role that hospitals play is often neglected. This paper constructs a tripartite evolutionary game model involving the government, hospitals, and MDs enterprises to explore their strategic behaviors of MDs regulation in healthcare delivery. We performed theoretical analysis and numerical simulations to examine the stability of stakeholders' strategy selections. Our results reveal that: (1) Evolutionarily stable strategy (ESS) can be reached under specific revenue conditions for the government, hospitals, and MDs enterprises. (2) Penalty intensities largely affect the convergence rates of hospital strict management and enterprise quality improvement strategies. (3) Whistleblowing is an efficient factor to influence strategy selections of the hospital and MDs enterprise. Based on these findings, we propose policy recommendations to enhance MDs regulation effectiveness, including encouraging hospitals' engagement in regulation, promoting whistleblowing with more public participation, balancing penalty systems, and strengthening multi-party cooperation.

摘要

医疗设备在医疗服务中发挥着关键作用,但同时也给患者带来潜在的医疗风险和意外伤害。尽管在许多国家,政府监管被公认为确保医疗设备安全的一项至关重要的职能,但医院所起的补充作用却常常被忽视。本文构建了一个涉及政府、医院和医疗设备企业的三方演化博弈模型,以探讨它们在医疗服务中对医疗设备监管的战略行为。我们进行了理论分析和数值模拟,以检验利益相关者战略选择的稳定性。我们的结果表明:(1)在政府、医院和医疗设备企业的特定收益条件下,可以达到演化稳定策略(ESS)。(2)惩罚强度在很大程度上影响医院严格管理和企业质量改进策略的收敛速度。(3)举报是影响医院和医疗设备企业战略选择的一个有效因素。基于这些发现,我们提出了提高医疗设备监管有效性的政策建议,包括鼓励医院参与监管、促进更多公众参与的举报、平衡惩罚制度以及加强多方合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b616/11682335/a692b96dfb23/41598_2024_83068_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验