School of Medicine, Xiamen University, Xiamen, China.
National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Front Public Health. 2023 Mar 9;11:1078675. doi: 10.3389/fpubh.2023.1078675. eCollection 2023.
This study proposed a two-stage dual-game model methodology to evaluate the existing difficulty of healthcare accessibility in China. First, we analyzed a multi-player El Farol bar game with incomplete information by mixed strategy to explore the Nash equilibrium, and then a weighted El Farol bar game was discussed to identify the existence of a contradiction between supply and demand sides in a tertiary hospital. Second, the overall payoff based on healthcare quality was calculated. In terms of the probability of medical experience reaching that expected level, residents are not optimistic about going to the hospital, and the longer the observation period is, the more pronounced this trend becomes. By adjusting the threshold value to observe the change in the probability of being able to obtain the expected medical experience, it is found that the median number of hospital visits is a key parameter. Going to the hospital did bring benefits to people with consideration of the payoffs, while the benefits varied significantly with the observation period among different months. This study is recommended as a new method and approach to quantitatively assess the tense relationship in access to medical care between the demand and supply sides and a foundation for policy and practice improvements to ensure the efficient delivery of healthcare.
本研究提出了一种两阶段双博弈模型方法，以评估中国现有医疗保健可及性的困难程度。首先，我们通过混合策略分析了一个具有不完全信息的多玩家 El Farol 酒吧游戏，以探索纳什均衡，然后讨论了加权 El Farol 酒吧游戏，以确定三甲医院供需双方之间是否存在矛盾。其次，根据医疗质量计算了总体收益。就医疗体验达到预期水平的概率而言，居民对去医院就医并不乐观，观察期越长，这种趋势越明显。通过调整阈值来观察获得预期医疗体验的概率的变化，发现医院就诊中位数是一个关键参数。考虑到收益，去医院确实给人们带来了好处，而不同月份的观察期不同，收益差异很大。本研究建议将其作为一种新的方法和途径，对医疗保健供需双方之间紧张关系进行定量评估，并为改善政策和实践提供基础，以确保医疗保健的有效提供。
