基于DEA的集中资源配置,在效率和公平之间保持平衡:来自中国31个省份的医疗保健服务的证据
1School of Economic and Management, Yan'an University, Yan'an, 716000, China. dutao0608@sina.com.
Health care management science
|March 21, 2025
概括
一个新的模型平衡了医疗保健资源分配效率和公平性,优于以前的方法. 这种方法确保了所有地区的公平,优化了中国的医疗保健服务.
科学领域:
- 卫生经济学 卫生经济学
- 运营研究 运营研究
- 公共卫生政策 公共卫生政策
背景情况:
- 中国的医疗保健系统面临着在不断增加的投资中最大限度地提高产出和确保公平的资源分配的挑战.
- 现有的基于数据包裹分析 (DEA) 的一般化模型可能会优先考虑效率而不是公平性,这可能导致多个解决方案.
研究的目的:
- 提出基于DEA的新型集中资源分配模型 (模型2),同时平衡医疗保健的效率和公平.
- 为了解决与仅专注于输出最大化模型固有的多解决方案问题.
主要方法:
- 开发基于DEA的集中资源分配模型 (模型2),将输入和输出指标纳入目标函数.
- 数学证明模型2的帕雷托效率及其防止多解决方案问题的能力.
- 用31个中国省份的数据对模型2与通用DEA模型 (模型1) 的比较分析.
主要成果:
- 模式2有效地整合了效率和公平,确保了资源分配的绝对和相对公平.
- 拟议的模型通过考虑输入和输出,防止多解决方案的问题.
- 经验结果表明,Model 2在提高医疗保健资源分配效率和公平性方面优于Model 1.
结论:
- 模型2为优化医疗保健资源分配提供了一个强大的框架,在效率和公平之间实现了卓越的平衡.
- 该模型在中国省级医疗保健系统中的应用证实了其在促进公平分配方面的有效性.
- 这项研究为决策者提供了有价值的见解,旨在改革医疗保健系统,以改善结果和公平性.
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