一个机会受限的网络DEA方法来评估医疗服务和质量效率:台湾的一个案例研究
Shiu-Wan Hung1, Kai-Chu Yang1, Wen-Min Lu2
1Department of Business Administration, National Central University, No. 300, Jung-Da Road, Jung-Li City, Tao-Yuan, 320, Taiwan.
Health care management science
|February 27, 2025
概括
这项研究评估了台湾的医疗保健效率,发现非大都市地区在医疗服务效率 (MSE) 中表现出色,而大都市地区在医疗质量效率 (MQE) 中领先. 诸如劳动力规模等因素会对这些效率产生不同的影响.
科学领域:
- 医疗保健管理的管理
- 医疗保健服务研究 医疗服务研究
- 运营研究 运营研究
背景情况:
- 医疗保健效率对于平衡医疗机构的服务提供和质量结果至关重要.
- 评估医疗服务效率 (MSE) 和医疗质量效率 (MQE) 对于优化医疗保健运营至关重要.
- 台湾的县级和城市级医疗机构为这种效率评估提供了相关的背景.
研究的目的:
- 估计2015-2019年21家台湾医疗机构的医疗服务效率 (MSE) 和医疗质量效率 (MQE).
- 引入和应用一种新的机会受限网络数据环境分析 (DEA) 模型,用于全面的效率评估.
- 确定这些机构中影响MSE和MQE的关键因素.
主要方法:
- 开发了一个新的机会受限网络数据包围分析 (DEA) 模型,集成范围定向测量 (RDM),定向距离函数 (DDF) 和增强的罗素效率测量 (ERM).
- 该研究分析了2015年至2019年间台湾21个县级和市级医疗机构的数据.
- 使用截断回归模型来研究MSE和MQE的决定因素.
主要成果:
- 与大都市地区相比,非大都市地区的医疗服务效率 (MSE) 较高.
- 大都会地区的医疗质量效率 (MQE) 比非大都会地区更高.
- 劳动力数量和县/城市属性对MSE产生了负面影响,但对MQE产生了积极影响.
结论:
- 在台湾,大都会和非大都会地区之间,医疗保健效率差异很大.
- 不同的因素影响运营 (MSE) 和质量 (MQE) 的效率,需要量身定制的策略.
- 这些发现为医疗机构提供了基于数据的建议,以提高其整体效率和护理质量.
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