卫生系统效率评估中的不均性
1Faculty of Statistics and Informatics, Prague University of Economics and Business, Prague, Czech Republic. dlouhy@vse.cz.
BMC health services research
|November 11, 2023
概括
本研究通过使用数据包裹分析 (DEA) 计算国家差异来解决卫生系统的效率问题. 它为捷克共和国确定了同行国家,以改善健康结果和中间产出.
科学领域:
- 卫生政策分析 卫生政策分析
- 卫生经济学 卫生经济学
- 比較醫療系統研究 比較醫療系統研究
背景情况:
- 国际上对卫生系统绩效的比较很常见,但往往忽视了国家特定的非同质性.
- 评估卫生系统的效率需要承认和解决国家之间的差异的模型.
研究的目的:
- 使用数据包围分析 (DEA) 模型评估卫生系统的效率,这些模型包含了各国之间的非同质性.
- 提供一个框架来比较卫生系统,同时考虑不同的国家背景.
主要方法:
- 使用数据包装分析 (DEA),一种效率评估方法,适应处理非同质性.
- 制定了14条建议,以解决DEA模型中的非同质性问题.
- 分析了38个经济合作与发展组织 (OECD) 成员国2019年数据.
主要成果:
- 应用DEA模型与邻里距离测量和经济发展约束来评估捷克共和国的卫生系统效率.
- 在中期产出生产 (医生咨询,住院护理) 中,为捷克共和国确定了同行国家 (波兰,斯洛伐克,斯洛文尼亚).
- 在健康结果生产 (预期寿命) 中,为捷克共和国确定了同行国家 (法国,意大利,瑞士).
结论:
- 数据包装分析 (DEA) 的结果是指导性的,应与其他方法相结合,用于全面评估卫生系统.
- DEA是作为一个探索性工具,而不是排名或判断卫生系统优越性的最终方法.
- 承认和建模非同质性对于有意义的国际卫生系统比较至关重要.
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