数据环境分析 (DEA) 医院效率测量的输入和输出选择方法:系统性审查
M Zulfakhar Zubir1,2, A Azimatun Noor2, A M Mohd Rizal2
1Medical Development Division, Ministry of Health Malaysia, Putrajaya, Malaysia.
PloS one
|August 14, 2024
概括
本综述使用数据包裹分析 (DEA) 分析医院效率. 它确定了通用的输入/输出变量选择方法,并为未来在医疗保健中的DEA研究提出了建议.
科学领域:
- 医疗保健管理的管理
- 运营研究 运营研究
- 计量经济学 计量经济学
背景情况:
- 数据包围分析 (DEA) 是评估效率和生产力的关键工具,特别是在医疗保健领域.
- 医院经常使用DEA进行绩效评估,因此需要对其应用和开发进行审查.
研究的目的:
- 在医院的DEA研究中检查输入和输出变量选择方法.
- 识别医疗保健行业DEA方法的最新发展和趋势.
主要方法:
- 按照PRISMA指南进行了一次系统的文献审查.
- 从主要的学术数据库中提取了2014-2022年间发表的89篇实证英语文章.
- 对变量选择的方法被描述性地确定并分为四组:文献综述,数据可用性,系统方法和专家判断.
主要成果:
- 在医院DEA中选择输入和输出变量的常见方法包括文献审查,数据可用性,系统方法和专家判断,通常在组合中使用.
- 医院DEA应用的趋势反映了先前的研究,没有发现任何重大新进展.
- 发现没有足够的数据来验证所有研究中DEA模型参数的最佳匹配.
结论:
- 该审查基于现有文献提供了DEA在医院应用的建议和方法原则.
- 未来的研究可以探索用于不同部门或视角的DEA变量选择的替代方法.
- 虽然DEA已经建立,但为了进行强有力的医院效率评估,需要进一步细化参数选择和验证.
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