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运用数据包络分析(DEA)于医疗保健领域,特别是医院方面。

The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals.

机构信息

Chair of Health Care Operations/Health Information Management, Faculty of Business and Economics, University of Augsburg, Universitätsstraße 16, 86159, Augsburg, Germany.

University Center of Health Sciences at Klinikum Augsburg (UNIKA-T), Neusässer Straße 47, 86156, Augsburg, Germany.

出版信息

Health Care Manag Sci. 2019 Jun;22(2):245-286. doi: 10.1007/s10729-018-9436-8. Epub 2018 Feb 24.

Abstract

The healthcare sector in general and hospitals in particular represent a main application area for Data Envelopment Analysis (DEA). This paper reviews 262 papers of DEA applications in healthcare with special focus on hospitals and therefore closes a gap of over ten years that were not covered by existing review articles. Apart from providing descriptive statistics of the papers, we are the first to examine the research purposes of the publications. These research goals can be grouped into four distinct clusters according to our proposed framework. The four clusters are (1) "Pure DEA efficiency analysis", i.e. performing a DEA on hospital data, (2) "Developments or applications of new methodologies", i.e. applying new DEAy approaches on hospital data, (3) "Specific management question", i.e. analyzing the effects of managerial specification, such as ownership, on hospital efficiency, and (4) "Surveys on the effects of reforms", i.e. researching the impact of policy making, such as reforms of health systems, on hospital efficiency. Furthermore, we analyze the methodological settings of the studies and describe the applied models. We analyze the chosen inputs and outputs as well as all relevant downstream techniques. A further contribution of this paper is its function as a roadmap to important methodological literature and publications, which provide crucial information on the setup of DEA studies. Thus, this paper should be of assistance to researchers planning to apply DEA in a hospital setting by providing information on a) what has been published between 2005 and 2016, b) possible pitfalls when setting up a DEA analysis, and c) possible ways to apply the DEA analysis in practice. Finally, we discuss what could be done to advance DEA from a scientific tool to an instrument that is actually utilized by managers and policymakers.

摘要

一般来说,医疗保健部门,特别是医院,是数据包络分析(DEA)的主要应用领域。本文综述了 262 篇关于医疗保健中 DEA 应用的论文,特别关注医院,因此填补了现有综述文章未涵盖的十多年空白。除了提供论文的描述性统计数据外,我们还是第一个检查出版物研究目的的人。根据我们提出的框架,这些研究目标可以分为四个不同的集群。这四个集群是:(1)“纯 DEA 效率分析”,即在医院数据上进行 DEA;(2)“新方法的开发或应用”,即在医院数据上应用新的 DEA 方法;(3)“特定管理问题”,即分析管理规范的效果,如所有权,对医院效率的影响;(4)“改革效果调查”,即研究政策制定的影响,如卫生系统改革,对医院效率的影响。此外,我们分析了研究的方法设置,并描述了应用的模型。我们分析了所选的投入和产出以及所有相关的下游技术。本文的另一个贡献是它作为重要方法文献和出版物的路线图的功能,这些文献和出版物提供了关于 DEA 研究设置的关键信息。因此,本文应该有助于计划在医院环境中应用 DEA 的研究人员,提供以下信息:a)2005 年至 2016 年期间已发表的内容;b)设置 DEA 分析时可能出现的陷阱;c)在实践中应用 DEA 分析的可能方法。最后,我们讨论了如何将 DEA 从科学工具提升为管理者和政策制定者实际使用的工具。

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