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A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis

机译:在5年经济危机期间基于窗口DEA的希腊公立医院部门效率评估

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摘要

The main objective of this study was to apply the non-parametric method of Data Envelopment Analysis (DEA) to measure the efficiency of Greek NHS hospitals between 2009–2013. Hospitals were divided into four separate groups with common characteristics which allowed comparisons to be carried out in the context of increased homogeneity. The window-DEA method was chosen since it leads to increased discrimination on the results especially when applied to small samples and it enables year-by-year comparisons of the results. Three inputs -hospital beds, physicians and other health professionals- and three outputs—hospitalized cases, surgeries and outpatient visits- were chosen as production variables in an input-oriented 2-year window DEA model for the assessment of technical and scale efficiency as well as for the identification of returns to scale. The Malmquist productivity index together with its components (i.e. pure technical efficiency change, scale efficiency change and technological scale) were also calculated in order to analyze the sources of productivity change between the first and last year of the study period. In the context of window analysis, the study identified the individual efficiency trends together with “all-windows” best and worst performers and revealed that a high level of technical and scale efficiency was maintained over the entire 5-year period. Similarly, the relevant findings of Malmquist productivity index analysis showed that both scale and pure technical efficiency were improved in 2013 whilst technological change was found to be in favor of the two groups with the largest hospitals.
机译:这项研究的主要目的是应用数据包络分析(DEA)的非参数方法来衡量2009-2013年间希腊NHS医院的效率。医院被分为具有共同特征的四个独立的组,这允许在同质性增加的情况下进行比较。选择window-DEA方法是因为它导致对结果的辨别力增加,尤其是应用于小样本时,并且可以逐年比较结果。在面向输入的两年窗口DEA模型中,选择了三项输入(医院病床,医生和其他卫生专业人员)和三项输出(住院病例,手术和门诊就诊)作为生产变量,以评估技术和规模效率至于确定规模收益。还分析了马尔姆奎斯特生产率指数及其组成部分(即纯技术效率变化,规模效率变化和技术规模),以便分析研究期第一年和最后一年之间生产率变化的来源。在窗口分析的背景下,该研究确定了各个效率趋势以及“全窗口”表现最佳和最差的表现,并揭示了在整个5年期间都保持了较高的技术效率和规模效率。同样,Malmquist生产率指数分析的相关结果表明,2013年规模和纯技术效率均得到改善,而技术变革被发现有利于拥有最大医院的两组。

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