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地理位置是否影响医院绩效?基于多群组数据包络分析。

Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis.

机构信息

Urmia University of Technology, Urmia, West Azerbaijan, Islamic Republic of Iran,

出版信息

J Med Syst. 2015 Sep;39(9):85. doi: 10.1007/s10916-015-0278-3. Epub 2015 Jul 25.

Abstract

Hospitals are the main and the last component of the health care systems. Therefore, evaluating the performance of hospitals is vital. Several studies are done in hospitals evaluation, but almost none of them consider the geographical features. This paper proposes a new approach for evaluating hospitals. In the proposed approach, hospitals are classified into various groups and each group is equivalent to a province. It causes hospitals in each category (province) must be evaluated in homogenous environment. For this purpose, the conventional data envelopment analysis (DEA) model has been developed to this structure. The main feature of the proposed model is that it takes into consideration the geographical location. In other words, we propose a multi-group DEA model. The data on 288 Iranian hospitals grouped under 31 provinces are used to demonstrate the model. The results show that the efficiency scores are greatly changed when hospitals are evaluated in own groups.

摘要

医院是医疗体系的主要和最后一个组成部分。因此,评估医院的绩效至关重要。已经有多项研究对医院进行了评估,但几乎没有研究考虑到地理特征。本文提出了一种新的医院评估方法。在提出的方法中,医院被分为不同的组,每个组相当于一个省。这就要求每个类别(省份)中的医院都必须在同质环境中进行评估。为此,开发了传统的数据包络分析(DEA)模型来适应这种结构。所提出模型的主要特点是它考虑到了地理位置。换句话说,我们提出了一个多组 DEA 模型。使用 288 家伊朗医院的数据,这些医院分为 31 个省份,用于演示该模型。结果表明,当医院在自己的组中进行评估时,效率得分会有很大的变化。

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