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伊朗医院的效率:系统评价与荟萃分析

Hospitals' efficiency in Iran: A systematic review and meta-analysis.

作者信息

Mahdiyan Somayeh, Dehghani Ali, Tafti Arefe Dehghani, Pakdaman Mohsen, Askari Roohollah

机构信息

Management of Health Services, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Statistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

出版信息

J Educ Health Promot. 2019 Jun 27;8:126. doi: 10.4103/jehp.jehp_393_18. eCollection 2019.

Abstract

BACKGROUND

Given that the need to pay attention to measuring efficiency is considered as one of the main pillars of improving the level of efficiency in hospitals, so this study was carried out aimed to determine the mean technical efficiency (The technical efficiency is bound by zero and one and a score of less than one means that the theatre is inefficient as it could) score in terms of type and activity of the hospital, input-oriented and output-oriented attitude, returns to scale (In economics, returns to scale and economies of scale are related but different concepts that describe what happens as the scale of production increases in the long run, when all input levels including physical capital usage are variable (chosen by the firm). The concept of returns to scale arises in the context of a firm's production function. It explains the behavior of the rate of increase) in hospitals of Iran using data envelopment analysis (DEA) (DEA is a nonparametric method in operations' research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision-making units) and stochastic frontier analysis (SFA) (SFA is a method of economic modeling. It has its starting point in the stochastic production frontier models simultaneously introduced by Aigner, Lovell and Schmidt and Meeusen and Van den Broeck.

MATERIALS AND METHODS

The present study was carried out with a systematic review of all studies conducted on measuring efficiency of hospitals in Iran from March 21, 2001 to December 21, 2017 using DEA and SFA. Eleven databases were searched using appropriate keywords and 470 articles were found and evaluated using a checklist, and finally, 24 articles were entered into the meta-analysis process. Meta-analysis was performed using random effect model and fixed-effect model, and study heterogeneity was investigated using Q-Cochran test and index. Furthermore, the main reasons of study heterogeneity were identified due to meta-regression.

RESULTS

The average technical efficiency score of hospitals using DEA and SFA method was obtained equal to 0.885 and 0.809, respectively. Furthermore, with regard to the DEA method, 0.885, 0.891.0.952 and 0.913 was obtained for input-oriented and output-oriented, general and specialized care hospitals and constant returns respectively. With regard to SFA method, 0.733, 0.664, 0.641, 0.802, was obtained, and the inputs and outputs affect measuring the efficiency.

DISCUSSION

In contrast, the DEA method can investigate several input and output simultaneously and is used as an effective and flexible tool in order to measure the efficiency of the hospital. DEA can be easily used for calculating efficiency scores based on the proper selection of input and output indicators. The data envelopment analysis method and different input and output variables have been used in most studies conducted in Iran, and Stochastic Frontier Analysis has been less considered. In the present study, the DEA method in governmental educational hospitals showed a higher efficiency than SFA method in the hospitals under study. But in general, due to lack of optimal efficiency level in the hospital, it is suggested that policymakers determine the hospital efficiency indices in order to evaluate their efficiency from different dimensions.

CONCLUSION

The average technical efficiency score of hospitals using DEA and SFA method was obtained equal to 0.885 and 0.809, respectively. Also, the mean technical efficiency score in terms of input-oriented and output-oriented, general and specialized care hospitals and constant returns to scale using the DEA method was obtained equal to 0.885, 0.891.0.952 and 0.913 and using the SFA method, respectively, it was equal to 0.733, 0.664, 0.641, 0.802, and the inputs and outputs affecting measuring the efficiency. There is no significant difference between the mean efficiency score between the two methods, but the data envelopment analysis method is used more. It is suggested that the hospitals efficiency indicators to be determined in order to more accurately evaluate the hospitals efficiency.

摘要

背景

鉴于关注效率测量被视为提高医院效率水平的主要支柱之一,因此开展本研究旨在使用数据包络分析(DEA)(DEA是运筹学和经济学中用于估计生产前沿的非参数方法,用于实证测量决策单元的生产效率)和随机前沿分析(SFA)(SFA是一种经济建模方法,它起源于由艾格纳、洛弗尔和施密特以及米森和范登布罗克同时引入的随机生产前沿模型)来确定伊朗医院在类型和活动、投入导向和产出导向态度、规模报酬(在经济学中,规模报酬和规模经济是相关但不同的概念,描述了长期生产规模增加时会发生什么,此时包括实物资本使用在内的所有投入水平都是可变的(由企业选择)。规模报酬的概念出现在企业生产函数的背景下,它解释了增长率的行为)方面的平均技术效率(技术效率介于0和1之间,得分低于1意味着手术室效率低下,因为它本可以)得分。

材料与方法

本研究通过系统回顾2001年3月21日至2017年12月21日在伊朗进行的所有使用DEA和SFA测量医院效率的研究来开展。使用适当的关键词搜索了11个数据库,共找到470篇文章,并使用清单进行评估,最终24篇文章进入荟萃分析过程。使用随机效应模型和固定效应模型进行荟萃分析,并使用Q - Cochr an检验和I²指数研究研究异质性。此外,通过元回归确定研究异质性的主要原因。

结果

使用DEA和SFA方法得出的医院平均技术效率得分分别为0.885和0.809。此外,就DEA方法而言,投入导向和产出导向、综合和专科医院以及规模报酬不变的情况下分别得到0.885、0.891、0.952和0.913。就SFA方法而言,得到0.733、0.664、0.641、0.802,且投入和产出会影响效率测量。

讨论

相比之下,DEA方法可以同时研究多个投入和产出,并且作为一种有效且灵活的工具用于测量医院效率。基于对投入和产出指标的适当选择,DEA可以轻松用于计算效率得分。数据包络分析方法以及不同的投入和产出变量在伊朗进行的大多数研究中都有使用,而随机前沿分析较少被考虑。在本研究中,政府教育医院中的DEA方法显示出比研究中的医院的SFA方法更高的效率。但总体而言,由于医院缺乏最优效率水平,建议政策制定者确定医院效率指标以便从不同维度评估其效率。

结论

使用DEA和SFA方法得出的医院平均技术效率得分分别为0.885和0.809。此外,使用DEA方法在投入导向和产出导向、综合和专科医院以及规模报酬不变方面的平均技术效率得分分别为0.885、0.891、0.952和0.913,使用SFA方法时分别为0.733、0.664、0.641、0.802,且投入和产出影响效率测量。两种方法的平均效率得分之间没有显著差异,但数据包络分析方法使用得更多。建议确定医院效率指标以便更准确地评估医院效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4802/6615121/dba353a33c04/JEHP-8-126-g001.jpg

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