运用数据包络分析（DEA）评估健康研究中心的知识生产效率：以伊朗为例。

Measuring Efficiency of Knowledge Production in Health Research Centers Using Data Envelopment Analysis (DEA): A Case Study in Iran.

作者信息

Amiri Mohammad Meskarpour, Nasiri Taha, Saadat Seyed Hassan, Anabad Hosein Amini, Ardakan Payman Mahboobi

机构信息

Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Electron Physician. 2016 Nov 25;8(11):3266-3271. doi: 10.19082/3266. eCollection 2016 Nov.

DOI:10.19082/3266

PMID:28344756

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5358925/

Abstract

INTRODUCTION

Efficiency analysis is necessary in order to avoid waste of materials, energy, effort, money, and time during scientific research. Therefore, analyzing efficiency of knowledge production in health areas is necessary, especially for developing and in-transition countries. As the first step in this field, the aim of this study was the analysis of selected health research center efficiency using data envelopment analysis (DEA).

METHODS

This retrospective and applied study was conducted in 2015 using input and output data of 16 health research centers affiliated with a health sciences university in Iran during 2010-2014. The technical efficiency of health research centers was evaluated based on three basic data envelopment analysis (DEA) models: input-oriented, output-oriented, and hyperbolic-oriented. The input and output data of each health research center for years 2010-2014 were collected from the Iran Ministry of Health and Medical Education (MOHE) profile and analyzed by R software.

RESULTS

The mean efficiency score in input-oriented, output-oriented, and hyperbolic-oriented models was 0.781, 0.671, and 0.798, respectively. Based on results of the study, half of the health research centers are operating below full efficiency, and about one-third of them are operating under the average efficiency level. There is also a large gap between health research center efficiency relative to each other.

CONCLUSION

It is necessary for health research centers to improve their efficiency in knowledge production through better management of available resources. The higher level of efficiency in a significant number of health research centers is achievable through more efficient management of human resources and capital. Further research is needed to measure and follow the efficiency of knowledge production by health research centers around the world and over a period of time.

摘要

引言

为避免科学研究过程中材料、能源、人力、资金和时间的浪费，进行效率分析很有必要。因此，分析卫生领域知识生产的效率很有必要，尤其是对发展中国家和转型国家而言。作为该领域的第一步，本研究旨在运用数据包络分析（DEA）对选定的卫生研究中心的效率进行分析。

方法

本回顾性应用研究于2015年开展，使用了2010 - 2014年期间伊朗一所健康科学大学下属16个卫生研究中心的投入和产出数据。基于三种基本的数据包络分析（DEA）模型对卫生研究中心的技术效率进行评估：投入导向型、产出导向型和双曲导向型。每个卫生研究中心2010 - 2014年的投入和产出数据从伊朗卫生和医学教育部（MOHE）档案中收集，并通过R软件进行分析。