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伊朗区域基层医疗和公共卫生系统的绩效评估与排名。

Performance evaluation and ranking of regional primary health care and public health Systems in Iran.

机构信息

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

Department of Health Economics, Management and Policy, Virtual School of Medical Education & Management, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

BMC Health Serv Res. 2021 Oct 28;21(1):1168. doi: 10.1186/s12913-021-07092-x.

DOI:10.1186/s12913-021-07092-x
PMID:34711209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8555133/
Abstract

BACKGROUND

The present study has been undertaken with the aim to evaluate performance and ranking of various universities of medical sciences that are responsible for providing public health services and primary health care in Iran.

METHODS

Four models; Weighted Factor Analysis (WFA), Equal Weighting (EW), Stochastic Frontier Analysis (SFA), and Data Envelopment Analysis (DEA) have been applied for evaluating the performance of universities of medical sciences. This study was commenced based on the statistical reports of the Ministry of Health and Medical Education (MOHME), census data from the Statistical Center of Iran, indicators of Vital Statistics, results of Multiple Indicator of Demographic and Health Survey 2010, and results of the National Survey of Risk Factors of non-communicable diseases.

RESULTS

The average performance scores in WFA, EW, SFA, and DEA methods for the universities were 0.611, 0.663, 0.736 and 0.838, respectively. In all 4 models, the performance scores of universities were different (range from 0.56-1, 0.53-1, 0.73-1 and 0.83-1 in WFA, EW, SFA and DEA models, respectively). Gilan and Rafsanjan universities with the average ranking score of 4.75 and 41 had the highest and lowest rank among universities, respectively. The universities of Gilan, Ardabil and Bojnourd in all four models had the highest performance among the top 15 universities, while the universities of Rafsanjan, Ahvaz, Kerman and Jiroft showed poor performance in all models.

CONCLUSIONS

The average performance scores have varied based on different measurement methods, so judging the performance of universities based solely on the results of a model can be misleading. In all models, the performance of universities has been different, which indicates the need for planning to balance the performance improvement of universities based on learning from the experiences of well-performing universities.

摘要

背景

本研究旨在评估负责提供伊朗公共卫生服务和初级卫生保健的各所医科大学的绩效和排名。

方法

应用了四种模型;加权因子分析(WFA)、等权重(EW)、随机前沿分析(SFA)和数据包络分析(DEA)来评估医科大学的绩效。本研究基于卫生部和医学教育部(MOHME)的统计报告、伊朗统计中心的普查数据、人口动态统计指标、2010 年多指标人口与健康调查结果以及非传染性疾病危险因素全国调查结果开展。

结果

WFA、EW、SFA 和 DEA 方法中,大学的平均绩效得分为 0.611、0.663、0.736 和 0.838。在所有 4 种模型中,大学的绩效得分均不同(WFA、EW、SFA 和 DEA 模型中的得分范围分别为 0.56-1、0.53-1、0.73-1 和 0.83-1)。南拉夫桑贾尼大学和吉兰大学以平均排名得分 4.75 和 41 分分别位列排名最高和最低的大学。在所有四个模型中,吉兰大学、阿尔达比勒大学和博季努尔德大学在排名前 15 位的大学中表现最佳,而拉夫桑贾尼大学、阿瓦士大学、克尔曼大学和锡尔詹大学在所有模型中表现不佳。

结论

由于不同的测量方法,平均绩效得分存在差异,因此仅基于模型结果来判断大学的绩效可能会产生误导。在所有模型中,大学的表现均不同,这表明需要进行规划,以便根据向表现良好的大学学习的经验来平衡大学的绩效提升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/2dd304d030b7/12913_2021_7092_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/b5c2d7c6a4c8/12913_2021_7092_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/57b16e369904/12913_2021_7092_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/2dd304d030b7/12913_2021_7092_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/b5c2d7c6a4c8/12913_2021_7092_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/57b16e369904/12913_2021_7092_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ddd/8555133/2dd304d030b7/12913_2021_7092_Fig3_HTML.jpg

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