Self-assessment in the Hospitals of Iran by using EFQM Model : Systematic review and Meta-analysis Abstract

Document Type : Research Paper

Authors

1 Health Foresight and Innovation Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

2 Health Foresight and Innovation Research Canter, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

LBL_COMMENTED_AT/ijhr.2022.315073.1498

Abstract

Background and Objective: The EFQM excellence model is one of the most well-known self-assessment models in organizations.This study aims to systematically review the experiences of Iranian hospitals in using the EFQM Excellence Model and conducting a meta-analysis on the results.
Methods: This study was conducted to retrieve published studies on the usage of the EFQM model in Iran's hospitals. After searching the Persian and English sources by using systematic review and removing repeated and non-related articles, 21 studies were entered into the meta-analysis phase. The Random effects1 model and Cochrane's Q2 test were used to control the studies' heterogeneity. Forty-two institutes were assessed in the 21 selected studies from 2005 to 2014.
Results: Among the nine examined criteria, the partnership and resource criteria have received the highest scores. Processes, leadership, and Society results were among the highest scored criteria, respectively. In contrast, the results of the People results, the Key results, and the people had the lowest score. Overall, the hospitals scored 45% for Enablers and 41% for the results.
Conclusion: A review of the criteria in the studied hospitals revealed the differences between the scores of the Enablers and results criteria; as in most hospitals, one of the Enablers criteria had the highest scores, and one of the results criteria had the lowest. This issue revealed that People's results received lower scores because these analyses are obtained by self-assessment. Accordingly, reasons such as staff dissatisfaction with the system can cause lower scores

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