Volume 23, Issue 2 (6-2020)
jha 2020, 23(2): 76-88 |
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saffari darberazi A, malekinejad P, Ziaeian M, Ajdari A. Designing a comprehensive model of hospital resilience in the face of COVID-19 disease. jha 2020; 23 (2) :76-88
URL: http://jha.iums.ac.ir/article-1-3312-en.html
URL: http://jha.iums.ac.ir/article-1-3312-en.html
1- PhD,Head of Research and Technology, Yazd University of Applied Science and Technology (UAST), Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran , asafaari@gmail.com
2- PhD Student ,Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
3- Master, Faculty of Management, Economics and Accounting, Shahid Ashrafi University of Isfahan, Isfahan, Iran.
4- PhD, Faculty of Management, Accounting and Economics, Islamic Azad University of Yazd, Yazd, Iran.
2- PhD Student ,Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran.
3- Master, Faculty of Management, Economics and Accounting, Shahid Ashrafi University of Isfahan, Isfahan, Iran.
4- PhD, Faculty of Management, Accounting and Economics, Islamic Azad University of Yazd, Yazd, Iran.
Abstract: (5299 Views)
Introduction: Introduction: Health centers must can adapt quickly to catastrophic events, such as natural and human disasters. One way to face various disasters in health centers is to increase resilience. This study tries to identify the affecting factors on hospital resilience and the relationship between them, to design a comprehensive model of hospital resilience in the face of COVID-19 disease.
Methods: First, the affecting factors on hospital resilience were identified using a research background study. Then, through an interpretive structural modeling (ISM) technique, a relationship model among the identified factors was obtained. The conceptual model obtained from ISM was goodness of fit by using the Smart PLS3 software. For this purpose, a questionnaire containing 33 questions was administered to 80 managers, experts, and staff of Yazd training hospitals.
Results: The results identified 8 general affecting factors on hospital resilience. The eight factors identified in this study were structured at 4 general levels by ISM. The initial level of the model consisted of "stability" and "communication system and information technology" factors. Also, the results of model goodness of fit confirmed the relationships formed by ISM.
Conclusion: The results of this study can be used by health managers for the country's hospitals resilience in the face of natural disasters and unforeseen accidents.
Methods: First, the affecting factors on hospital resilience were identified using a research background study. Then, through an interpretive structural modeling (ISM) technique, a relationship model among the identified factors was obtained. The conceptual model obtained from ISM was goodness of fit by using the Smart PLS3 software. For this purpose, a questionnaire containing 33 questions was administered to 80 managers, experts, and staff of Yazd training hospitals.
Results: The results identified 8 general affecting factors on hospital resilience. The eight factors identified in this study were structured at 4 general levels by ISM. The initial level of the model consisted of "stability" and "communication system and information technology" factors. Also, the results of model goodness of fit confirmed the relationships formed by ISM.
Conclusion: The results of this study can be used by health managers for the country's hospitals resilience in the face of natural disasters and unforeseen accidents.
Type of Study: Review |
Subject:
Health Services Management
Received: 2020/07/25 | Accepted: 2020/06/30 | Published: 2020/06/30
Received: 2020/07/25 | Accepted: 2020/06/30 | Published: 2020/06/30
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