Designing a comprehensive model of hospital resilience in the face of COVID-19 disease
| Autor: | Mehran Ziaeian, Ali Ajdari, ali saffari darberazi, Pooria Malekinejad |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
lcsh:R5-920
2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) 030503 health policy & services Health Policy Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Face (sociological concept) Health Informatics Disease structural equation modeling Structural equation modeling 03 medical and health sciences 0302 clinical medicine Health Information Management Risk analysis (engineering) Emergency Medicine 030212 general & internal medicine Sociology interpretive structural modeling lcsh:Medicine (General) 0305 other medical science Resilience (network) hospital resilience |
| Zdroj: | مدیریت سلامت, Vol 23, Iss 2, Pp 76-88 (2020) |
| ISSN: | 2008-1219 2008-1200 |
| DOI: | 10.29252/jha.23.2.76 |
| Popis: | 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 countrychr('39')s hospitals resilience in the face of natural disasters and unforeseen accidents. |
| Databáze: | OpenAIRE |
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