Designing a comprehensive model of hospital resilience in the face of COVID-19 disease
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..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
مدیریت سلامت - 23(2020), 2, Seite 76-88 |
| Sprache: |
Persisch |
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| Beteiligte Personen: |
ali saffari darberazi [VerfasserIn] |
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| Links: |
doaj.org [kostenfrei] |
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| Themen: |
Hospital resilience |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ05533864X |
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| 520 | |a 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. | ||
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