Analysis of Resilience to Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components
Introduction: Enhancing the level of resilience to crisis is one of the key goals in medical environments. Various parameters can affect resilience to crisis. This study was designed and conducted to analyze resilience to crisis in medical environments based on crisis management components.
Method: The present study was a cross-sectional, descriptive-analytical study that was performed in 2020 in 14 hospitals and medical centers. Based on Cochran's formula, the sample size was estimated to be 343.5. Data collection in this study was performed using a 44-item crisis management questionnaire of Azadian et al. (2016). The components of crisis management in this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility and transparency. Analysis of study data was done based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0.
Results: The means of age and work experience of the participants in this study were 37.78±8.14 and 8.22±4.47 years, respectively. resilience to crisis index based on crisis management components was estimated 2.96±0.87. The results structural equation modeling of resilience to crisis showed that all components of crisis management have a significant relationship with this index (p <0.05). The highest and lowest impacts on resilience to crisis index were related to Preparedness (E=0.88) and Transparency (E=0.60). Goodness of fit indices of this model including RMSEA, CFI, NFI and NNFI (TLI) are estimated 2.86, 0.071, 0.965, 0.972 and 0.978, respectively.
Conclusion: The findings of the study indicated that the resilience to crisis index was moderately evaluated in the medical environments. Furthermore, based on the results of structural equation modeling, in prioritizing measures to increase the level of resilience, the impact of each component on the resilience to crisis index should be considered.
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|Issue||Vol 13 No 2 (2021)|
|resilience medical environment crisis structural equation modeling|
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