BackgroundIn the recent pandemic, nurses have faced workload and being exposed to burnout. Resilience helps address work-related psychological problems such as stressful events and burnout. According to the roles of nurses in the healthcare system, we investigated the relationship between resiliency and burnout in nurses.Material and MethodsIn this descriptive analytical cross-sectional study, 364 nurses participated from April to June 2021. Census sampling was used to recruit participants. Maslach burnout inventory (MBI), Connor-Davidson Resiliency Scale (CDRISC), and a demographic check-list were utilized to collect data. Data analysis was done using SPSS version 22. Shapiro-Wilk, Kruskal–Wallis test, Mann–Whitney U-test, correlation analysis, and generalized linear model were applied accordingly.ResultsOverall, the findings showed that nurses had severe symptoms of burnout and a moderate level of resilience. The two domains of burnout, emotional exhaustion and personal accomplishment had a significantly negative correlation with resilience (r = −0.442, p < 0.001 and r = −0.351, p = 0.03, respectively). Linear regression showed that demographic characteristics (Hospital type, ward type, gender, and overtime) were the major predictors of the 3 sub-categories of burnout. A significant negative correlation was observed between burnout and resilience highlighting the role of resilience in reducing burnout (P < 0.05).ConclusionIn order to help nurses to tackle and endure burnout in pandemic times, there is a need to implement national and local policies to help them accordingly.

BACKGROUND: Taking exercise in health sector is one of the important steps to implement the disaster risk management programs, especially preparedness phase. The present study aimed to identify indexes and factors affecting successful evaluation of disasters preparedness exercises in hot wash stage. MATERIALS AND METHODS: This study was a qualitative content analysis. Data were collected by purposeful sampling through in-depth and semi-structured individual interviews with 25 health professionals in the field of disasters. The data were analyzed using directed content analysis method by which the initial codes were extracted after transcribing the recorded interviews and immersing them in the data analysis. The initial codes were reviewed, classified, and subdivided into several stages to determine the main classes. RESULTS: The data analysis resulted in the production of 24 initial codes, 5 subcategories, 2 main categories of “evaluation and exercise debriefing” and “modification of programs and promotion of exercise operational functions” under the original theme of “exercise immediate feedback.” CONCLUSION: This study can be considered a suitable standard guide for health care organizations to evaluate successfully disasters exercises in hot wash stage, maintain and promote their preparedness, and properly respond to disasters.