Corrigendum: Psychosocial Factors Associated With Resilience Among Iranian Nurses During COVID-19 Outbreak.

[This corrects the article DOI: 10.3389/fpubh.2021.714971.].

Psychosocial Factors Associated With Resilience Among Iranian Nurses During COVID-19 Outbreak.

Background: In the face of COVID-19, healthcare workers need to cope with the ongoing stressors at play and keep psychological distress at a minimum level. This study examined the psychosocial and demographic factors associated with nurse's resilience in the hospitals of Ahvaz that is one of the top cities infected with COVID-19 in Iran. Methods: The present cross-sectional study was conducted on 387 Iranian nurses in Ahvaz city. For data collection purposes, three online questionnaires (including Copenhagen Psychosocial, Demographic, and Connor-Davidson Resilience Scale) were distributed among the participants. Results: The mean resilience score was equal to 61.8 ± 14.8 for 387 nurses. Resilience had a statistically significant negative correlation with quantitative demand (r = -0.273, P < 0.008), work pace (r = -0.262, P < 0.011), emotional demand (r = -0.226, P < 0.030), stress (r = -0.458, P < 0.000), and burnout (r = -0.287, P < 0.005). Multiple linear regression analysis indicated that stress, job satisfaction, burnout and age were the main predictors of nurses' resilience during the (COVID-19) pandemic (R2 = 0.45). Conclusions: We identified psychosocial and demographic predictive factors that may contribute to greater resilience among nurses during the COVID-19 outbreak. The findings of this study can be used to implement psychosocial interventions to amplify the resilience of medical staff during the COVID-19 outbreak.

Demographic predictors of resilience among nurses during the COVID-19 pandemic.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is mostly transmitted through respiratory droplets. One of the exposure methods pf this disease is through occupational exposures and, thereby, a large number of people are prone to catching this disease due to their occupations. Nurses during the COVID-19 pandemic are at the forefront of healthcare. There is no information about the level of resilience and the demographic and job factors predicting resilience in the critical conditions of this occupational group. OBJECTIVE: The present study aims to determine the resilience score and its predictive demographic factors among the nurses working at the hospitals involved with COVID-19 in Ahvaz, Iran. METHODS: 387 nurses from Ahvaz hospitals participated in this study. The Connor-Davidson Resilience Scale (CD-RISC) was used to assess resilience. Demographic information was also collected using a designed questionnaire. Since the present study was conducted during the COVID-19 pandemic, the questionnaires were sent online. Data were entered into software SPSS (version 23) and T-test, ANOVA and regression methods were used for data analysis. RESULTS: The mean score of 61.18 (±14.8) was obtained for CD-RISC. The results of this study showed that age (r = 0.610, P = 0.003), work experience (r = 0.572, P = 0.030), and level of education (r = 0.514, P = 0.044) had a significant positive correlation with nurses' resilience score during the COVID-19 pandemic. Multiple regression analysis indicated that work experience and level of education were the predictors of nurses' resilience (R2 = 0.15). CONCLUSION: The score of nurses' resilience was low. Based on the results, education and work experience were determined as the contributing factors for resilience. The findings can help to better understand effective and predictive demographic factors to achieve higher resilience in stressful situations.