Objective: In the COVID-19 pandemic era, healthcare workers suffer from psychological problems such as anxiety in response to the viral epidemic and it may decrease their quality of life (QoL). The aim of this study was to explore the influence of healthcare workers' stress and anxiety response to the viral epidemic and their organizational commitment on their QoL. We also explored the mediating effect of resilience on any association.Methods: From January 28, 2021, to January 29, 2021, 389 workers responded to an online survey that included the rating scales Stress and Anxiety to Viral Epidemics-9 items (SAVE-9), Perceived Stress Scale (PSS), Brief Resilience Scale (BRS), Organizational Commitment Questionnaire (OCQ), and the WHO-5 well-being index.Results: A better QoL (WHO well-being index top 25%) of healthcare workers during the COVID-19 pandemic era was predicted by low stress and anxiety in response to the viral epidemic [SAVE-9, adjusted odds ratio (aOR) = 0.92, 95% confidence interval (CI) 0.87–0.97], a high level of resilience (BRS, aOR = 1.26, 95%CI 1.15–1.37), and high organizational commitment (OCQ, aOR = 1.04, 95%CI 1.02–1.07). Mediation analysis showed that resilience partially mediated the effects of stress/anxiety in response to the viral epidemic and the organizational commitment on the quality of life.Conclusion: We observed that the stress and anxiety of healthcare workers in response to the viral epidemic and organizational commitment influenced their QOL. Their resilience mediated the relationship between their psychological problems and QOL.

Background and ObjectiveaaThe aim of this study is to explore the usefulness of the Stress and Anxiety to Viral Epidemic-3 items (SAVE-3) scale as a tool for assessing work-related stress in healthcare workers. MethodsaaThere were 389 participants and all remained anonymous. The SAVE-9, the Patient Health Questionnaire-4, the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS-MP), the perceived stress scale (PSS), and single item insomnia measure were used. After checking whether the SAVE-3 scale is clustered into a sole factor from SAVE-9 scale based on principal component analysis with promax rotation, confirmatory factor analysis (CFA) was done on the 3 items of the SAVE-3 to examine the factorial validity for a unidimensional structure.ResultsaaThe SAVE-3 was clustered with factor loadings from 0.664-0.752, and a CFA revealed that 3 items of the SAVE-3 cohered together into a unidimensional construct with fit for all of indices (comparative fit index = 1.00; Tucker Lewis index = 1.031; standardized root-mean-square residual = 0.001; root-mean-square-error of approximation = 0.00). The SAVE-3 scale showed acceptable reliability (Cronbach's α = 0.56 and McDonald's ω = 0.57) in this sample. A high SAVE-3 score correlated significantly with younger age (r = -0.12, p = 0.02), a high PSS score (r = 0.24, p < 0.001), a high total score for the MBI-HSS-MP (r = 0.35, p < 0.001) and all of its subscales (emotional exhaustion, r = 0.40, p < 0.001; personal accomplishment, r = -0.14, p < 0.005; depersonalization, r = 0.39, p < 0.001), and poor sleep quality (r = 0.15, p < 0.001). ConclusionsaaTaken together, the data suggest that SAVE-3 is a reliable, valid, and usable scale for measuring work-related stress in healthcare workers during the COVID-19 epidemic.