COVID-19 Infections and Predictors of Sickness Related Absences Among Healthcare Workers: The Experience of a Tertiary Care Center With the COVID-19 Pandemic

Abstract

Background Little has been published on predictors of prolonged sick leaves during the COVID-19 pandemic. This study aims to determine the rate of COVID-19 infections among healthcare workers (HCWs) and to identify the predictors of longer sick leave days. Methods We identified predictors of longer sick leave using linear regression analysis in a cross-sectional study design. Results Thirty-three percent of the total workforce contracted COVID-19. On average, HCWs took 12.5 sick leave days after COVID-19 infection. The regression analysis revealed that older employees, nurses, and those who caught COVID-19 earlier in the pandemic were more likely to take longer sick leave. Conclusions Age, job position, and month of infection predicted sick leave duration among HCWs in our sample. Results imply that transmission was most likely community-based. Public health interventions should consider these factors when planning for future pandemics. © 2023 American College of Occupational and Environmental Medicine.