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1.
J Occup Environ Med ; 65(7): 590-594, 2023 Jul 01.
Article in English | MEDLINE | ID: covidwho-2279387

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.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Pandemics , Tertiary Care Centers , Cross-Sectional Studies , Health Personnel , Sick Leave
2.
Psychol Res Behav Manag ; 15: 811-821, 2022.
Article in English | MEDLINE | ID: covidwho-1855209

ABSTRACT

Background: Healthcare workers (HCWs) have been severely impacted by the COVID-19 pandemic. In addition to their risk of direct exposure to the virus, they were subjected to long working hours, scarcity of PPE, and additional stressors that impacted their psychological wellbeing. The purpose of this study was to assess anxiety and its predictors among a sample of HCWs at the American University of Beirut Medical Center (AUBMC) and to evaluate the association between resilience and anxiety. Methods: This cross-sectional study was conducted using an online survey between March and June 2021 among HCWs at AUBMC. The psychosocial scale section included the 7-item generalized anxiety disorder (GAD-7) scale and a 25-item resilience scale, validated tools used to assess anxiety and resilience respectively. Data were analyzed on SPSS version 27, and descriptive statistics were applied. Predictors were evaluated using bivariate and multivariate linear regression. Results: From a total of 92 participants, 75% were involved in direct patient care, and of those, 95% worked directly with suspected or confirmed COVID-19 patients. The majority (83%) had minimal to mild anxiety, whereas the rest had moderate to high anxiety levels. Around 41% reported moderately high to high resilience, 47% were found to be between the low end and moderate resilience scale and only 12% had very low or low resilience. More than 80% of the participants received PPE training, reported always working with adequate preventive infection control measures, and were vaccinated. Further, more than 70% of participants reported trusting the management and agreed that the safety of the workers is considered a high priority. No significant association between sociodemographic and COVID-19 work exposure factors with anxiety was found. Multivariate analysis results showed that a lower anxiety score was associated with higher resilience (p = 0.011). Conclusion: This study has shown a strong association between low anxiety levels and high resilience scores in this group of mostly vaccinated HCWs caring for COVID-19 patients. The high percentage of vaccination along with PPE availability could explain the low anxiety levels reported among the participants.

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