TY - JOUR T1 - Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic JO - Scandinavian Journal of Work, Environment & Health PY - 2023/4VL - 49 IS - 3 SP - 182 EP - 192 AU - Aben, Bart AU - Kok, Robin N AU - de Wind, Astrid M3 - doi: 10.5271/sjweh.4077 UR - https://www.sjweh.fi/show_abstract.php?abstract_id=4077 KW - absence KW - COVID-19 KW - Cox proportional hazards model KW - long COVID KW - occupational health KW - occupational health KW - pandemic KW - predictor KW - return to work KW - return-to-work KW - RTW KW - SARS-CoV-2 KW - sick leave KW - sickness absence KW - survival analysis N2 - '

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OBJECTIVES ': 'The aim of this study was to evaluate employee return-to-work (RTW) rates and examine predictors of absence duration after COVID-19. RTW rates were referenced against RTW rates after absence due to flu-like symptoms and assessed over the course of the pandemic.

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METHODS ': 'Routinely collected data from a nationally operating Dutch occupational health service was used. The data were retrieved from employees who reported sick due to COVID-19 (N=30 396) or flu-like symptoms (N=15 862). Data consisted of responses to a triage survey combined with longitudinal register-based information on sickness absence. RTW rates after COVID-19 were evaluated through Kaplan-Meier estimates and compared to RTW rates for flu-like symptoms, and between three periods with different dominant virus variants. Predictors for absence duration were examined through Cox proportional hazards models.

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RESULTS ': 'RTW after COVID-19 was found to be notably later than after flu-like symptoms (median RTW=10 versus 6 days, respectively). On average, 5.5% of employees who contracted COVID-19 were absent for over 12 weeks. Time-to-RTW shortened as different virus variants became dominant over time. The main predictors contributing to later RTW were older age, female sex, belonging to a risk group, and the symptoms shortness of breath and fatigue.

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CONCLUSIONS ': 'Estimates of the RTW rate after COVID-19 and identification of predictors may aid healthcare professionals in gaining insight into variations in the disease course and rehabilitation process. The present findings can help employers and policy-makers grasp the impact of COVID-19 on the workplace.

SN - 0355-3140 ER -