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Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic

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. METHODS: Routinely collect...

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Autores principales: Aben, Bart, Kok, Robin N, de Wind, Astrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nordic Association of Occupational Safety and Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621901/
https://www.ncbi.nlm.nih.gov/pubmed/36587298
http://dx.doi.org/10.5271/sjweh.4077
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author Aben, Bart
Kok, Robin N
de Wind, Astrid
author_facet Aben, Bart
Kok, Robin N
de Wind, Astrid
author_sort Aben, Bart
collection PubMed
description 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. 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. 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. 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.
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spelling pubmed-106219012023-11-03 Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic Aben, Bart Kok, Robin N de Wind, Astrid Scand J Work Environ Health Original Article 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. 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. 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. 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. Nordic Association of Occupational Safety and Health 2023-04-01 2023-03-30 /pmc/articles/PMC10621901/ /pubmed/36587298 http://dx.doi.org/10.5271/sjweh.4077 Text en Copyright: © Scandinavian Journal of Work, Environment & Health https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Original Article
Aben, Bart
Kok, Robin N
de Wind, Astrid
Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title_full Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title_fullStr Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title_full_unstemmed Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title_short Return-to-work rates and predictors of absence duration after COVID-19 over the course of the pandemic
title_sort return-to-work rates and predictors of absence duration after covid-19 over the course of the pandemic
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621901/
https://www.ncbi.nlm.nih.gov/pubmed/36587298
http://dx.doi.org/10.5271/sjweh.4077
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