Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1785130452144619520 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10621901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nordic Association of Occupational Safety and Health |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT abenbart returntoworkratesandpredictorsofabsencedurationaftercovid19overthecourseofthepandemic AT kokrobinn returntoworkratesandpredictorsofabsencedurationaftercovid19overthecourseofthepandemic AT dewindastrid returntoworkratesandpredictorsofabsencedurationaftercovid19overthecourseofthepandemic |