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

被引:12
|
作者
Aben, Bart [1 ,4 ]
Kok, Robin N. [1 ,2 ]
de Wind, Astrid [3 ]
机构
[1] HumanTotalCare BV, Dept Res & Dev, Zwarte Woud 10, Utrecht, Netherlands
[2] Univ Amsterdam, Amsterdam UMC Locat, Publ & Occupat Hlth, Meibergdreef 9, Amsterdam, Netherlands
[3] Amsterdam Publ Hlth, Societal Participat & Hlth, Amsterdam, Netherlands
[4] HumanTotalCare BV, Dept Res & Dev, Zwarte Woud 10, NL-3524 SJ Utrecht, Netherlands
关键词
Key terms Cox proportional hazards model; long COVID; occupational health; return to work; RTW; SARS-CoV-2; sick leave; sickness absence; survival analysis;
D O I
10.5271/sjweh.4077
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Aben B, Kok RN, de Wind A. Return-to-work rates and predictors of absence duration after COVID-19 over the course of the 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.
引用
收藏
页码:182 / 192
页数:11
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