Success rate and predictive factors of return to work after the implementation of a return-to-work trajectory: A retrospective cohort study

Author:

Boets Isabelle1,Luyten Steven2,Vandenbroeck Sofie1,Godderis Lode1

Affiliation:

1. KU Leuven, University of Leuven

2. National Union of Liberal Health Insurance Funds (LM-ML)

Abstract

Abstract Purpose: To reduce long-term absenteeism, several countries take legislative initiatives. In this study, we evaluate the impact of a legally defined return-to-work (RTW) trajectory on the RTW of sick-listed employees.Methods: We conducted a retrospective registered-based cohort study on Belgian employees (N = 1416) who followed a RTW-trajectory in 2017. We linked workers’ data from a Service for Prevention and Protection at Work with data from the Crossroads Bank for Social Security. We analysed how many employees RTW with the same employer, with another employer or not at all. By multinomial logistic regression, we analysed which characteristics are predictive for RTW.Results: One year after their trajectory, 69.2% of employees did not RTW, 10.7% did RTW with the same employer, 20.1% did RTW with a new employer. Duration of sickness absence (SA) was an important predictor for both RTW with the same as with another employer. When duration of SA exceeded six months, odds of RTW were lower than when the duration of SA was < six months. Marital status, organization-size, and decision of occupational physician had significant impact on RTW with the same employer, while age and who initiated the trajectory were key factors for RTW with another employer. Conclusions: 30.8% of employees succeeded to RTW after their trajectory. Results show that a one-size-fits-all-approach is not recommended. A stepped approach with an early, informal start of the RTW-process should be implemented. When employees or employers fail to initiate RTW on their own, a legally defined RTW-trajectory could be useful.

Publisher

Research Square Platform LLC

Reference33 articles.

1. Denys J, België is ziek: Op zoek naar de oorzaken van de sterke stijging ziekte en invaliditeit in België 2010–2019 [Belgium is sick: Looking for the causes of the sharp increase in illness and disability in Belgium 2010–2019]. 2021.

2. Rijksinstituut voor ziekte- en invaliditeitsuitkering. Statistieken van de uitkeringen over 2018 [Benefit statistics for 2018]. 2018.

3. Spasova S, Bouget D, Vanhercke B. Sick pay and sickness benefit schemes in the European Union. Background report for the Social Protection Committee’s In-Depth Review on sickness benefits, 2016.

4. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017;James SL;The Lancet,2018

5. Effectiveness of a blended web-based intervention on return to work for sick-listed employees with common mental disorders: results of a cluster randomized controlled trial;Volker D;J Med Internet Res,2015

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