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Dataset Information

Identifying return to work trajectories among employees on sick leave due to mental health problems using latent class transition analysis.


ABSTRACT:

Objectives

To develop effective return to work (RTW) interventions for employees on sick leave due to mental health problems (MHPs), a better understanding of individual variation in the RTW process is needed. We investigated which RTW trajectories can be identified among employees with MHPs in terms of RTW duration and relapse occurrence during the RTW process. Additionally, we examined how different RTW trajectories can be described in terms of personal and work characteristics.

Methods

Longitudinal sickness absence registry data were collected retrospectively from the largest Dutch occupational health service. Quantitative RTW information as well as personal and work characteristics were extracted. In total, 9517 employees with a sickness absence due to MHPs were included

SUBMITTER: Spronken M 

PROVIDER: S-EPMC7202700 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature