Long-term sickness absence in a working population: development and validation of a risk prediction model in a large Dutch prospective cohort.

ABSTRACT: BACKGROUND:Societal expenditures on work-disability benefits is high in most Western countries. As a precursor of long-term work restrictions, long-term sickness absence (LTSA) is under continuous attention of policy makers. Different healthcare professionals can play a role in identification of persons at risk of LTSA but are not well trained. A risk prediction model can support risk stratification to initiate preventative interventions. Unfortunately, current models lack generalizability or do not include a comprehensive set of potential predictors for LTSA. This study is set out to develop and validate a multivariable risk prediction model for LTSA in the coming year in a working population aged 45-64 years. METHODS:Data from 11,221 working persons included in the prospective Study on T

SUBMITTER: van der Burg LRA 

PROVIDER: S-EPMC7227258 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature