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... Mehr ...

Verfasser: Lennart R. A. van der Burg
Sander M. J. van Kuijk
Marieke M. ter Wee
Martijn W. Heymans
Angelique E. de Rijk
Goedele A. Geuskens
Ramon P. G. Ottenheijm
Geert-Jan Dinant
Annelies Boonen
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: BMC Public Health, Vol 20, Iss 1, Pp 1-9 (2020)
Verlag/Hrsg.: BMC
Schlagwörter: Prediction model / Prediction / Long-term sickness absence / Prospective cohort study / Prevention / Calibration / Public aspects of medicine / RA1-1270
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26628482
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1186/s12889-020-08843-x