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

BackgroundSocietal 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 a... Mehr ...

Verfasser: van der Burg, Lennart R. A.
van Kuijk, Sander M. J.
ter Wee, Marieke M.
Heymans, Martijn W.
de Rijk, Angelique E.
Geuskens, Goedele A.
Ottenheijm, Ramon P. G.
Dinant, Geert-Jan
Boonen, Annelies
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: van der Burg , L R A , van Kuijk , S M J , ter Wee , M M , Heymans , M W , de Rijk , A E , Geuskens , G A , Ottenheijm , R P G , Dinant , G-J & Boonen , A 2020 , ' Long-term sickness absence in a working population : development and validation of a risk prediction model in a large Dutch prospective cohort ' , BMC Public Health , vol. 20 , no. 1 , 699 . https://doi.org/10.1186/s12889-020-08843-x
Schlagwörter: Prediction model / Prediction / Long-term sickness absence / Prospective cohort study / Prevention / Calibration / Discrimination / Development / External validation / Working persons / LOST PRODUCTIVITY / EMPLOYEES / FREQUENT / HEALTH / INDIVIDUALS / DISABILITY / WORKERS
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29021599
Datenquelle: BASE; Originalkatalog
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Link(s) : https://cris.maastrichtuniversity.nl/en/publications/ea47dc3a-2da7-421e-b873-630211b5cc42