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 ...
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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-28612862 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://cris.maastrichtuniversity.nl/en/publications/ea47dc3a-2da7-421e-b873-630211b5cc42 |