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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Reihe/Periodikum: | BMC Public Health, Vol 20, Iss 1, Pp 1-9 (2020) |
Verlag/Hrsg.: |
BMC
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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 |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1186/s12889-020-08843-x |