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

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 identificati...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Public Health
Subjects:
Prediction model
Prediction
Long-term sickness absence
Prospective cohort study
Prevention
Calibration
Online Access:http://link.springer.com/article/10.1186/s12889-020-08843-x

Internet

http://link.springer.com/article/10.1186/s12889-020-08843-x

Similar Items