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Paper published in a journal (Scientific congresses and symposiums)
Predicting long-term sickness absence and supporting return-to work processes using questionnaires
Goorts, Kaat
;
Rusu, Dorina
;
Du Bois, Marc
et al.
2018
•
In
Occupational and Environmental Medicine, 75
(Suppl 2), p. 555-556
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/2268/289754
DOI
10.1136/oemed-2018-ICOHabstracts.1573
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OEM2018_predicting long-term sickness absence.pdf
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Keywords :
disability; sickness absence; return to work
Disciplines :
Public health, health care sciences & services
Author, co-author :
Goorts, Kaat;
KULeuven
Rusu, Dorina
;
Université de Liège - ULiège > Département des sciences de la santé publique > Médecine du travail et environnementale
Du Bois, Marc;
KULeuven
Vandenbroeck, Sofie;
KULeuven
Duchesnes, Christiane
;
Université de Liège - ULiège > Département des sciences cliniques > Médecine générale
Mairiaux, Philippe
;
Université de Liège - ULiège > Département des sciences de la santé publique
Decuman, Saskia;
RIZIV-INAMI
Godderis, Lode;
KULeuven
Language :
English
Title :
Predicting long-term sickness absence and supporting return-to work processes using questionnaires
Publication date :
2018
Event name :
32nd triennal ICOH Congress
Event organizer :
International Commission on Occupational Health
Event date :
1-4th May
Audience :
International
Journal title :
Occupational and Environmental Medicine
ISSN :
1351-0711
eISSN :
1470-7926
Publisher :
BMJ Publishing Group, United Kingdom
Volume :
75
Issue :
Suppl 2
Pages :
A555-556
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 20 April 2022
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47 (5 by ULiège)
Number of downloads
24 (2 by ULiège)
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