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dc.contributor.authorØyeflaten, Irene
dc.contributor.authorLie, Stein Atle
dc.contributor.authorIhlebæk, Camilla
dc.contributor.authorEriksen, Hege Randi
dc.date.accessioned2015-03-10T15:33:14Z
dc.date.available2015-03-10T15:33:14Z
dc.date.issued2014-06eng
dc.identifier.issn1053-0487
dc.identifier.urihttps://hdl.handle.net/1956/9495
dc.description.abstractPurpose The aim of this study was to examine if age, gender, medical diagnosis, occupation, and previous sick leave predicted different probabilities for being at work and for registered sickness benefits, and differences in the transitions between any of these states, for individuals that had participated in an interdisciplinary work-related rehabilitation program. Methods 584 individuals on long-term sickness benefits (mean 9.3 months, SD = 3.4) were followed with official register data over a 4-year period after a rehabilitation program. 66 % were female, and mean age was 44 years (SD = 9.3). The majority had a mental (47 %) or a musculoskeletal (46 %) diagnosis. 7 % had other diagnoses. Proportional hazards regression models were used to analyze prognostic factors for the probability of being on, and the intensity of transitions between, any of the following seven states during follow-up; working, partial sick leave, full sick leave, medical rehabilitation, vocational rehabilitation, partial disability pension (DP), and full DP. Results In a fully adjusted model; women, those with diagnoses other than mental and musculoskeletal, blue-collar workers, and those with previous long-term sick leave, had a lower probability for being at work and a higher probability for full DP during follow-up. DP was also associated with high age. Mental diagnoses gave higher probability for being on full sick leave, but not for transitions to full sick leave. Regression models based on transition intensities showed that risk factors for entering a given state (work or receiving sickness benefits) were slightly different from risk factors for leaving the same state. Conclusions The probabilities for working and for receiving sickness benefits and DP were dependent on gender, diagnoses, type of work and previous history of sick leave, as expected. The use of novel statistical methods to analyze factors predicting transition intensities have improved our understanding of how the processes to and from work, and to and from sickness benefits may differ between groups. Further research is required to understand more about differences in prognosis for return to work after intensive work-related rehabilitation efforts.en_US
dc.language.isoengeng
dc.publisherSpringereng
dc.relation.ispartof<a href="http://hdl.handle.net/1956/12832" target="_blank">Long-term sick leave and work rehabilitation - prognostic factors for return to work</a>
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0eng
dc.subjectSick leaveeng
dc.subjectDisability leaveeng
dc.subjectReturn to workeng
dc.subjectRehabilitation—Vocationaleng
dc.subjectRisk factorseng
dc.titlePrognostic factors for return to work, sickness benefits, and transitions between these states: A 4-year follow-up after work-related rehabilitationeng
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2015-03-05T09:15:24Zen_US
dc.description.versionpublishedVersion
dc.rights.holderCopyright 2013 The Authors
dc.identifier.doihttps://doi.org/10.1007/s10926-013-9466-5
dc.identifier.cristin1052070
dc.source.journalJournal of occupational rehabilitation
dc.source.4024
dc.source.142
dc.source.pagenumber199-212
dc.subject.nsiVDP::Medical sciences: 700::Health sciences: 800::Occupational health: 809eng
dc.subject.nsiVDP::Medisinske fag: 700::Helsefag: 800::Yrkesmedisin: 809nob


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