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Predictors for return to work after multimodal rehabilitation in persons with persistent musculoskeletal pain
Luleå University of Technology.
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.ORCID iD: 0000-0001-6975-8344
Luleå University of Technology, Department of Health Sciences, Health and Rehabilitation.ORCID iD: 0000-0003-0112-4657
2018 (English)In: Edorium Journal of Disability and Rehabilitation, ISSN 2456-8392, Vol. 4, no 1, article id 100038D05SO2018Article in journal (Refereed) Published
Abstract [en]

Aims: To identify factors explaining return to work (RTW) 12 months after a multimodal rehabilitation (MMR) intervention in the REHSAM II project.

Methods: The present study is a secondary assessment of the data from the randomized controlled trial REHSAM II. A total of 97 participants with persistent musculoskeletal pain were randomly allocated to MMR + web-based education or only MMR. The subjects were followed from baseline to 12 months. The baseline variables from the outcome measures were used to identify predictors. The associations between the dependent variable (i.e., RTW) and independent variables (i.e., baseline variables) were analyzed with univariate and multiple logistic regression models.

Results: The univariate regression analyses showed that pain and disability level, the capacity to perform a task in relation to pain, hospital and psychiatric care, medication for insomnia, catastrophizing, self-assessed work ability compared with lifetime best, satisfaction with life, ability for coping and controlling work situation, ability for coping with life outside work, and sense of responsibility for managing health condition were significantly associated with RTW. In the final multiple regression model, RTW was predicted by the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ score) (p=0.003, OR=0.961) and EuroQol (EQ-5D index) (p=0.017, OR=7.283)

Place, publisher, year, edition, pages
Edorium , 2018. Vol. 4, no 1, article id 100038D05SO2018
National Category
Physiotherapy
Research subject
Physiotherapy
Identifiers
URN: urn:nbn:se:ltu:diva-68468DOI: 10.5348/100038D05SO2018OAOAI: oai:DiVA.org:ltu-68468DiVA, id: diva2:1200137
Available from: 2018-04-23 Created: 2018-04-23 Last updated: 2018-04-23Bibliographically approved

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Sviridova, OlgaGard, GunvorMichaelson, Peter
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