uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Do psychosocial factors predict disability and health at a 3-year follow-up for patients with non-acute musculoskeletal pain?: A validation of the Örebro Musculoskeletal Pain Screening Questionnaire
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm , Centre for Clinical Research, County of Västmanland.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm , Centre for Clinical Research, County of Västmanland.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm , Centre for Clinical Research, County of Västmanland.
Show others and affiliations
2008 (English)In: European Journal of Pain, ISSN 1090-3801, E-ISSN 1532-2149, Vol. 12, no 5, 641-649 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: Early identification and intervention with those that run the risk of developing long-term disability would offer a great opportunity for reducing costs and personal suffering associated with long-term work absenteeism. The Orebro Musculoskeletal Pain Screening Questionnaire (OMPSQ) has been used and validated in several studies for participants with mainly acute pain problems. The aim of this study was to validate the OMPSQ for patients with non-acute pain problems (e.g. 1-6 months sick leave) and compare to other relevant questionnaires. Method: One hundred and fifty-eight patients with musculoskeletal pain and disability recruited to a multidisciplinary rehabilitation project completed a battery of questionnaires at baseline and at 3-year follow-up visits. The main analysis involved the relationship between risk levels in the questionnaire and sick leave and perceived health after 3 years. Results: The OMSPQ predicted future sick leave and health and was found to have six factors. The function and pain factors were the best predictors of sick leave after 3 years, while the distress factor was the best predictor of perceived mental health and return to work-expectancy was borderline significant. Perceived physical health at 3 years was best predicted by the function and pain factors with the fear-avoidance factor being marginally significant. Conclusion: The results demonstrate that psychosocial factors as measured by OMPSQ are related to work disability and perceived health even 3 years after treatment for patients with non-acute pain problems. The OMSPQ was a good predictor of outcome.

Place, publisher, year, edition, pages
2008. Vol. 12, no 5, 641-649 p.
Keyword [en]
return to work, sick leave, function, musculoskeletal pain, risk factors, perceived health, screening questionnaire
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-16065DOI: 10.1016/j.ejpain.2007.10.007ISI: 000256355700013PubMedID: 18086541OAI: oai:DiVA.org:uu-16065DiVA: diva2:43836
Available from: 2008-04-15 Created: 2008-04-15 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Authority records BETA

Westman, Axel

Search in DiVA

By author/editor
Westman, Axel
By organisation
Centre for Clinical Research, County of Västmanland
In the same journal
European Journal of Pain
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 404 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf