Predicting prolonged work absence due to musculoskeletal disorders: development, validation, and clinical usefulness of prognostic prediction models
These models, particularly the one predicting > 180 days, may facilitate secondary prevention strategies and guide future clinical trials. Further validation and refinement are necessary to optimise the models and to test their performance in larger samples.
Authors
- Steven J. Linton
- Lene Aasdahl (ORCID: https://orcid.org/0000-0003-4276-1345)
- Kate M. Dunn (ORCID: https://orcid.org/0000-0002-6202-2606)
- Adrian C. Traeger (ORCID: https://orcid.org/0000-0002-1646-1907)
- Gwenllian Wynne‐Jones (ORCID: https://orcid.org/0000-0002-0283-6632)
- Margreth Grotle (ORCID: https://orcid.org/0000-0001-8243-1143)
- Anne Therese Tveter (ORCID: https://orcid.org/0000-0003-1701-9835)
- Tarjei Rysstad (ORCID: https://orcid.org/0000-0003-2630-4136)
- Fiona Aanesen (ORCID: https://orcid.org/0000-0002-3284-8060)
- Egil A. Fors (ORCID: https://orcid.org/0000-0002-0980-8247)
- Ørjan Nesse Vigdal (ORCID: https://orcid.org/0000-0001-5075-7720)
- Are Hugo Pripp (ORCID: https://orcid.org/0000-0002-1678-7309)
- Britt Elin Øiestad (ORCID: https://orcid.org/0000-0002-0547-9781)
Institutions
- Oslo University Hospital (NO)
- The University of Sydney (AU)
- National Institute of Occupational Health (NO)
- OsloMet – Oslo Metropolitan University (NO)
- Norwegian University of Science and Technology (NO)
- Örebro University (SE)
- Unicare (NO)
- Institute for Musculoskeletal Health (AU)
- Diakonhjemmet Hospital (NO)
- Sydney Local Health District (AU)
- Universidad Metropolitana (PR)
- Keele University (GB)
Publication Details
- Journal
- International Archives of Occupational and Environmental Health
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1007/s00420-025-02129-8
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- NAV
- Norges Forskningsråd