Bibliographic Details
| Title: |
Risk assessment for prolonged sickness absence due to musculoskeletal disorders: protocol for a prospective cohort study. |
| Authors: |
Tveter, Anne Therese1,2 (AUTHOR) anthtv@oslomet.no, Øiestad, Britt Elin1 (AUTHOR), Rysstad, Tarjei Langseth1 (AUTHOR), Aanesen, Fiona1 (AUTHOR), Tingulstad, Alexander1 (AUTHOR), Småstuen, Milada Cvancarova3 (AUTHOR), Grotle, Margreth1,4 (AUTHOR) |
| Source: |
BMC Musculoskeletal Disorders. 5/25/2020, Vol. 21 Issue 1, p1-8. 8p. 1 Diagram, 1 Chart. |
| Subject Terms: |
*DISABILITY retirement, *SICK leave, *RISK assessment, *DISEASES, *LONGITUDINAL method, *COHORT analysis |
| Geographic Terms: |
NORWAY |
| Abstract: |
Background: Musculoskeletal disorders are the leading cause of sickness absence and disability pension in Norway. There is strong evidence that long-term sickness absence due to musculoskeletal disorders are associated with a reduced probability of return to work (RTW). A way to meet the economic and resource-demanding challenges related to individual follow-up of this group is to identify and treat those individuals with a high risk of prolonged sickness. The overall purposes of this project are 1) to determine the most accurate screening tool to identify people at a high risk of prolonged sickness absence due to an musculoskeletal disorder, and 2) to investigate severity of musculoskeletal health, health-related quality-of-life, health care utilization, and costs across different risk profiles in people on sick leave due to a musculoskeletal disorder.Methods: People older than 18 years of age on sick leave for at least 4 weeks due to a musculoskeletal disorder will be invited to participate in this prospective observational cohort study conducted within the Norwegian Welfare and Labor Administration (NAV) system in collaboration with OsloMet - Oslo Metropolitan University. The main outcome is sickness absence, obtained from the NAV registry. Data on sickness absence will be retrieved prospectively in the period from study inclusion to 12 months follow-up, and retrospectively 12 months before inclusion in the study. Possible risk factors will be self-reported by the participants at inclusion while health care utilization will be retrieved from registry data. To conduct analyses including 15 to 20 predictor variables, we aim at including 500-600 people on sick leave due to musculoskeletal disorders.Discussion: This study may provide tools that can be used to identify individuals with high risk of prolonged sickness absence and may thus be important from both a socioeconomic and individual perspective. Further, the study may give valuable insight into identification of sickness absence profiles and the associations between these profiles and musculoskeletal health status, health-related quality of life and costs.Trial Registration: Retrospectively registered in ClinicalTrials.gov (NCT04196634, 27.11.2019). [ABSTRACT FROM AUTHOR] |
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