Risk Assessment for Prolonged Sickness Absence Due to Musculoskeletal Conditions
NCT ID: NCT04196634
Last Updated: 2023-02-17
Study Results
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Basic Information
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UNKNOWN
560 participants
OBSERVATIONAL
2018-11-01
2023-09-30
Brief Summary
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Although most sickness absence is short-termed, a small proportion of people with MSK conditions are on long-term sick leave, contributing to large cost due to disbursement of benefits, productivity loss and extensive use of health care. There is growing evidence that long-term sickness absence is harmful to mental and physical health, with a reduced probability of return to work (RtW) with prolonged sickness absence. Thus, focusing on early RtW in people on sick leave due to MSK conditions is important to reduce the burden on both the individual and the society. However, to provide interventions to reduce the duration of sickness absence to all people on sick leave would require enormous resources. By targeting those at risk of long-term sickness absence, resources may be used differently, e.g. more resource-saving. By using information on modifiable risk factors from simple risk assessment tools, health care providers and other stakeholders may facilitate RtW in a better way.
The overall purposes of this project are 1) to identify the most accurate screening tool to identify people at a high risk of prolonged sickness absence due to a MSK condition, and 2) to investigate severity of MSK health, health-related quality-of-life, health care consumption, and costs across different risk profiles in people on sick leave due to MSK conditions. We will use registered data on sickness absence from 1 year before to 1 year after inclusion in the study.
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Detailed Description
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* To compare the predictive ability of the STarT MSK tool and the ÖMPSQ-SF, and other established risk factors for long-term sickness absence (e.g. symptoms of depression and emotional distress, low motivation for returning to work, low self-efficacy, work expectancies) for identifying prolonged sickness absence at 6- and 12-months follow-up due to MSK conditions
* To develop a prognostic model to predict risk of prolonged sickness absence at 12-month follow-up in people with MSK conditions
* To assess predictors for high costs (productivity loss and health care use) at 6- and 12-months follow-up in people on sick leave due to MSK conditions
The study will also include additional methodological and descriptive aims.
Prior to the data collection we translated and culturally adapted the Keele STarT MSK and MSK-HQ following the Beaton guidelines.
The study is conducted within the Norwegian Welfare and Labor Administration (NAV) system in collaboration with OsloMet - Oslo Metropolitan University. Data on sickness absence from the NAV registry will be retrieved prospectively in the period from study inclusion to 12 months follow-up, and retrospectively 12 months prior to inclusion in the study.
Previous studies show that 30-40% of people with MSK conditions have not RtW after 3 to 12 months. In order to conduct analyses including 15- 20 predictor variables, we aim at including 500-600 people on sick leave due to MSK conditions. As the main outcomes are collected through registries, we do not expect any dropouts.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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People on sick leave
People on sick leave due to musculoskeletal conditions for at least 4 weeks.
Risk assessment
People on sick leave due to musculoskeletal conditions will be screened for potential risk factors for prolonged sickness absence. No intervention will be given.
Interventions
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Risk assessment
People on sick leave due to musculoskeletal conditions will be screened for potential risk factors for prolonged sickness absence. No intervention will be given.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* People not able to read or write Norwegian or English
18 Years
ALL
No
Sponsors
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Norwegian Labour and Welfare Administration
OTHER
Oslo Metropolitan University
OTHER
Responsible Party
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Principal Investigators
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Margreth Grotle, Prof
Role: PRINCIPAL_INVESTIGATOR
Oslo Metropolitan University
Locations
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Oslo Metropolitan University
Oslo, , Norway
Countries
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References
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Killingmo RM, Tveter AT, Pripp AH, Tingulstad A, Maas E, Rysstad T, Grotle M. Modifiable prognostic factors of high societal costs among people on sick leave due to musculoskeletal disorders: findings from an occupational cohort study. BMJ Open. 2024 Mar 1;14(3):e080567. doi: 10.1136/bmjopen-2023-080567.
Munk Killingmo R, Tveter AT, Smastuen MC, Storheim K, Grotle M. Comparison of self-reported and public registered absenteeism among people on long-term sick leave due to musculoskeletal disorders: criterion validity of the iMTA Productivity Cost Questionnaire. Eur J Health Econ. 2021 Aug;22(6):865-872. doi: 10.1007/s10198-021-01294-0. Epub 2021 Jun 1.
Tveter AT, Oiestad BE, Rysstad TL, Aanesen F, Tingulstad A, Smastuen MC, Grotle M. Risk assessment for prolonged sickness absence due to musculoskeletal disorders: protocol for a prospective cohort study. BMC Musculoskelet Disord. 2020 May 25;21(1):326. doi: 10.1186/s12891-020-03354-7.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan: Statistical Analysis Plan - Prognostic factors
Document Type: Statistical Analysis Plan: Statistical Analysis Plan - Prognostic model
Other Identifiers
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NSD 861249
Identifier Type: -
Identifier Source: org_study_id
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