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Prognostic Factors and Models for Predicting Work Absence in Adults with Musculoskeletal Conditions Consulting a
Gwenllian Wynne-Jones1, Elaine Wainwright2,3, Nicola Goodson4
1Faculty of Medicine and Health Sciences, and Versus Arthritis/Medical Research Council Centre for Musculoskeletal Health and Work, School of Medicine, Keele University, Keele, ST5 5BG, UK. g.wynne-jones@keele.ac.uk.
Predicting return-to-work for employees with musculoskeletal pain is challenging. This review found weak evidence for prognostic factors and models, highlighting the need for consistent measures in future research.
Area of Science:
- Occupational Health
- Musculoskeletal Disorders
- Prognosis
Background:
- Predicting return-to-work (RTW) for employees with musculoskeletal pain is difficult.
- Identifying individuals needing vocational support and appropriate interventions remains a challenge.
Purpose of the Study:
- To identify prognostic factors for work absence duration in employees already on leave.
- To examine the utility of prognostic models for predicting work absence.
Main Methods:
- Systematic review of 8 databases using keywords related to work absence, musculoskeletal pain, and prognosis.
- Independent data extraction and risk of bias assessment (QUIPS/PROBAST).
- Prognostic variables categorized using the Disability Prevention Framework; findings synthesized using the SWiM framework.
Main Results:
- 23 studies included (13 prognostic models, 110 prognostic factors).
- Overall weak evidence for prognostic factors; older age and positive recovery expectations showed protective effects.
- Previous absence predicted future absences; weak evidence for prognostic models in predicting sickness absence.
Conclusions:
- Analysis was hindered by diverse measures and follow-up times.
- Future research requires consistent measurement tools, ideally aligned with established recommendations.
- Improved prediction is needed to direct employees to appropriate occupational health services.
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