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Development of a brief questionnaire to predict long-term disability
Deborah Fulton-Kehoe1, Bert D Stover, Judith A Turner
1School of Public Health and Community Medicine, Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98103, USA. debfk@u.washington.edu
Journal of Occupational and Environmental Medicine
|September 12, 2008
Summary
A new questionnaire can help predict long-term work disability after a back injury. It assesses pain interference with work, current work status, and leg pain to identify at-risk workers.
Area of Science:
- Occupational health
- Musculoskeletal disorders
- Disability assessment
Background:
- Work-related back injuries are a significant cause of long-term disability.
- Early identification of at-risk individuals is crucial for timely intervention.
- Existing assessment tools may not be brief or practical for immediate post-injury use.
Purpose of the Study:
- To develop and validate a concise questionnaire for assessing long-term work disability risk following a back injury.
- To identify key predictors of prolonged disability in injured workers.
- To provide a practical tool for healthcare providers and occupational health specialists.
Main Methods:
- Prospective cohort study of 1885 workers with new back injuries.
- Data collected approximately 3 weeks post-injury, including pain, function, psychosocial, and work factors.
- Classification and regression tree analysis to build a predictive model for disability status at 1 year.
Main Results:
- A predictive model was developed using pain interference with work, current work status, and radiating leg pain.
- This model accurately classified 77% of workers regarding their 1-year work disability status.
- Key predictors identified were significant pain interference, not currently working, and presence of radiating leg pain.
Conclusions:
- A brief, worker-completed questionnaire incorporating pain interference, work status, and leg pain can effectively assess long-term work disability risk.
- This tool may aid in early identification and management of workers at high risk for prolonged disability.
- Further validation in diverse populations is warranted.
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