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J Occup Rehabil ; 20(3): 387-93, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20182909

ABSTRACT

OBJECTIVES: To evaluate the ability of a short-form FCE to predict future timely and sustained return-to-work. METHODS: A prospective cohort study was conducted using data collected during a cluster RCT. Subject performance on the items in the short-form FCE was compared to administrative recovery outcomes from a workers' compensation database. Outcomes included days to claim closure, days to time loss benefit suspension and future recurrence (defined as re-opening a closed claim, restarting benefits, or filing a new claim for injury to the same body region). Analysis included multivariable Cox and logistic regression using a risk factor modeling strategy. Potential confounders included age, sex, injury duration, and job attachment status, among others. RESULTS: The sample included 147 compensation claimants with a variety of musculoskeletal injuries. Subjects who demonstrated job demand levels on all FCE items were more likely to have their claims closed (adjusted Hazard Ratio 5.52 (95% Confidence Interval 3.42-8.89), and benefits suspended (adjusted Hazard Ratio 5.45 (95% Confidence Interval 2.73-10.85) over the follow-up year. The proportion of variance explained by the FCE ranged from 18 to 27%. FCE performance was not significantly associated with future recurrence. CONCLUSION: A short-form FCE appears to provide useful information for predicting time to recovery as measured through administrative outcomes, but not injury recurrence. The short-form FCE may be an efficient option for clinicians using FCE in the management of injured workers.


Subject(s)
Musculoskeletal Diseases/diagnosis , Recovery of Function , Work Capacity Evaluation , Workers' Compensation/statistics & numerical data , Adult , Alberta , Disabled Persons/rehabilitation , Humans , Interviews as Topic , Middle Aged , Musculoskeletal Diseases/economics , Musculoskeletal Diseases/physiopathology , Musculoskeletal Diseases/rehabilitation , Pain Measurement , Predictive Value of Tests , Proportional Hazards Models , Prospective Studies , Recurrence , Reproducibility of Results , Sick Leave/economics , Time Factors
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