BACKGROUND: The study objectives were to identify early predictors of chronic work disability associated with carpal tunnel syndrome (CTS) and to test the hypothesis that variables from each of several domains (sociodemographic, clinical, work-related, and psychosocial) would add unique predictive information. METHODS: Washington State workers were interviewed 18 days (median) after submitting a new workers' compensation claim for CTS. Baseline predictors of chronic work disability (> or =180 days of work disability compensation in the year after claim submission) were examined for workers who had at least 1 day of disability compensation (N = 899). RESULTS: Baseline demographic variables, symptom severity, functional limitations, lack of job accommodation, job physical demands, job psychosocial conditions, and worker psychosocial characteristics predicted chronic disability bivariately. Each domain of variables added significantly to the prediction of chronic disability. The final multivariable model had fair ability to discriminate individuals with versus without chronic disability (cross-validated area under the ROC curve = 0.76). CONCLUSIONS: Sociodemographic, clinical, work-related, and worker psychosocial factors early in a claim contribute unique information to the prediction of subsequent work disability associated with CTS.
BACKGROUND: The study objectives were to identify early predictors of chronic work disability associated with carpal tunnel syndrome (CTS) and to test the hypothesis that variables from each of several domains (sociodemographic, clinical, work-related, and psychosocial) would add unique predictive information. METHODS: Washington State workers were interviewed 18 days (median) after submitting a new workers' compensation claim for CTS. Baseline predictors of chronic work disability (> or =180 days of work disability compensation in the year after claim submission) were examined for workers who had at least 1 day of disability compensation (N = 899). RESULTS: Baseline demographic variables, symptom severity, functional limitations, lack of job accommodation, job physical demands, job psychosocial conditions, and worker psychosocial characteristics predicted chronic disability bivariately. Each domain of variables added significantly to the prediction of chronic disability. The final multivariable model had fair ability to discriminate individuals with versus without chronic disability (cross-validated area under the ROC curve = 0.76). CONCLUSIONS: Sociodemographic, clinical, work-related, and worker psychosocial factors early in a claim contribute unique information to the prediction of subsequent work disability associated with CTS.
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