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  1. Musculoskeletal disability, employment, and rehabilitation.

    Article - En anglais

    Objective

    To determine which, if any, baseline social and disease characteristics can be used to identify persons with musculoskeletal disabilities accepted for state-federal vocational rehabilitation services who are most likely to return to work.

    Methods

    A database of case closures from the Alabama Vocational Rehabilitation Service was analyzed using segmentation modelling.

    This included all persons (n=4093) with musculoskeletal disability who were accepted by the Alabama Vocational Rehabilitation Agency in 1987-91.

    Demographics, income, type of disability, severity of disability, medical insurance, similar benefits, benefit status, and referral source were independent variables.

    Outcome (dependent) variable was work status at end of agency services.

    Results

    Overall, 71% of persons with arthritis and musculoskeletal disorders who were accepted for vocational rehabilitation services in 1987-91 returned to work at the end of agency services.

    Segmentation modelling created a tree in which certain baseline characteristics formed subgroups with differing rates of successful rehabilitation.

    Social Security Disability Insurance (SSDI) status was the single best predictor of rehabilitation.

    Seventy-three percent of nonbeneficiaries were rehabilitated compared to 55% of beneficiaries (p<0.00001).

    For non-SSDI beneficiaries, education level = grade 12 was associated with better rehabilitation outcome (p<0.00001).

    Mots-clés Pascal : Système ostéoarticulaire pathologie, Adulte, Homme, Rééducation, Réadaptation professionnelle, Traitement, Résultat, Reprise travail, Emploi, Etude statistique, Analyse multivariable, Etats Unis, Amérique du Nord, Amérique, Facteur prédictif

    Mots-clés Pascal anglais : Diseases of the osteoarticular system, Adult, Human, Reeducation, Vocational rehabilitation, Treatment, Result, Back to work, Employment, Statistical study, Multivariate analysis, United States, North America, America, Predictive factor

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 95-0262427

    Code Inist : 002B26H. Création : 01/03/1996.