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  1. Predicting subsequent employment status of SSA disability applicants with chronic pain.

    Article - En anglais

    Objective 

    The study assessed the predictive ability of the standardized Multiperspective Multidimensional Pain Assessment Protocol (MMPAP).

    An assessment tool that predicts return to work with chronic pain patients is needed, as increasing numbers of disability applications are adjudicated in the courts.

    Design 

    National randomized validation sample of disability applicants.

    Each MMPAP consisted of physical examinations by two physiatrists and the participant's subjective assessment.

    Criterion standards were Multidimensional Pain Inventory and McGill Pain Questionnaire.

    There was phone follow-up 6 months postdecision.

    Setting 

    Six clinical sites were ambulatory referral centers, both public and private.

    Results 

    The MMPAP predicted with 90% accuracy employment status of SSA disability applicants with chronic pain 6 months postdecision when assessed at application by two physicians trained in Physical Medicine and Rehabilitation (physiatry).

    Accuracy of employment situation change was 93%, and pain intensity change was 65%. Self-report measures, physical examination results, psychological status, functional limitations, and physician's subjective appraisal predict future employment.

    Conclusions 

    The MMPAP accurately predicts future employment of disability applicants claiming chronic pain.

    The introduction of this standardized protocol will assist in standardizing disability determination for c.

    Mots-clés Pascal : Douleur, Chronique, Incapacité travail, Reprise travail, Médecine travail, Prédiction, Evaluation, Pain Questionnaire McGill, West Haven-Yale-Multidimensional Pain Inventory, Homme, Adulte, Etude longitudinale, Multiprospective Multidimensional Pain Assement Protocol, MMPAP, Valeur prédictive

    Mots-clés Pascal anglais : Pain, Chronic, Work disability, Back to work, Occupational medicine, Prediction, Evaluation, Pain Questionnaire McGill, West Haven-Yale-Multidimensional Pain Inventory, Human, Adult, Follow up study

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

    Cote : 95-0387208

    Code Inist : 002B30B04. Création : 01/03/1996.