Objective: To obtain a quality of life analysis of a population of disabled people at home, to establish correlations between factors such as depression, disability, handicap and personality, and to observe the evolution of these factors one year after the intervention of a home support multidisciplinary team. Material and method: Prospective study led over one year in the form of two interviews, before and after intervention. The studied population is represented by the patients having contacted the team with the aim of resolving a technical or social problem at home. The questionnaire is exhaustive, established around the international classification of handicaps, with validated tools (Center for Epidemiologic Studies Depression Scale, Functional Independence Measure, Reintegration to Normal Life Index, Nottingham Health Profile, Schedule for the Evaluation of Individual Quality of Life, Rorschach test). For processing the statistics, we used univariate tests to produce the descriptive analysis of quantitative or qualitative data and to estimate progress at one year. Links among the various variables were made by Pearson’s product-moment correlation coefficient, analysis of variance (Anova) and multivariate analysis (correlations matrix and principal component analysis). Results: At one year 72 subjects were seen again, of whom 38 were men and 34 women, mean age of 43 years (from 19 to 73 years). This population contained 57% of patients suffering from brain damage, 28% from spinal cord injuries and neuromuscular pathologies and 7% from rheumatologic pathologies. Disability does not vary. Perceived handicap improves in a significant way ( P = 0.0008). The quality improves significantly ( P = 0.009). The evaluation of the personality objectivizes two pathological features: depression and deficit of coping. The quality of life and the handicap are strongly positively correlated ( P < 0.0001), while the quality of life is strongly negatively correlated with depression ( P < 0.0001). In the end, we find no correlation between the disability scale and the quality of life scales, leaving us to suppose that disability is not predictive of quality of life. Finally, one notices a very strong correlation between deficit of coping, the depression scale and quality of life scales. On the individual plan, handicap coping abilities seem to represent a fundamental quality of life predictive factor in this population. Conclusion: Mood and psychobehavioral factors are of great importance in the perception of handicap and quality of life. Therefore rehabilitation and/or support strategies for the handicapped population should contain more often, if not systematically, psycho-educational intervention.
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