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Original Article
Developing a Psychosocial Rehabilitation Model for Persons with Chronic Mental Illness
Hyun Sook Kim
Journal of Korean Academy of Nursing 2007;37(4):490-500.
DOI: https://doi.org/10.4040/jkan.2007.37.4.490
Published online: March 28, 2017

1Department of Nursing, College of Health Sciences, Eulji University, Korea.

Address reprint requests to: Kim, Hyun Sook. khsook@eulji.ac.kr

Copyright © 2007 Korean Society of Nursing Science

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  • Purpose
    The purpose of this study was to identify factors influencing the outcome of psychosocial rehabilitation for persons with chronic mental illness and to suggest a hypothetical model of psychosocial rehabilitation which is based on the relationship between influencing factors and then to test its fitness empirically.
  • Method
    Data was collected from persons with a chronic mental illness using a self-report questionnaire, and from their case managers using an observed rating questionnaire. A total of 220 cases were used in the final analysis, and a hypothetical model was verified through covariance structure analysis using LISREL.
  • Result
    1) The fitness indices of the model were χ2=133.77 (df=48, p=.00), GFI = 0.93, AGFI = 0.87, RMR = 2.32, NNFI = 0.95 and NFI = 0.95. Twelve paths among fifteen proved to be significant. 2) Psychosocial rehabilitation was influenced directly by symptoms, daily living skill and self-concept, and was influenced indirectly by the psychosocial rehabilitation program service. Psychosocial rehabilitation accounted for 32% of variance of these factors.
  • Conclusion
    This study is expected to contribute to understanding the psychosocial rehabilitation phenomena. Besides it will provide basic information for developing strategies of bio-psycho-sociological interventions and evaluations in regard to influential factors of psychosocial rehabilitation.

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        Developing a Psychosocial Rehabilitation Model for Persons with Chronic Mental Illness
        Journal of Korean Academy of Nursing. 2007;37(4):490-500.   Published online March 28, 2017
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