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Residential factors predicting commu...
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Seybolt, Diana Carson.
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Residential factors predicting community integration and quality of life for persons with serious and persistent mental illness.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Residential factors predicting community integration and quality of life for persons with serious and persistent mental illness./
作者:
Seybolt, Diana Carson.
面頁冊數:
298 p.
附註:
Major Professor: Jean Ann Linney.
Contained By:
Dissertation Abstracts International62-02B.
標題:
Health Sciences, Mental Health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3006069
ISBN:
0493152784
Residential factors predicting community integration and quality of life for persons with serious and persistent mental illness.
Seybolt, Diana Carson.
Residential factors predicting community integration and quality of life for persons with serious and persistent mental illness.
- 298 p.
Major Professor: Jean Ann Linney.
Thesis (Ph.D.)--University of South Carolina, 2000.
Several types of residential services exist for persons with serious mental illness. Some reflect the linear continuum approach in which individuals move along a residential continuum as they increase their independent living skills. The supported housing approach reflects a paradigm shift emphasizing choice, normal housing, and flexible supports. The goals of the current study were to determine if individuals in different residential settings showed differences in community integration and quality of life. The study also examined specific respondent and residential characteristics. The relationships between physical, social, and psychological integration were evaluated, as was the relationship between community integration and quality of life. A sub-sample of a larger consumer housing preference survey was selected for the analysis. Individuals were included if they lived in a board and care home, a transitional group home, a supervised apartment program, or in a supported housing setting. Interviewers were either graduate students or mental health consumers. The survey instrument included both standardized measures and questions developed specifically for this project. Individuals in supervised apartment settings reported some higher levels of integration than those in other residential settings. Individuals in group homes and supported housing environments generally reported higher objective quality of life; however persons in supported housing reported lower subjective quality of life. These differences in subjective quality of life may be partially accounted for by diagnoses of Major Depressive Disorder. Perceived choice and other residential characteristics were predictive of various quality of life indicators. However, while residential characteristics alone were predictive of objective quality of life, both residential characteristics and an individual's psychiatric diagnosis were predictive of subjective quality of life. Social and psychological integration were related but neither was related to physical integration. Various indicators of community integration and quality of life were related. The results are discussed in terms of the existing literature on residential services. Implications for service provision and research are also summarized. Future directions are suggested, including the need for qualitative research, experimental research on specific residential characteristics, and the inclusion of various stakeholders in this process.
ISBN: 0493152784Subjects--Topical Terms:
1017693
Health Sciences, Mental Health.
Residential factors predicting community integration and quality of life for persons with serious and persistent mental illness.
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Several types of residential services exist for persons with serious mental illness. Some reflect the linear continuum approach in which individuals move along a residential continuum as they increase their independent living skills. The supported housing approach reflects a paradigm shift emphasizing choice, normal housing, and flexible supports. The goals of the current study were to determine if individuals in different residential settings showed differences in community integration and quality of life. The study also examined specific respondent and residential characteristics. The relationships between physical, social, and psychological integration were evaluated, as was the relationship between community integration and quality of life. A sub-sample of a larger consumer housing preference survey was selected for the analysis. Individuals were included if they lived in a board and care home, a transitional group home, a supervised apartment program, or in a supported housing setting. Interviewers were either graduate students or mental health consumers. The survey instrument included both standardized measures and questions developed specifically for this project. Individuals in supervised apartment settings reported some higher levels of integration than those in other residential settings. Individuals in group homes and supported housing environments generally reported higher objective quality of life; however persons in supported housing reported lower subjective quality of life. These differences in subjective quality of life may be partially accounted for by diagnoses of Major Depressive Disorder. Perceived choice and other residential characteristics were predictive of various quality of life indicators. However, while residential characteristics alone were predictive of objective quality of life, both residential characteristics and an individual's psychiatric diagnosis were predictive of subjective quality of life. Social and psychological integration were related but neither was related to physical integration. Various indicators of community integration and quality of life were related. The results are discussed in terms of the existing literature on residential services. Implications for service provision and research are also summarized. Future directions are suggested, including the need for qualitative research, experimental research on specific residential characteristics, and the inclusion of various stakeholders in this process.
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