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Predicting optimal housing placement...

Busch, Robyn M.

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Predicting optimal housing placement for people with serious mental illnesses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predicting optimal housing placement for people with serious mental illnesses./
作者:	Busch, Robyn M.
面頁冊數:	88 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4606.
Contained By:	Dissertation Abstracts International64-09B.
標題:	Psychology, Clinical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3103309
ISBN:	0496508776

Predicting optimal housing placement for people with serious mental illnesses.
Busch, Robyn M.

Predicting optimal housing placement for people with serious mental illnesses. - 88 p.

Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4606.

Thesis (Ph.D.)--University of Cincinnati, 2003.

Mental health service consumers with serious mental illnesses can succeed in less restrictive, independent living situations when appropriate supports are in place (Anthony & Blanch, 1989). However, the determinants of successful housing adjustment have not been systematically investigated. The goal of this study was to identify factors important to support consumers in least restrictive housing situations and determine objective, self-report measures of these factors that can predict optimal housing placement.

ISBN: 0496508776Subjects--Topical Terms:

524864
Psychology, Clinical.

Predicting optimal housing placement for people with serious mental illnesses.
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245 1 0 $a Predicting optimal housing placement for people with serious mental illnesses.
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500 $a Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4606.
500 $a Chair: John J. Steffen.
502 $a Thesis (Ph.D.)--University of Cincinnati, 2003.
520 $a Mental health service consumers with serious mental illnesses can succeed in less restrictive, independent living situations when appropriate supports are in place (Anthony & Blanch, 1989). However, the determinants of successful housing adjustment have not been systematically investigated. The goal of this study was to identify factors important to support consumers in least restrictive housing situations and determine objective, self-report measures of these factors that can predict optimal housing placement.
520 $a Interviews with consumers who had made successful living transitions resulted in identification of eight domains important to independent living: social/leisure, taking personal responsibility, personal/self-care, psychological resources, being independent, self-efficacy/spirituality, skill-acquisition/support, and government assistance. The following scales were used to measure these domains: Behavior and Symptom Identification Scale-32 (BASIS-32), Community Living Skills Scale (CLSS), Interpersonal Support Evaluation List (ISEL), Mastery Scale, Mental Health Confidence Scale (MHCS), Multidimensional Scale of Perceived Social Support (MSPSS), as well as questions pertaining to drug use, living skills, spirituality, and government assistance. An additional scale (Community Housing Adjustment Scale-CHAS) was constructed using the items generated during the interviews.
520 $a Discriminant function analysis revealed that the three living groups (group home, semi-independent, and independent) could be discriminated using the ten scales and items listed above (59.2% correct classification). The CHAS was also able to make a significant prediction (47.6% correct classification). Both of these analyses resulted in better predictions than case manager ratings of living skills alone (43.8% correct classification). At this point in the analyses, using all ten scales resulted in the best prediction. These predictors were combined with case manager ratings of living skills to see if the prediction would be improved (60.3% correct classification). A final analysis included the predictors most important in the previous analyses: CLSS, MHCS, government assistance items, and case manager ratings of living skills (56.8% correct classification).
520 $a The current study shows that consumer self-report of their status contributes substantially to the prediction of optimal housing placement and, in fact, is a better predictor than case manager ratings alone. Therefore, the results of this study lend support for greater consumer involvement in the housing placement process.
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