What Works? Toward a New Classification System for Mental Health Supported Accommodation Services: The Simple Taxonomy for Supported Accommodation (STAX-SA)

被引:68
作者
McPherson, Peter [1 ]
Krotofil, Joanna [1 ]
Killaspy, Helen [1 ]
机构
[1] UCL, Div Psychiat, London W1T 7NF, England
基金
美国国家卫生研究院;
关键词
supported accommodation; mental health; classification; taxonomy; QUALITY-OF-LIFE; RANDOMIZED CONTROLLED-TRIAL; FORMERLY HOMELESS ADULTS; SMALL-GROUP HOMES; HOUSING; 1ST; COMMUNITY PARTICIPATION; CARE HOMES; ILLNESS; PEOPLE; OUTCOMES;
D O I
10.3390/ijerph15020190
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Inconsistent terminology and variation in service models have made synthesis of the supported accommodation literature challenging. To overcome this, we developed a brief, categorical taxonomy that aimed to capture the defining features of different supported accommodation models: the simple taxonomy for supported accommodation (STAX-SA). Data from a previous review of existing classification systems were used to develop the taxonomy structure. After initial testing and amendments, the STAX-SA and an existing taxonomy were applied to 132 supported accommodation service descriptions drawn from two systematic reviews and their performance compared. To assess external validity, the STAX-SA was distributed to a sample of supported accommodation managers in England and they were asked to use it to classify their services. The final version of the STAX-SA comprised of five supported accommodation 'types', based on four domains; Staffing location; Level of support; Emphasis on move-on; and Physical setting. The STAX-SA accurately categorized 71.1% (n = 94) of service descriptions, outperforming the comparison tool, and was not affected by publication date or research design. The STAX-SA effectively discriminated between 'real world' service models in England and 53.2% (n = 17) of service managers indicated that the taxonomy was 'Very effective' or 'Extremely effective' in capturing key characteristics of their service. The STAX-SA is an effective tool for classifying supported accommodation models and represents a promising approach to synthesizing the extant effectiveness literature. The authors recommend the development of reporting guidelines for future supported accommodation publications to facilitate comparison between models.
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页数:17
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