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This randomized controlled trial (RCT) compared the efficacy between the Social Enterprise Intervention (SEI) and Individual Placement and Support (IPS) with homeless youth with mental illness.
Methods: Non-probability quota sampling sampling was used to recruit 72 homeless youth from one agency, who were randomized to the SEI (n=36) or IPS (n=36) conditions.
Full description
In response to the limited use of RCTs with homeless youth to test research-supported interventions, this study compares the efficacy and short-term outcomes of two interventions that combine employment and clinical services with homeless youth experiencing mental illness. The Social Enterprise Intervention (SEI) is a research-supported intervention using a group approach that engages homeless youth in paid employment as well as case-management and mental health services through involvement in an agency-run social enterprise. The Individual Placement and Support (IPS) model of supported employment is an individually focused, evidence-based intervention , which provides individuals with severe mental illness with customized, long-term, and integrated vocational, case-management, and clinical services to help them gain and maintain competitive employment.
A randomized comparative efficacy trial of the short-term, nonvocational outcomes (depression, self-esteem, social support, housing stability) of the SEI and IPS was conducted over 20 months with 72 homeless youth at a homeless youth drop-in center in Los Angeles. This study answered two research questions: 1) Do homeless youth with mental illness participating in an employment intervention integrated with clinical services (SEI or IPS) experience improvements in their a) mental health status (self-esteem and depression); b) housing stability, and c) social support; and 2) What are the differences between the SEI and IPS groups on mental health, housing stability, and social support outcomes between baseline and follow-up?
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72 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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