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Implementing housing first in rural areas: pathways Vermont.
Ana Stefancic1, Benjamin F Henwood, Hilary Melton
1Ana Stefancic and Sam Tsemberis are with Pathways to Housing, Inc., New York, NY. Hilary Melton and Rebeka Lawrence-Gomez are with Pathways to Housing Vermont, Burlington, VT. Benjamin Henwood is with University of Southern California, Los Angeles, CA. Soo-Min Shin is with New York University, New York, NY.
Pathways Housing First programs successfully adapted for rural areas serving individuals with severe mental illness. This innovative model achieved an 85% housing retention rate, reducing homelessness effectively.
Area of Science:
- Public Health
- Mental Health Services
- Homelessness Research
Background:
- Pathways Housing First (PHF) is proven effective for chronic homelessness in severe mental illness (SMI).
- Limited research exists on PHF implementation and effectiveness in rural settings.
- Rural areas present unique challenges for service delivery to vulnerable populations.
Purpose of the Study:
- To describe adaptations of the PHF model for rural Vermont.
- To evaluate the effectiveness of these adaptations in addressing chronic homelessness among individuals with SMI.
- To explore the role of technology in facilitating rural PHF implementation.
Main Methods:
- Described adaptations including hybrid assertive community treatment-intensive case management (ACT-ICM) teams.
- Utilized geographically based caseloads (1:20 staff/client ratio) and regional multidisciplinary specialists.
- Incorporated technology, including a pilot telehealth initiative, to enhance service delivery.
Main Results:
- Achieved an 85% housing retention rate over approximately 3 years.
- Consumers reported a significant decrease in time spent homeless.
- Program adaptations and technological enhancements demonstrated success in a rural context.
Conclusions:
- The adapted PHF model is effective in rural settings for individuals with SMI.
- Hybrid ACT-ICM teams and technological integration are key to successful rural implementation.
- This study provides a scalable model for addressing rural homelessness and severe mental illness.
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