Housing First for People with Severe Mental Illness Who are Homeless: A Review of the Research and Findings from the at Home—Chez soi Demonstration Project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To provide a review of the extant research literature on Housing First (HF) for people with severe mental illness (SMI) who are homeless and to describe the findings of the recently completed At Home (AH)-Chez soi (CS) demonstration project. HF represents a paradigm shift in the delivery of community mental health services, whereby people with SMI who are homeless are supported through assertive community treatment or intensive case management to move into regular housing. METHOD: The AH-CS demonstration project entailed a randomized controlled trial conducted in 5 Canadian cities between 2009 and 2013. Mixed methods were used to examine the implementation of HF programs and participant outcomes, comparing 1158 people receiving HF to 990 people receiving standard care. RESULTS: Initial research conducted in the United States shows HF to be a promising approach, yielding superior outcomes in helping people to rapidly exit homelessness and establish stable housing. Findings from the AH-CS demonstration project reveal that HF can be successfully adapted to different contexts and for different populations without losing its fidelity. People receiving HF achieved superior housing outcomes and showed more rapid improvements in community functioning and quality of life than those receiving treatment as usual. CONCLUSIONS: Knowledge translation efforts have been undertaken to disseminate the positive findings and lessons learned from the AH-CS project and to scale up the HF approach across Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it