A Multiple-City RCT of Housing First With Assertive Community Treatment for Homeless Canadians With Serious Mental Illness
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Housing First with assertive community treatment (ACT) is a promising approach to assist people with serious mental illness to exit homelessness. The article presents two-year findings from a multisite trial on the effectiveness of Housing First with ACT. METHODS: The study design was a randomized controlled trial conducted in five Canadian cities. A sample of 950 participants with serious mental illness who were absolutely homeless or precariously housed were randomly assigned to receive either Housing First with ACT (N=469) or treatment as usual (N=481). RESULTS: Housing First participants spent more time in stable housing than participants in treatment as usual (71% versus 29%, adjusted absolute difference [AAD]=42%, p<.01). Compared with treatment-as-usual participants, Housing First participants who entered housing did so more quickly (73 versus 220 days, AAD=146.4, p<.001), had longer housing tenures at the study end-point (281 versus 115 days, AAD=161.8, p<.01), and rated the quality of their housing more positively (adjusted standardized mean difference [ASMD]=.17, p<.01). Housing First participants reported higher quality of life (ASMD=.15, p<.01) and were assessed as having better community functioning (ASMD=.18, p<.01) over the two-year period. Housing First participants showed significantly greater gains in community functioning and quality of life in the first year; however, differences between the two groups were attenuated by the end of the second year. CONCLUSIONS: Housing First with ACT is an effective approach in various contexts for assisting individuals with serious mental illness to rapidly exit homelessness.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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