The effectiveness of a Housing First adaptation for ethnic minority groups: findings of a pragmatic randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Little is known about the effectiveness of Housing First (HF) among ethnic minority groups, despite its growing popularity for homeless adults experiencing mental illness. This randomized controlled trial tests the effectiveness of a HF program using rent supplements and intensive case management, enhanced by anti-racism and anti-oppression practices for homeless adults with mental illness from diverse ethnic minority backgrounds. METHODS: This unblinded pragmatic field trial was carried out in community settings in Toronto, Canada. Participants were 237 adults from ethnic minority groups experiencing mental illness and homelessness, who met study criteria for moderate needs for mental health services. Participants were randomized to either adapted HF (n = 135) or usual care (n = 102) and followed every 3 months for 24 months. The primary study outcome was housing stability; secondary outcomes included physical and mental health, social functioning, quality of life, arrests and health service use. Intention to treat statistical analyses examined the effectiveness of the intervention compared to usual care. RESULTS: During the 24-month study period, HF participants were stably housed a significantly greater proportion of time compared to usual care participants, 75 % (95 % CI 70 to 81) vs. 41 % (95 % CI 35 to 48), respectively, for a difference of 34 %, 95 % CI 25 to 43. HF also led to improvements in community integration over the course of the study: the change in the mean difference between treatment groups from baseline to 24-months was significantly greater among HF participants compared to those in usual care (change in mean difference = 2.2, 95 % CI 0.06 to 4.3). Baseline diagnosis of psychosis was associated with reduced likelihood of being housed ≥ 50 % of the study period (OR = 0.37, 95 % CI 0.18 to 0.72). CONCLUSION: Housing First enhanced with anti-racism and anti-oppression practices can improve housing stability and community functioning among ethnically diverse homeless adults with mental illness. TRIAL REGISTRATION: International Standard Randomized Control Trial Number Register Identifier: ISRCTN42520374 , assigned August 18, 2009.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".