A randomized controlled trial of the effectiveness of Housing First in a small Canadian City
Bibliographic record
Abstract
The paper presents two-year findings from a study investigating the effectiveness of Housing First (HF) with assertive community treatment (ACT) in helping individuals with serious mental illness, who are homeless or precariously housed and living in a small city, to become stably housed. The research design was a parallel group non-blinded RCT with participants randomly assigned after the baseline interview to receive HF with ACT (N = 100) or treatment as usual (TAU; N = 101). Participants were interviewed every 3 months over 21/24 months to investigate changes on a range of housing and psychosocial outcomes. The primary outcomes were housing stability (as defined by a joint function of number of days housed and number of moves) and improvement in community functioning. Secondary predicted outcomes were improvements in self-rated physical and mental health status, substance use problems, quality of life, community integration, and recovery. An intent-to-treat analysis was conducted. Compared to TAU participants, HF participants who entered housing did so more quickly (23.30 versus 88.25 days, d = 1.02, 95% CI [0.50–1.53], p < 0.001), spent a greater proportion of time stably housed (Z = 5.30, p < 0.001, OR = 3.12, 95% CI [1.96–4.27]), and rated the quality of their housing more positively (Z = 4.59, p < 0.001, d = 0.43, 95% CI [0.25–0.62]). HF participants were also more likely to be housed continually in the final 6 months (i.e., 79.57% vs. 55.47%), χ2 (2, n = 170) = 11.46, p = .003, Cramer’s V = 0.26, 95% CI [0.14–0.42]). HF participants showed greater gains in quality of life, (Z = 3.83, p < 0.001, ASMD = 0.50, 95% CI [0.24–0.75]), psychological integration (Z = 12.89, p < 0.001, pooled ASMD = 0.91, 95% CI [0.77–1.05]), and perceived recovery (Z = 2.26, p = 0.03, ASMD = 0.39, 95% CI [0.05–0.74]) than TAU participants. The study indicates that HF ends homelessness significantly more rapidly than TAU for a majority of individuals with serious mental illness who have a history of homelessness and live in a small city. In addition, compared to TAU, HF produces psychosocial benefits for its recipients that include an enhanced quality of life, a greater sense of belonging in the community, and greater improvements in perceived recovery from mental illness. International Standard Randomized Control Trial Number Register Identifier: ISRCTN42520374 , assigned August 18, 2009.
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.
How this classification was reachedexpand
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 | 0.023 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".