Finding safety: a pilot study of managed alcohol program participants’ perceptions of housing and quality of life
Bibliographic record
Abstract
BACKGROUND: There is a higher prevalence of alcohol use and severe alcohol dependence among homeless populations. The combination of alcohol use and lack of housing contributes to increased vulnerability to the harms of substance use including stigma, injury, illness, and death. Managed alcohol programs (MAPs) administer prescribed doses of alcohol at regular intervals to people with severe and chronic alcohol dependence and homelessness. As a pilot for a larger national study of MAPs, we conducted an in-depth evaluation of one program in Ontario, Canada. In this paper, we report on housing and quality of life outcomes and experiences of the MAP participants and staff. METHODS: We conducted a pilot study using mixed methods. The sample consisted of 38 people enrolled in or eligible for entry into a MAP who completed a structured quantitative survey that included measures related to their housing and quality of life. All of the participants self-identified as Indigenous. In addition, we conducted 11 in-depth qualitative interviews with seven MAP residents and four program staff and analyzed the interviews using constant comparative analysis. The qualitative analysis was informed by Rhodes' risk environment framework. RESULTS: When compared to controls, MAP participants were more likely to retain their housing and experienced increased safety and improved quality of life compared to life on the streets, in jails, shelters, or hospitals. They described the MAP as a safe place characterized by caring, respect, trust and a nonjudgmental approach with a sense of family and home as well as opportunities to reconnect with family members. CONCLUSIONS: The MAP was, as described by participants, a safer environment and a home with feelings of family and a sense of community that countered stigma, loss, and dislocation with potential for healing and recovery. The MAP environment characterized by caring, respect, trust, a sense of home, "feeling like family", and the opportunities for family and cultural reconnections is consistent with First Nations principles for healing and recovery and principles of harm reduction.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".