Trajectories of Alcohol Use and Related Harms for Managed Alcohol Program Participants over 12 Months Compared with Local Controls: A Quasi-Experimental Study
Bibliographic record
Abstract
AIM: Investigate changes in alcohol use and related harm using the first multisite, controlled, longitudinal study of Managed Alcohol Programs (MAPs). MAPs provide regular doses of alcohol, accommodation, social supports and healthcare to unstably housed people with alcohol dependence. METHODS: A multisite, quasi-experimental, longitudinal study was conducted in day centres, shelters and residential programs for unstably housed people. There were 59 MAP participants from six Canadian cities and 116 local controls. Self-reported alcohol consumption and harms were assessed at 0-2, 6 and 12 months. Liver function test results were accessed for MAP participants. RESULTS: Both groups had similar reductions in mean drinks per day (MAP: -8.11; controls: -8.54 controls, P < 0.001) and days drinking per month (MAP: -2.51 days, P < 0.05; control: -4.81 days, P = 0.0001) over 6--12 months. Both reduced non-beverage alcohol consumption. MAP participants reported significantly fewer harms at both 0-2 and 6 months than controls. MAP participants had similar total consumption to controls, but spread out over more days (25.41 versus 19.64 days per month, P = 0.001). After leaving a MAP, participants' liver status deteriorated, with increases in both aspartate transaminase and bilirubin levels. MAP sites with effective policies on outside drinking drank less and had fewer harms. CONCLUSION: MAP participants drank less hazardously than controls, especially with effective management of non-MAP drinking. Reductions in alcohol use and harms occurred for both groups, although MAP participants reported fewer harms at 0-6 months. Departing an MAP was associated with deterioration in liver status. Although providing stable housing, MAPs did not worsen health or increase alcohol use.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".