Evaluation of an emergency safe supply drugs and managed alcohol program in COVID-19 isolation hotel shelters for people experiencing homelessness
Bibliographic record
Abstract
BACKGROUND: During a COVID-19 outbreak in the congregate shelter system in Halifax, Nova Scotia, Canada, a healthcare team provided an emergency "safe supply" of medications and alcohol to facilitate isolation in COVID-19 hotel shelters for residents who use drugs and/or alcohol. We aimed to evaluate (a) substances and dosages provided, and (b) outcomes of the program. METHODS: We reviewed medical records of all COVID-19 isolation hotel shelter residents during May 2021. The primary outcome was successful completion of 14 days isolation, as directed by public health orders. Adverse events included (a) overdose; (b) intoxication; and (c) diversion, selling, or sharing of medications or alcohol. RESULTS: Seventy-seven isolation hotel residents were assessed (mean age 42 ± 14 years; 24% women). Sixty-two (81%) residents were provided medications, alcohol, or cigarettes. Seventeen residents (22%) received opioid agonist treatment (methadone, buprenorphine, or slow-release oral morphine) and 27 (35%) received hydromorphone. Thirty-one (40%) residents received prescriptions stimulants. Six (8%) residents received benzodiazepines and forty-two (55%) received alcohol. Over 14 days, mean daily dosages increased of hydromorphone (45 ± 32 - 57 ± 42 mg), methylphenidate (51 ± 28 - 77 ± 37 mg), and alcohol (12.3 ± 7.6 - 13.0 ± 6.9 standard drinks). Six residents (8%) left isolation prematurely, but four returned. During 1059 person-days, there were zero overdoses. Documented concerns regarding intoxication occurred six times (0.005 events/person-day) and medication diversion/sharing three times (0.003 events/person-day). CONCLUSIONS: COVID-19 isolation hotel residents participating in an emergency safe supply and managed alcohol program experienced high rates of successful completion of 14 days isolation and low rates of adverse events.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".