Impacts of an opioid overdose prevention intervention delivered subsequent to acute care
Bibliographic record
Abstract
BACKGROUND: Opioid overdose is a major and increasing cause of injury and death. There is an urgent need for interventions to reduce overdose events among high-risk persons. METHODS: Adults at elevated risk for opioid overdose involving heroin or pharmaceutical opioids who had been cared for in an emergency department (ED) were randomised to overdose education combined with a brief behavioural intervention and take-home naloxone or usual care. Outcomes included: (1) time to first opioid overdose-related event resulting in medical attention or death using competing risks survival analysis; and (2) ED visit and hospitalisation rates, using negative binomial regression and adjusting for time at risk. RESULTS: During the follow-up period, 24% of the 241 participants had at least one overdose event, 85% had one or more ED visits and 55% had at least one hospitalisation, with no significant differences between intervention and comparison groups. The instantaneous risk of an overdose event was not significantly lower for the intervention group (sub-HR: 0.83; 95% CI 0.49 to 1.40). DISCUSSION: These null findings may be due in part to the severity of the population in terms of housing insecurity (70% impermanently housed), drug use, unemployment and acute healthcare issues. Given the high overdose and healthcare utilisation rates, more intensive interventions, such as direct referral and provision of housing and opioid agonist treatment medications, may be necessary to have a substantial impact on opioid overdoses for this high-acuity population in acute care settings. TRIAL REGISTRATION NUMBER: NCT0178830; Results.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".