Predictors of seeking emergency medical help during overdose events in a provincial naloxone distribution programme: a retrospective analysis
Bibliographic record
Abstract
OBJECTIVES: This study sought to identify factors that may be associated with help-seeking by witnesses during overdoses where naloxone is administered. SETTING: Overdose events occurred in and were reported from the five regional health authorities across British Columbia, Canada. Naloxone administration forms completed following overdose events were submitted to the British Columbia Take Home Naloxone programme. PARTICIPANTS: All 182 reported naloxone administration events, reported by adult men and women and occurring between 31 August 2012 and 31 March 2015, were considered for inclusion in the analysis. Of these, 18 were excluded: 10 events which were reported by the person who overdosed, and 8 events for which completed forms did not indicate whether or not emergency medical help was sought. PRIMARY AND SECONDARY OUTCOME MEASURES: Seeking emergency medical help (calling 911), as reported by participants, was the sole outcome measure of this analysis. RESULTS: Medical help was sought (emergency services-911 called) in 89 (54.3%) of 164 overdoses where naloxone was administered. The majority of administration events occurred in private residences (50.6%) and on the street (23.4%), where reported rates of calling 911 were 27.5% and 81.1%, respectively. Overdoses occurring on the street (compared to private residence) were significantly associated with higher odds of calling 911 in multivariate analysis (OR=10.68; 95% CI 2.83 to 51.87; p<0.01), after adjusting for other variables. CONCLUSIONS: Overdoses occurring on the street were associated with higher odds of seeking emergency medical help by responders. Further research is needed to determine if sex and stimulant use by the person who overdosed are associated with seeking emergency medical help. The results of this study will inform interventions within the British Columbia Take Home Naloxone programme and other jurisdictions to encourage seeking emergency medical help.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".