Accessing Take-Home Naloxone in British Columbia and the role of community pharmacies: Results from the analysis of administrative data
Bibliographic record
Abstract
INTRODUCTION: British Columbia's (BC) Take-Home Naloxone (THN) program provides naloxone to bystanders for use in cases of suspected opioid overdose. This study seeks to provide trends and analysis from the provincial BC THN program since inception in 2012 to the end of 2018. MATERIALS AND METHODS: BC THN shipment and distribution records from 2012-2018 were retrieved. Frequency distributions were used to describe characteristics of individuals accessing the program. To evaluate correlates of distribution after the addition of hundreds of pharmacy distribution sites, an analytic sample was limited to records from 2018, and multivariate logistic regression was used to evaluate correlates of collecting naloxone at a pharmacy site. RESULTS: Since program inception to the end of 2018, there were 398,167 naloxone kits shipped to distribution sites, 149,999 kits reported distributed, and 40,903 kits reported used to reverse an overdose in BC. There was a significant increasing trend in the number of naloxone kits used to reverse an overdose over time (p<0.01), and more than 90% of kits that were reported used were distributed to persons at risk of an overdose. Individuals not personally at risk of overdose had higher odds of collecting naloxone at a pharmacy site, compared to other community sites (including harm reduction supply distribution sites, peer led organizations, drop-in centers, and supportive housing sites) (Adjusted Odds Ratio (AOR): 2.69; 95% CI: 2.50-2.90). CONCLUSIONS: This study documents thousands of opioid overdose reversals facilitated through the BC THN program. While those at highest risk of overdose may preferentially access naloxone through community sites, naloxone distribution through pharmacies has allowed the BC THN program to expand dramatically, increasing naloxone availability through longer opening hours on evenings and weekends. and in rural and remote regions. A diversity of naloxone distribution sites and strategies is crucial to prevent rising opioid overdose deaths.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.016 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".