Qualitative assessment of take-home naloxone program participant and law enforcement interactions in British Columbia
Bibliographic record
Abstract
BACKGROUND: The British Columbia take-home naloxone (BCTHN) program has been in operation since 2012 and has resulted in the successful reversal of over 581 opioid overdoses. The study aims to explore BCTHN program participant perspectives about the program, barriers to participants contacting emergency services (calling "911") during an overdose, and perspectives of law enforcement officials on naloxone administration by police officers. METHODS: Two focus groups and four individual interviews were conducted with BCTHN program participants; interviews with two law enforcement officials were also conducted. Qualitative analysis of all transcripts was performed. RESULTS: Positive themes about the BCTHN program from participants included easy to understand training, correcting misperceptions in the community, and positive interactions with emergency services. Potential barriers to contacting emergency services during an overdose include concerns about being arrested for outstanding warrants or for other illegal activities (such as drug possession) and confiscation of kits. Law enforcement officials noted that warrants were complex situational issues, kits would normally not be confiscated, and admitted arrests for drug possession or other activities may not serve the public good in an overdose situation. Law enforcement officials were concerned about legal liability and jurisdictional/authorization issues if naloxone administration privileges were expanded to police. CONCLUSIONS: Program participants and law enforcement officials expressed differing perspectives about warrants, kit confiscation, and arrests. Facilitating communication between BCTHN program participants and other stakeholders may address some of the confusion and remove potential barriers to further improving program outcomes. Naloxone administration by law enforcement would require policies to address jurisdiction/authorization and liability issues.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".