A qualitative study on overdose response in the era of COVID-19 and beyond: how to spot someone so they never have to use alone
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Spotting is an informal practice among people who use drugs (PWUD) where they witness other people using drugs and respond if an overdose occurs. During COVID-19 restrictions, remote spotting (e.g., using a telephone, video call, and/or a social media app) emerged to address physical distancing requirements and reduced access to harm reduction and/or sexually transmitted blood borne infection (STBBI's) prevention services. We explored spotting implementation issues from the perspectives of spotters and spottees. METHODS: Research assistants with lived/living expertise of drug use used personal networks and word of mouth to recruit PWUD from Ontario and Nova Scotia who provided or used informal spotting. All participants completed a semi-structured, audio-recorded telephone interview about spotting service design, benefits, challenges, and recommendations. Recordings were transcribed and thematic analysis was used. RESULTS: We interviewed 20 individuals between 08/2020-11/2020 who were involved in informal spotting. Spotting was provided on various platforms (e.g., telephone, video calls, and through texts) and locations (e.g. home, car), offered connection and community support, and addressed barriers to the use of supervised consumption sites (e.g., location, stigma, confidentiality, safety, availability, COVID-19 related closures). Spotting calls often began with setting an overdose response plan (i.e., when and who to call). Many participants noted that, due to the criminalization of drug use and fear of arrest, they preferred that roommates/friends/family members be called instead of emergency services in case of an overdose. Both spotters and spottees raised concerns about the timeliness of overdose response, particularly in remote and rural settings. CONCLUSION: Spotting is a novel addition to, but not replacement for, existing harm reduction services. To optimize overdose/COVID-19/STBBI's prevention services, additional supports (e.g., changes to Good Samaritan Laws) are needed. The criminalization of drug use may limit uptake of formal spotting services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 it