Perceptions of Overdose Response Hotlines and Phone Application Services Among Women and Gender-diverse Individuals Who Use Drugs in Canada: A Qualitative Study
Bibliographic record
Abstract
OBJECTIVES: In 2021, opioid-related deaths have increased by 96% and continue to be higher than prepandemic levels. In particular, women and gender-diverse individuals face numerous challenges when assessing harm reduction supports, including physical supervised consumption sites, compared with male counterparts. Mobile overdose response services (MORSs) including overdose response hotlines and phone-based overdose response applications are novel virtual overdose response technologies that may help mitigate this issue. This study aims to explore how women and gender-diverse individuals engage with and perceive these services. METHODS: A qualitative study using grounded theory was conducted. Using existing peer networks and purposive and snowball sampling between March and July 2023, 19 semistructured interviews were conducted with women and gender-diverse individuals in Canada who have lived experience using substances. NVivo was used for thematic analysis, which continued until saturation was reached. RESULTS: The interviews elucidated the following 5 themes: Overdose response hotlines and applications were generally preferred over supervised consumption sites due to (1) perceived gender-based safety; (2) better accommodation for mothers concerned with stigma, childcare, and child welfare systems; and (3) eased accessibility for those involved in sex work. It was also noted that (4) judgment-free spaces and trauma-informed care provided by staff with lived experiences were invaluable, and (5) decriminalization of illicit substances will encourage uptake of these harm reduction services. CONCLUSION: This study found that women and gender-diverse individuals felt positively toward overdose response hotlines and applications with the potential to fill a need in providing harm reduction services that create feelings of safety, support roles of motherhood and sex work, and generate nonstigmatizing spaces.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".