Qualitative Exploration of Emergency Department Care Experiences Among People With Opioid Use Disorder
Bibliographic record
Abstract
STUDY OBJECTIVE: We described the experiences and preferences of people with opioid use disorder who access emergency department (ED) services regarding ED care and ED-based interventions. METHODS: Between June and September 2020, we conducted phone or in-person semistructured qualitative interviews with patients recently discharged from 2 urban EDs in Vancouver, BC, Canada, to explore experiences and preferences of ED care and ED-based opioid use disorder interventions. We recruited participants from a cohort of adults with opioid use disorder who were participating in an ED-initiated outreach program. We transcribed audio recordings verbatim. We iteratively developed a thematic coding structure, with interim analyses to assess for thematic saturation. Two team members with lived experience of opioid use provided feedback on content, wording, and analysis throughout the study. RESULTS: We interviewed 19 participants. Participants felt discriminated against for their drug use, which led to poorer perceived health care and downstream ED avoidance. Participants desired to be treated like ED patients who do not use drugs and to be more involved in their ED care. Participants nevertheless felt comfortable discussing their substance use with ED staff and valued continuous ED operating hours. Regarding opioid use disorder treatment, participants supported ED-based buprenorphine/naloxone programs but also suggested additional options (eg, different initiation regimens and settings and other opioid agonist therapies) to facilitate further treatment uptake. CONCLUSION: Based on participant experiences, we recommend addressing potentially stigmatizing practices, increasing patient involvement in their care during ED visits, and increasing access to various opioid use disorder-related treatments and community support.
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.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".