Advancing patient‐centered care for structurally vulnerable drug‐using populations: a qualitative study of the perspectives of people who use drugs regarding the potential integration of harm reduction interventions into hospitals
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: To explore the perspectives of structurally vulnerable people who use drugs (PWUD) regarding: (1) the potential integration of harm reduction interventions (e.g. supervised drug consumption services, opioid-assisted treatment) into hospitals; and (2) the implications of these interventions for patient-centered care, hospital outcomes and drug-related risks and harms. DESIGN: Semi-structured qualitative interviews. SETTING: Vancouver, Canada. PARTICIPANTS: Thirty structurally vulnerable PWUD who had been discharged from hospital against medical advice within the past 2 years, and hospitalized multiple times over the past 5 years. MEASUREMENTS: Semi-structured interview guide including questions to elicit perspectives on hospital-based harm reduction interventions. FINDINGS: Participant accounts highlighted that hospital-based harm reduction interventions would promote patient-centered care by: (1) prioritizing hospital care access and risk reduction over the enforcement of abstinence-based drug policies; (2) increasing responsiveness to subjective health needs (e.g. pain and withdrawal symptoms); and (3) fostering 'culturally safe' care. CONCLUSIONS: Hospital-based harm reduction interventions for people who use drugs, such as supervised drug consumption services and opioid-assisted treatment, can potentially improve hospital care retention, promote patient-centered care and reduce adverse health outcomes among people who use drugs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it