Attitudes towards people who use substances: a survey of mental health clinicians from an urban hospital in British Columbia
Bibliographic record
Abstract
Stigma and other barriers limit harm reduction practice integration by clinicians within acute psychiatric settings. The objective of our study was to explore mental health clinician attitudes towards substance use and associations with clinical experience and education level. The Brief Substance Abuse Attitudes Survey was completed among a convenience sample of mental health clinicians in Vancouver, British Columbia. Five predefined attitude subgroups were evaluated. Respondents' attitudes towards substance use were associated with level of education on questions from two (non-stereotyping [p = 0.012] and treatment optimism [p = 0.008]) subscales. In pairwise comparisons, postgraduate education was associated with more positive attitudes towards relapse risk (p = 0.004) when compared to diploma-educated respondents. No significant associations were observed between years of clinical experience and participant responses. Our findings highlight important aspects of clinician attitudes that could improve harm reduction education and integration into clinical practice.
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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) | 0.001 | 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 | 0.000 |
| 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".