Substance Use Education in Canadian Nursing Programs: A Student Survey
Bibliographic record
Abstract
BACKGROUND: In Canada, nursing programs have not kept pace with the growing rates and changing patterns of substance use. METHOD: To get a sense of the current state of substance use education in nursing programs, we conducted a survey of nursing students. RESULTS: Our findings indicate that (a) substance use education is minimal, 1 to 5 hours (43%) or none (20%); (b) students had more working knowledge of legal and prescribed substances than illegal ones; (c) of 22 content areas deemed essential for practice, only seven were covered; (d) students were able to identify statements consistent with a harm reduction philosophy despite limited substance use education; and (e) the majority of students wrongfully believed that illegal substances are more harmful than legal substances. CONCLUSION: Our findings demonstrate that substance use education in nursing programs is largely insufficient and not keeping up with current issues. [J Nurs Educ. 2020;59(9):510-513.].
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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 | 0.000 | 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 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".