Smoking cessation counselling training in the pre-clerkship curriculum of Canadian medical schools: A national survey
Bibliographic record
Abstract
Background: Cigarette use is Canada’s leading cause of preventable disease, disability, and death. The Medical Council of Canada requires that physicians be able to address tobacco-use, however smoking cessation counselling (SCC) training remains largely neglected in the pre-clerkship curricula of many Canadian medical schools.Methods: Between July and October of 2015, Canada’s 17 medical schools were invited to participate in an administrative survey: The Canadian Medical School Assessment of Smoking Cessation Counselling in the Pre-Clerkship Curriculum. Each was asked to comment on the presence of 28 tobacco-related topics in their curricula, including: time devoted to source material; year(s) of training during which medical students were exposed to related content; methods of teaching and examination; and, the attitudes, policies, and barriers relevant to the presence of smoking cessation counselling (SCC) training in the curriculum.A second short survey: Assessing Medical Students Attitudes toward Smoking Cessation Education was distributed to 100 University of Ottawa medical students to assess comfort level and perceived confidence toward addressing smoking cessation with patients.Results: Eleven of 17 medical schools completed the administrative survey. The results demonstrated substantial deficits and inconsistencies in the delivery of SCC training in the pre-clerkship curricula of Canada’s medical schools. The short survey revealed perceived discomfort regarding smoking cessation discussion, consistent with the potential curriculum deficits suggested in the larger national survey.Conclusion: The results of both surveys suggest an unfortunate oversight given the devastating impact of tobacco-related diseases. Institutional commitment and enhanced inter-university collaboration could facilitate the development of a national undergraduate medical education program to enhance the delivery of SCC training within the pre-clerkship curricula of Canadian medical schools.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".