Evaluation of Outcomes for Tobacco Cessation Counseling in the Dalhousie University Dental Hygiene Curriculum
Bibliographic record
Abstract
As part of their curriculum, senior dental hygiene students at Dalhousie University Faculty of Dentistry provide tobacco cessation counseling (TCC). This study was conducted to evaluate the effectiveness of the TCC didactic curriculum and its clinical extensions. Research methods included a comprehensive literature search, an assessment of available resources related to TCC, and a structured telephone interview. The interview, consisting of ten summative questions, was conducted to determine the current tobacco use status of clients who had been counseled by a dental hygiene student for tobacco cessation. A target population of 132 subjects was extracted from axiUm, Dalhousie University dental clinic's patient database. The population represented clients who had TCC from 2001 to 2008. The investigators wanted to know if the client was 1) advised to quit tobacco use; 2) informed of the health risks of using tobacco; 3) still using tobacco; 4) taught self-examination techniques for oral cancer; and 5) if any post-counseling follow-up was initiated. A convenience size of fifty-one subjects was obtained. Survey results, along with the assessment of resources, revealed that the current TCC program needed improvement. As a result of the research, changes were implemented aimed at improving the effectiveness of the TCC program, and recommendations were made for further changes to enhance the overall program effectiveness.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".