Improving the health of Canadians: Why a certification program for tobacco educators is necessary.
Bibliographic record
Abstract
Tobacco use disorder is recognized as a chronic, relapsing condition, listed in both the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (1) and the International Classification of Diseases (2). Tobacco cessation requires a comprehensive approach that combines motivational interviewing techniques, pharmacological options and client-centred education (3,4). Health care professionals currently provide a limited amount of support to their clients in tobacco cessation, even though support has been shown to be a significant factor influencing quit rates (5). The Canadian Society of Respiratory Therapists’ smoking cessation position statement states respiratory therapists “advocate and encourage smoking cessation” (6). However, a joint statement of health care professional organizations, including the Canadian Society of Respiratory Therapists, indicates that health care professionals are not confident in providing tobacco cessation support due to “insufficient education” (7). This gap in education points to a need for additional training for respiratory therapists in tobacco cessation to further develop their competencies in this area. The present commentary argues that a national, competency-based training and certification program will enable health care professionals to develop the skills and knowledge to support their clients through tobacco use disorder. A comprehensive approach to tobacco use prevention and cessation that is founded on the principles of client education will be reviewed as an effective means for reducing the burden of disease and suffering caused by tobacco use. The fight against the use of tobacco is a personal one for the authors of the present commentary. We have lost family members, friends and clients to chronic obstructive pulmonary disease, cancer and heart disease caused by tobacco. The fight against tobacco has been ongoing and, while there is a decrease in the prevalence, tobacco continues to be the leading cause of death in Canada (8).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.031 | 0.025 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".