A Brief Digital Screening and Intervention Tool for Parental and Adolescent Tobacco and Electronic Cigarette Use in Pediatric Medical Care in Canada: Protocol for a Pilot Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Though rates of tobacco smoking have decreased consistently over the past 3 decades, cigarette use remains the top preventable cause of premature death in North America. The Clinical Effort Against Secondhand Smoke Exposure (CEASE) is a medical clinic-based intervention that systematically screens parents for tobacco use and offers them direct access to evidence-based smoking cessation services. While the effectiveness of CEASE for parents who smoke has already been demonstrated in the United States, the CEASE model has not yet been tested in Canada, among parents who use e-cigarettes, or among adolescents who use cigarettes and e-cigarettes. OBJECTIVE: We aim to demonstrate the feasibility and evaluate the preliminary effectiveness of the CEASE program for parental smoking cessation and its adapted version for adolescent smoking cessation and adolescent and parental vaping cessation. METHODS: We will approach parents or guardians of children aged between 0 and 17 years, as well as adolescent patients aged between 14 and 17 years, from a tertiary care pediatric hospital in Montreal, Quebec, Canada, for participation in this single-blinded, pilot randomized controlled trial. Eligible participants are those who report using tobacco cigarettes or e-cigarettes at least once in the last 7 days and present to an outpatient pediatric clinic for a scheduled appointment. Our recruitment target is 100 participants: 50 parents or guardians of children aged 17 years or younger, and 50 adolescents aged between 14 and 17 years. The feasibility of implementation of the CEASE model will be measured by recruitment and retention rates for all 4 participant groups (stratified as follows: parents who use cigarettes, parents who use e-cigarettes exclusively, adolescents who use cigarettes, and adolescents who use e-cigarettes exclusively). Parent and adolescent participants within each group are randomized to the intervention and control groups using a 1:1 ratio through a computer-generated randomization list. Preliminary effectiveness outcomes include self-reported smoking and e-cigarette cessation, use of cessation resources, changes in smoking and e-cigarette use, motivation to quit, and quit attempts among participants. Participants complete electronic questionnaires on a tablet in the clinic at baseline as well as electronic follow-up questionnaires at 1, 3, and 6 months. Individuals reporting successful quit attempts are invited to provide a urine sample for cotinine testing to biochemically confirm quit. Analyses include descriptive statistics as well as exploratory trajectory analyses of smoking, e-cigarette use, and motivation to quit. RESULTS: Research activities began in June 2022. Participant enrollment and data collection began in February 2023 and are expected to be completed in 15 months. CONCLUSIONS: There is a strong need for effective and cost-effective smoking and vaping cessation interventions for parents and adolescents. If successful, this study will help inform the preparation of a fully powered randomized controlled trial of CEASE in Canada in these populations. TRIAL REGISTRATION: Clinicaltrials.gov NCT05366790; https://www.clinicaltrials.gov/study/NCT05366790. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47978.
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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 | 0.026 | 0.024 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.065 | 0.008 |
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".