Evaluating practices in the management of youth nicotine vaping in hospital-based child and youth mental health and addictions settings in Canada: protocol for a mixed-methods study
Bibliographic record
Abstract
INTRODUCTION: Nicotine vaping is common among children and youth, and even more so among those with mental health concerns. Identifying and managing nicotine vaping in child and youth mental health treatment settings is key to addressing this modifiable risk factor for poorer physical and mental health in young people. Recommendations exist for screening, assessment and treatment of youth vaping; however, it remains unclear whether current practices in child and youth mental health programmes align with recommended standards. METHODS AND ANALYSIS: An explanatory sequential mixed methods design with three stages will be employed. In the first stage, a cross-sectional survey will be distributed to all eligible Canadian hospitals to identify practices in assessment and treatment of nicotine vaping within their child and youth mental health and addictions programmes. This survey will also assess barriers and facilitators for the uptake of the 2021 Canadian Paediatric Society recommendations on management of youth vaping. Semi-structured focus groups and interviews will be conducted in stage two, with clinicians, managers, youth and caregivers. Qualitative data will be analysed using a reflexive thematic approach. In stage three, findings and proposed behaviour change interventions will be reviewed at a knowledge mobilisation meeting with the goal of developing a national knowledge mobilisation plan to improve assessment and treatment of youth vaping in hospital-based mental health and addictions programmes. ETHICS AND DISSEMINATION: This study has received ethics approval from the Research Ethics Board at the Children's Hospital of Eastern Ontario (Protocol #25/19X). Participants will provide informed consent prior to participating. Results will be published in peer-reviewed journals and presented at scientific conferences. Summaries will be provided to the funders of the study and to participating hospitals.
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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 | 0.063 | 0.034 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.041 | 0.005 |
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".