Testing the Feasibility, User Experiences, and Preliminary Effect of <i>Conversation Cards for Adolescents</i> <sup>©</sup> For Behavior Change and Collaborative Goal Setting in Primary Care: A Pilot Randomized Controlled Trial
Bibliographic record
Abstract
Our team developed Conversation Cards for Adolescents© (CCAs), a tool to help adolescents and health care providers (HCPs) communicate and collaboratively set behavior change goals. The objectives of this pilot randomized controlled trial were to test the feasibility, user experience, and preliminary effect of using CCAs with adolescents in primary care, focusing on behavior change and collaborative goal setting among adolescents. From March 2019 to September 2022, adolescents were recruited from the Northeast Community Health Centre (Edmonton, AB). Adolescents were randomized (1:1) to one of two groups: CCA + goal setting (experimental group) or goal setting alone (control group). Data were collected from both groups at baseline and at 3-weeks post-baseline. In total, 31 adolescents completed the trial (terminated early due to COVID-19). The study demonstrated high practicality. Adolescents reported positive user experiences with CCAs, citing attractiveness, clarity, efficiency, and dependability. No group differences were detected for behavior changes at 3-weeks post-baseline (p > .05), although adolescents in the experimental group qualitatively described improved rapport and communication with HCPs. CCAs can be used practically in a primary health care setting to facilitate communication and rapport with adolescents; however, their effect in enabling behavior change should be investigated in a multi-site, larger-scale trial.
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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 | 0.017 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".