Concussion Awareness Training Tool for Youth: Impact on Concussion Knowledge, Beliefs, and Reporting Intentions
Bibliographic record
Abstract
BACKGROUND: Concussion education is recommended to increase concussion knowledge, beliefs, and reporting intentions. The Concussion Awareness Training Tool for Youth (CATT-Youth) is a 40-minute e-Learning module developed for high school-aged youth. AIM: The aim of the study was to evaluate changes in concussion knowledge, beliefs, and reporting intentions in high school youth from Calgary, Canada, following completion of the CATT-Youth. METHODS: This study used a modified stepped-wedge trial design. High school classes were randomly assigned to an intervention (Ix) or delayed intervention (DIx) group. Ix group participants completed a pre-CATT survey immediately followed by the CATT-Youth, then a post-CATT survey 2 to 6 weeks later. DIx group participants completed two pre-CATT surveys 2 to 6 weeks apart, with the CATT-Youth completed immediately following the second pre-CATT, then a post-CATT survey 2 to 6 weeks later. The pre-/post-CATT survey encompassed 11 subtests evaluating concussion knowledge, beliefs, and reporting intentions. Independent mixed linear regression models were conducted to examine changes in scores for each subtest. RESULTS: = 131). The CATT-Youth significantly increased general concussion knowledge, Ix δ = 0.546/8 (95% confidence interval [CI] = [0.243, 0.849]), DIx δ = 0.728/8 (95% CI = [0.389, 1.106]), and beliefs about capabilities, Ix δ = 2.462/28 (95% CI = [1.086, 3.838]), DIx δ = 3.219/28 (95% CI = [1.594, 4.844]) for both groups. For some subtests, improvements were noted in the DIx group only. CONCLUSION: The CATT-Youth module improved concussion knowledge and beliefs about capabilities for students in both groups. Future studies should explore the utility of the CATT-Youth in changing knowledge, beliefs, and reporting intentions in high school students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".