Youth injury prevention in Canada: use of the Delphi method to develop recommendations
Bibliographic record
Abstract
BACKGROUND: The Health Behaviour in School-aged Children Survey is one of very few cross-national health surveys that includes information on injury occurrence and prevention within adolescent populations. A collaboration to develop a Canadian youth injury report using these data resulted in, Injury among Young Canadians: A national study of contextual determinants. The objective of this study was to develop specific evidence-based, policy-oriented recommendations arising from the national report, using a modified-Delphi process with a panel of expert stakeholders. METHOD: Eight injury prevention experts and a 3-person youth advisory team associated with a Canadian injury prevention organization (Parachute Canada) reviewed, edited and commented on report recommendations through a three-stage iterative modified-Delphi process. RESULTS: From an initial list of 27 draft recommendations, the modified-Delphi process resulted in a final list of 19 specific recommendations, worded to resonate with the group(s) responsible to lead or take the recommended action. Two recommendations were rated as "extremely important" or "very important" by 100 % of the expert panel, two were deleted, a further two recommendations were deleted but the content included as text in the report, and four were merged with other existing recommendations. CONCLUSIONS: The modified-Delphi process was an appropriate method to achieve agreement on 19 specific evidence-based, policy-oriented recommendations to complement the national youth injury report. In providing their input, it is noted that the injury stakeholders each acted as individual experts, unattached to any organizational position or policy. These recommendations will require multidisciplinary collaborations in order to support the proposed policy development, additional research, programming and clear decision-making for youth injury prevention.
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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 | 0.201 | 0.248 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.015 | 0.011 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".