The preparticipation evaluation for athletes with disability.
Bibliographic record
Abstract
BACKGROUND: Athletes are routinely assessed medically prior to competition. Although standardized preparticipation examinations (PPEs) are available for able-bodied athletes, the literature lacks any validated equivalent for the athlete with disability (AWD). Since participation and level of competition is increasing in this population, evidence-based tools such as a standardized PPE form should be available for health professionals to assess AWD health and safety. AIM OF THE STUDY: To develop an AWD-targeted standardized preparticipation history evaluation (PPE history) using consensus-based expert recommendations. METHODS: Researchers developed a PPE history for critical evaluation of its content validity. Structured Delphi method for collecting and interpreting contributions from an expert panel using a series of questionnaires with controlled feedback was performed. Opinions based on the experience of related experts - physiotherapists, sports medicine physicians and physiatrists - were studied during each of the three survey rounds. The process was terminated once adequate consensus relating to the proposed PPE history document was reached. RESULTS: Majority consensus was reached for forty-nine of fifty-four items to create a refined ten section AWD-specific document to supplement the current standardized PPE. Modifications were made by researchers to accommodate the five items that did not reach statistical consensus. CONCLUSION: Consensus was reached on a variety of AWD-specific PPE items, including the disability-related history and functional review. Equipment issues represent a complex area of evaluation, worthy of future research and discussion. The current proposed PPE history tool is considered comprehensive and ready for application in a clinical setting as an adjunct to existing PPE tools. Injury research in the AWD population will provide guidance for refinement and further validation of this PPE history document. LEVEL OF EVIDENCE: 5.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".