Patient Presentations and Medical Logistics at Full and Half Ironman Distance Triathlons
Bibliographic record
Abstract
We describe logistical challenges, illness/injury rates, as well as medical and ambulance transfer rates (ATR) at an annual large-scale half/full triathlon in a remote location. Prospective observational study; registry data. Data on patient presentation rates, percentage of patients transferred by ambulance, transfer to hospital rates (TTHR), ATR, and medical usage rates were collected and analyzed. In total, 1923 athletes participated in the 2016 triathlon (1404 in the full-length race and 519 in the half) and 181 patient encounters were documented. The patient presentation rate (PPR) was 94 in 1000 patients, and 1.6% of patients seen onsite required offsite medical care. TTHR and ATR were 1.6 in 1000 and 0.5 in 1000, respectively. Gastrointestinal issues were the most common presentation (50/181; 27.6%), followed by musculoskeletal injury (46/181; 25.4%) and nonspecific dizziness (37/181; 20.4%). The incorporation of a coordinated event medical plan and team, with integrated on-course and at-finish coverage, may have minimized presentations of patients to local health care services; therefore, decreasing the effect on the local ambulance service and health infrastructure of the host community.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".