A paramedic-staffed medical rehydration unit at a mass gathering
Bibliographic record
Abstract
INTRODUCTION: Heat-related illness is reported to be a significant cause of morbidity at outdoor mass gatherings during warm weather. Paramedics are traditionally present at mass gatherings to provide prehospital care for people in need. OBJECTIVES: To describe a paramedic-staffed medical rehydration unit and a new role for paramedics at a mass gathering attended by more than 450,000 people. METHODS: A 48-bed medical rehydration unit was deployed adjacent to the main field hospital. Paramedics admitted patients to the unit if they met predetermined criteria for mild to moderate heat-related illness. Each paramedic was responsible for four beds. Paramedics initiated oral and intravenous rehydration therapy by following medical directives. Emergency medical services (EMS) physicians reviewed patients before discharge. RESULTS: The medical rehydration unit managed 143 patients (3/10,000 attendees). The mean number of patients admitted per hour was nine. The average age was 24 years; 103 (72%) were female. The main presenting complaint was syncope, presyncope, or dizziness in 43 (30%). Forty-four (31%) patients received parenteral and oral fluids; the remainder received oral fluids alone. The average length of stay was 94 minutes (95% CI 82-106). One hundred seven (75%) patients were discharged, 17 (12%) were transferred to the main field hospital, four (3%) left against medical advice, and two (1%) required transfer to a hospital off site. In 13 (9%) cases, records of patient disposition were incomplete. CONCLUSIONS: This article defines a new role for paramedics and describes the operation of a medical rehydration unit at a large, single-day mass gathering in summer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.006 | 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".