Ambulance Use, Health Outcomes, and Costs for Emergency Department Visits for Primary Diagnosis of Syncope in Canada
Bibliographic record
Abstract
Background Syncope is a common presentation to the emergency department (ED), yet little is known regarding patient mode of arrival. Methods We identified patients ≥20 years old who presented to the ED with a primary diagnosis of syncope in Alberta and Ontario, Canada, between 2010 and 2016. Outcomes included 30-day in-hospital mortality, ED revisits, and rehospitalizations according to mode of arrival and discharge status. The estimated cost for ambulance use was calculated based on the provincial rates (Alberta CAD$385 and Ontario $240). Results A total of 271,601 syncope presentations to the ED were identified and 60.7% arrived by ambulance. A total of 76.3% (n = 125,793) of ambulance users and 87.0% of self-presenters (n = 92,845) were discharged from the ED. Regardless of mode of arrival, discharged patients were younger with fewer comorbidities. Compared with ambulance users admitted, those discharged had lower in-hospital mortality (0.2% vs 3.5%, P < 0.001), ED revisits (4.4% vs 10.4%, P < 0.001), and rehospitalizations (3.6% vs 10.7%, P < 0.001). Discharged self-presenters also had significantly lower outcomes ( P < 0.001, for each outcome) compared with admitted self-presenters. The estimated cost for ambulance use among patients discharged from the ED was $33,137,735. Conclusion A majority of syncope patients arrived to the ED by ambulance, and over 3 quarters were directly discharged home. Although discharged patients had a favourable short-term prognosis, they incurred high transportation costs. Strategies aimed at preventing unnecessary ambulance use are needed.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".