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Record W7046991950

The Epidemiology of Pediatric Ambulance Transport in Ontario, Canada

2023· other· en· W7046991950 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsChokingEpidemiologyInjury preventionPoison controlOccupational safety and healthInjury Severity ScoreEmergency department
DOInot available

Abstract

fetched live from OpenAlex

Background:\nTrauma is one of the most frequent requests for ambulance services. However, little is known about the mechanism of injury sustained by pediatric patients seen by a paramedic. There are few studies comparing ambulance transport to private transport in pediatric patients and none within the Canadian context.\n\nMethods:\nThis dissertation consists of three studies that describe the epidemiology of pediatric ambulance transport in Ontario, Canada. Study 1 focuses on creating a profile of children <19 years who were seen by Toronto Paramedic Services. Study 2 examines the difference in all-cause-mortality, hospitalization, ICU admission, and severe injury between ambulance transport and private transport to the emergency department [ED] in children in the province of Ontario. Study 3 examines differences in all-cause-mortality, hospitalization, ICU admission, and severe injury between ambulance transport and private transport in motor vehicle collisions for children in Ontario.\n\nResults:\nIn Manuscript 1, the most common mechanism of injuries were falls, transport related injuries, assault/gunshot injuries, injuries involving choking or foreign bodies, and burn/scald injuries. In Manuscript 2, there were 1,872,519 patients who sustained an injury in Ontario with 129,577 (6.9%) transported to the ED via ambulance. The adjusted OR for all cause mortality was 154.88 (95% CI: 101.11-237.23), the adjusted OR for ICU admission was 19.17 (95% CI: 18.01-20.41), the adjusted OR for hospitalization was 13.27 (95% CI: 12.97-13.57) and the adjusted OR for severe injury was 1.88 (95% CI: 1.78-1.98). In Manuscript 3, There were 32,025 patients who sustained an injury in an MVC with 13,995 (43.7%) transported to the ED via ambulance. The adjusted OR for mortality in an MVC was 33.05 (95% CI: 8.05-135.79), the adjusted OR for ICU admission was 17.14 (95% CI: 11.57-25.39), the adjusted OR for hospitalization was 13.30 (95% CI: 11.05-16.01), and the adjusted OR for severe injury was 2.22 (95% CI: 1.45-3.39).\n\nConclusions:\nThe majority of injuries seen by TPS were fall related, transport-related, gunshots/assaults, choking/foreign body, and burn/scald injuries. Ambulance transport amongst pediatric patients who sustained an injury and patients who were injured in an MVC in Ontario is associated with increased odds of mortality and morbidity outcomes.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.009
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.014
GPT teacher head0.168
Teacher spread0.154 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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