Critical events during out-of-hospital air-medical patient transport in Ontario: A restrospective study
Bibliographic record
Abstract
Transporting acutely ill patients outside of healthcare facilities (out-of-hospital transport) is necessary in a regionalized healthcare system but may put patients at risk of clinical deterioration. This thesis presents the design and analysis of a retrospective cohort study that determines the incidence and predictors of in-transit critical events during out-of-hospital air medical transport of high-risk, acutely ill adult patients. The first chapter of this thesis presents the rationale and a conceptual framework for the study of out-of-hospital transport using a novel population-based dataset. The second chapter presents the characteristics of air medical transport in acutely-ill patients in Ontario, and a description of critical events that occur during transport. Chapter Three identifies factors independently associated with in-transit critical events using multivariate regression techniques. Chapter Four summarizes the key findings under three thematic headings and discusses the relevance of each as well as directions for future research and investigation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".