Low-Value Inter-hospital Transfers in Canadian Trauma Care: Protocol for an Environmental Scan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Injuries place a substantial burden on Canadian society, resulting in a significant loss of life-years and immense healthcare costs. Within trauma systems, low-value transfers—defined as unnecessary, inappropriate, or inefficient inter-facility patient movements—are a pervasive source of low-value care. They impose a considerable economic and ecological burden and compromise care quality by exposing individuals to avoidable risks such as prolonged transport times, delayed access to definitive care, and an increased potential for adverse events. Furthermore, they can inflict significant psychological distress and personal costs on caregivers. Recognizing these multifaceted detrimental impacts, reducing low-value transfers has been identified as a trauma system improvement priority across Canada. This protocol describes a comprehensive national environmental scan designed to systematically assess current trauma transfers structures within all Canadian provincial trauma systems. The anticipated results will provide a foundational understanding and detailed mapping of existing trauma transfer structures across Canada.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.009 | 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 it