Patient transportation in Canada’s northern territories: patterns, costs and providers’ perspectives
Bibliographic record
Abstract
INTRODUCTION: Canada's northern territories are characterized by small, scattered populations separated by long distances. A major challenge to healthcare delivery is the reliance on costly patient transportation, especially emergency air evacuations (medevacs). The purpose of this study was to describe the patterns, costs and providers' perspectives on patient transportation, and identify potential factors associated with utilization and performance. METHODS: Secondary analyses of medical travel databases and an online survey of nurses in the communities and physicians in regional centers were undertaken. RESULTS: The proportion of the population living within 100 km of a hospital was 83% in Yukon, 63% in Northwest Territories (NWT) and 21% in Nunavut. In Nunavut and NWT, road access to a hospital was limited to residents of the cities where the hospitals were located, with the rest relying exclusively on air travel. Medevac rates varied among the three territories: 0.9 trips/1000 residents/year in Yukon, 32/1000 in NWT and 53/1000 in Nunavut. In Yukon, all communities except one are road-accessible whereas in Nunavut no communities are connected by roads. The relative absence of roads is a major reason why the patient transportation costs are high in Nunavut and NWT. The rate of medevacs originating from the remote, air-accessible-only communities varied greatly, which cannot be explained by the air distance from the nearest hospital, population size or frequency of health center visits. Medical travel accounts for 5% of the health expenditures in NWT and 20% in Nunavut. A medevac on average costs $218 per person per year in NWT and $700 in Nunavut. The providers survey detected only 66% or less in support of statements that nurses in the communities received timely access to clinical advice, whereas only 50% of physicians agreed with statements that the clinical information provided by the nurses was clear. CONCLUSION: Patient transportation, especially emergency air evacuations, is an essential but costly component of the healthcare system serving Canada's north. It is the 'glue' that binds an extensive network of facilities staffed by different categories of health professionals. While system design is largely dictated by geography, addressing human factors such as interprofessional communication is important for improving the system's effectiveness. This study is primarily descriptive and it points to additional areas for improved understanding of the performance of the system.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".