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Record W2945142834 · doi:10.22605/rrh5113

Patient transportation in Canada’s northern territories: patterns, costs and providers’ perspectives

2019· article· en· W2945142834 on OpenAlex
T. Kue Young, Taha Tabish, Stephanie Young, Gwen Healey

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRural and Remote Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsInstitute for Circumpolar Health ResearchNOSM UniversityQaujigiartiit Health Research CentreUniversity of Alberta
Fundersnot available
KeywordsTRIPS architectureGeographyPopulationTrauma centerHealth careMedicineDemographySocioeconomicsEnvironmental healthEconomic growthRetrospective cohort study

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.185
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.283
Teacher spread0.274 · 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