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Record W3129718055 · doi:10.29173/cjen13

Educational Strategies for Deployment of Resuscitative Endovascular Balloon Occlusion of the Aorta in a Tertiary Canadian Emergency Department

2021· article· en· W3129718055 on OpenAlexaffvenueabout
Sarah Gaudet, Derek Goltz, Mathieu LeBreton, C. Poulin

Bibliographic record

VenueCanadian Journal of Emergency Nursing · 2021
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsEmergency departmentMedicineMedical emergencyIntervention (counseling)Intensive care unitTrauma centerEmergency medicineIntensive care medicineNursingSurgery

Abstract

fetched live from OpenAlex

Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) is not a novel intervention in the trauma literature. However, the incorporation of this intervention into the Canadian emergency department setting is recent in onset. This healthcare setting is dynamic and the nurses who practice in the emergency setting must be efficient care providers for an infinitely diverse set of potential patient presentations. The introduction of this complex procedure was accompanied by a variety of educational strategies to enhance the uptake of this new knowledge. The usage of small groups, didactic teaching, hands-on practice, establishing unit champions, coordinating in-situ simulations, and creating workflow documents were strategies used by the education team at this academic center for this particular knowledge dissemination exercise.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.944

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0110.001
Scholarly communication0.0020.001
Open science0.0030.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.048
GPT teacher head0.389
Teacher spread0.341 · 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 designNot applicable
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
Published2021
Admission routes3
Has abstractyes

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