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Record W2991923043 · doi:10.1136/bmjstel-2019-000515

Risk orientation predicts hypoxic time during difficult airway simulation: a mixed-methods pilot study

2019· article· en· W2991923043 on OpenAlex

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

VenueBMJ Simulation & Technology Enhanced Learning · 2019
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDebriefingThematic analysisAirwayMedicinePersonalityIntervention (counseling)Airway managementPsychologyClinical psychologyNursingQualitative researchSocial psychologyAnesthesiaMedical education

Abstract

fetched live from OpenAlex

Personality factors may explain some of the practice variation observed in medicine. In this pilot study, we used simulation to investigate the relationship between risk orientation and airway management. We hypothesised that higher risk tolerance would predict earlier intervention. Ten emergency medicine residents from the University of Alberta participated in a standardised difficult airway simulation. There was a constant rate of oxygen desaturation necessitating eventual airway intervention. A debriefing interview and a risk orientation questionnaire followed. Time of hypoxia prior to intervention was the outcome measure. Audio interview transcripts underwent thematic analysis. Nine participants were included; one did not complete the simulation as instructed. Higher risk tolerance predicted longer hypoxic time prior to intubation (r=0.72, p=0.03). Theme analysis revealed consistent fears regarding patient instability and chances of a failed airway intervention. Patient instability was emphasised more so by those who intervened earlier. We show that personality characteristics influence resuscitation decision-making at an early stage of training. Trainees may therefore be susceptible to certain types of medical error based on their risk aversion. Implications for resident training, care quality and patient safety are discussed.

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)0.001
metaresearch head score (Gemma)0.080
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.080
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.378
Teacher spread0.363 · 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