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Record W3152433721 · doi:10.36834/cmej.71376

Rehearsal simulation for antenatal consults

2021· article· en· W3152433721 on OpenAlexaffvenue
Anita Cheng, D. Yuen, Sayra Cristancho

Bibliographic record

VenueCanadian Medical Education Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsWestern University
Fundersnot available
KeywordsChecklistConversationPsychologyEmpathyMedicineNursingMedical educationSocial psychologyCommunicationCognitive psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Rehearsal simulations are patient-specific case- matched tasks performed immediately prior to the actual task, with the objective of improving performance. OBJECTIVE: How does rehearsal simulation for antenatal consults impact how residents learn to engage in difficult conversations with families? STUDY DESIGN: Residents in the NICU performed case-matched video recorded rehearsal simulations, followed by actual antenatal consults. The purpose of antenatal consults is to prepare parents expecting a complication with their baby before birth. Questionnaires assessed changes in resident confidence and self-assessment of communication skills. Residents were interviewed for qualitative data to explore the overall impact of rehearsal simulation on their learning and performance. RESULTS: Thirteen residents participated. Rehearsal simulation improved confidence with a more organized approach of medical content and better communication techniques, allowing for a shift of focus from a checklist approach to building rapport and displaying empathy. CONCLUSIONS: While rehearsal simulation did not prepare residents for unexpected parent responses, trainees' increased confidence with medical content organization and communication techniques created space for reflection-in-action and compassionate approaches.

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 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)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.000

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 head0.029
GPT teacher head0.393
Teacher spread0.364 · 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 teacher head, not a consensus.

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

Citations5
Published2021
Admission routes2
Has abstractyes

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