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32 Blending the old with the new: “see one, do one”: a randomised controlled trial into the use of a first person perspective simulation video prior to a simulation scenario

2016· article· en· W2907737769 on OpenAlexaboutno aff
Junaid Fukuta, Jennifer Morgan

Bibliographic record

VenueE-Posters · 2016
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)CurriculumComputer scienceControl (management)Test (biology)Medical educationMedical physicsPsychologyMedicineArtificial intelligencePedagogy

Abstract

fetched live from OpenAlex

Introduction Simulation training is increasingly seen as an integral part of the medical curriculum. However it is time and faculty intensive and more efficient uses of it are being sought. One solution could be to employ the old adage of “see one, do one”. Studies have measured benefits of videos shown prior to learning practical procedures. However no work has been done into benefits of videos shown prior to simulation scenarios. Methods We produced a video of the management of pulmonary oedema utilising a first person perspective to improve authenticity and realism. Thirty seven students were randomised with seventeen viewing the video prior to simulation and twenty not. The students then carried out a simulation on the management of pulmonary oedema. They were scored on “time to decision” of diagnosis, investigation and management and non-technical skills using the Ottawa Crisis Resource Management (CRM) score. Results Students who watched the video were better in all scored domains. 100% of students who watched the video made the correct diagnosis compared to 70% of those who had not. They were significantly faster at making the correct diagnosis (p = 0.01), and in almost all “time to decisions” for investigation and management the test arm appeared to perform better than the control arm. The students’ non-technical skills were also better with a significant improvement in four out of the five domains of the CRM score. Discussion Students appeared to perform globally better but in particular with correct diagnosis and non-technical skills. Conclusion The use of a pre simulation video as a teaching tool appears to improve students’ performance in clinical decision making and non-technical skills. Combining a pre-simulation video (“see one”), with simulation (“do one”) appears to improve students’ performance in clinical scenarios.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.060
GPT teacher head0.331
Teacher spread0.271 · 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 designRandomized trial
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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