Tabletop Simulations in Medical Emergencies
Bibliographic record
Abstract
SUMMARY STATEMENT: Tabletop simulations (TTS) are a novel educational modality used in health care education. The objective of this scoping review was to describe the use of TTS in medical emergencies, specifically settings, specialties, participants, formats, and outcomes.We included 70 studies (33 descriptive studies [47%], 33 cohort studies [47%], and 2 randomized controlled trials [3%]), of which 65 reported positive results regarding reaction and learning educational outcomes (reaction: n = 37, 53%; learning: n = 25, 36%; behavior: n = 7, 10%; result: n = 1, 1%). The scenario for most TTS was a disaster (n = 56; 80%). Most TTS involved participants from several professions (n = 45; 64%). A board game was used in 26 studies (37%).Most studies on TTS in medical emergencies involved participants from multiple professions addressing disaster scenarios and showed positive results pertaining to reaction or learning educational outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".