Increasing Emergency Medicine Residents’ Confidence in Disaster Management: Use of an Emergency Department Simulator and an Expedited Curriculum
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.
Bibliographic record
Abstract
INTRODUCTION: Disaster Medicine is an increasingly important part of medicine. Emergency Medicine residency programs have very high curriculum commitments, and adding Disaster Medicine training to this busy schedule can be difficult. Development of a short Disaster Medicine curriculum that is effective and enjoyable for the participants may be a valuable addition to Emergency Medicine residency training. METHODS: A simulation-based curriculum was developed. The curriculum included four group exercises in which the participants developed a disaster plan for a simulated hospital. This was followed by a disaster simulation using the Disastermed.Ca Emergency Disaster Simulator computer software Version 3.5.2 (Disastermed.Ca, Edmonton, Alberta, Canada) and the disaster plan developed by the participants. Progress was assessed by a pre- and post-test, resident evaluations, faculty evaluation of Command and Control, and markers obtained from the Disastermed.Ca software. RESULTS: Twenty-five residents agreed to partake in the training curriculum. Seventeen completed the simulation. There was no statistically significant difference in pre- and post-test scores. Residents indicated that they felt the curriculum had been useful, and judged it to be preferable to a didactic curriculum. In addition, the residents' confidence in their ability to manage a disaster increased on both a personal and and a departmental level. CONCLUSIONS: A simulation-based model of Disaster Medicine training, requiring approximately eight hours of classroom time, was judged by Emergency Medicine residents to be a valuable component of their medical training, and increased their confidence in personal and departmental disaster management capabilities.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it