Simulation-based Training Improves Physicians' Performance in Patient Care in High-stakes Clinical Setting of Cardiac Surgery
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Bibliographic record
Abstract
BACKGROUND: Simulation-based training is useful in improving physicians' skills. However, no randomized controlled trials have been able to demonstrate the effects of simulation teaching in real-life patient care. This study aimed to determine whether simulation-based training or an interactive seminar resulted in better patient care during weaning from cardiopulmonary bypass (CPB)-a high stakes clinical setting. METHODS: This study was conducted as a prospective, single-blinded, randomized controlled trial. After institutional research board approval, 20 anesthesiology trainees, postgraduate year 4 or higher, inexperienced in CPB weaning, and 60 patients scheduled for elective coronary artery bypass grafting were recruited. Each trainee received a teaching syllabus for CPB weaning 1 week before attempting to wean a patient from CPB (pretest). One week later, each trainee received a 2-h training session with either high-fidelity simulation-based training or a 2-h interactive seminar. Each trainee then weaned patients from CPB within 2 weeks (posttest) and 5 weeks (retention test) from the intervention. Clinical performance was measured using the validated Anesthesiologists' Nontechnical Skills Global Rating Scale and a checklist of expected clinical actions. RESULTS: Pretest Global Rating Scale and checklist performances were similar. The simulation group scored significantly higher than the seminar group at both posttest (Global Rating Scale [mean +/- standard error]: 14.3 +/- 0.41 vs. 11.8 +/- 0.41, P < 0.001; checklist: 89.9 +/- 3.0% vs. 75.4 +/- 3.0%, P = 0.003) and retention test (Global Rating Scale: 14.1 +/- 0.41 vs. 11.7 +/- 0.41, P < 0.001; checklist: 93.2 +/- 2.4% vs. 77.0 +/- 2.4%, P < 0.001). CONCLUSION: Skills required to wean a patient from CPB can be acquired through simulation-based training. Compared with traditional interactive seminars, simulation-based training leads to improved performance in patient care by senior trainees in anesthesiology.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it