Impact of a 3-Month Recall Using High-Fidelity Simulation or Screen-Based Simulation on Learning Retention During Neonatal Resuscitation Training for Residents in Anesthesia and Intensive Care: Randomized Controlled Trial
Bibliographic record
Abstract
Background: Retention capacities are dependent on the learning context. The optimal interval between two learning sessions to maintain a learner's knowledge is often a subject of discussion, along with the methodology being used. Screen-based simulation could represent an easy alternative for retraining in neonatal resuscitation. Objective: The aim of the study was to evaluate the benefits of a 3-month recall session using high-fidelity simulation or screen-based simulation, assessed 6 months after an initial neonatal resuscitation training session among anesthesia and intensive care residents. Methods: All participating anesthesia and intensive care residents were volunteers, and they underwent training in the same session, which included a theoretical course and high-fidelity simulation. The attendees were then randomized into three groups: one with no 3-month recall, one with a high-fidelity simulation recall, and one with a screen-based simulation recall. To reassess the skills of each participant, a high-fidelity simulation was performed at 6 months. The primary outcomes included expert assessment of technical skills using the Neonatal Resuscitation Performance Evaluation score and nontechnical skills assessed by the Anesthesia Non-Technical Skills score. Secondary outcomes included a knowledge quiz and self-assessment of confidence. We compared the results between groups and analyzed intragroup progressions. Results: Twenty-eight participants were included in the study. No significant differences were observed between groups at the 6-month evaluation. However, we observed a significant improvement in theoretical knowledge and self-confidence among students over time. Regarding nontechnical skills, as evaluated by the Anesthesia Non-Technical Skills score, there was significant improvement between the initial training and the 6-month session in both recall groups (16 vs 12.8, P=.01 in the high-fidelity group; 16 vs 13.9, P=.05 in the simulation group; 14.7 vs 15.1, P=.50 in the control group). For technical skills assessed by the Neonatal Resuscitation Performance Evaluation score, a nonsignificant trend toward improvement was observed in the two recall groups, while a regression was observed in the control group (all Ps>.05). The increase in students' self-confidence was significant across all groups but remained higher in the two 3-month recall groups. Conclusions: Initial neonatal resuscitation training for anesthesia and intensive care residents leads to improved knowledge and self-confidence that persist at 6 months. A 3-month recall session, whether through high-fidelity simulation or screen-based simulation, improves nontechnical skills (eg, situation management and team communication) and technical skills. Screen-based simulation, which saves time and resources, appears to be an effective educational method for recall after initial training. The study outcomes justify the need for further studies with larger sample sizes to confirm the promising role of serious games in educational programs for medical students.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".