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Teaching first or teaching last: does the timing matter in simulation-based surgical scenarios?
Benjamin Zendejas1, David A Cook, David R Farley
1Department of Surgery, College of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA.
Journal of Surgical Education
|December 16, 2010
Summary
Teaching surgical trainees after simulation scenarios significantly improves knowledge outcomes compared to teaching before. This finding suggests optimal timing for instruction in simulation-based medical education.
Area of Science:
- Medical Education
- Surgical Training
- Simulation-Based Learning
Background:
- The optimal timing for instruction within simulation-based learning remains an area of active investigation.
- Understanding how instructional timing impacts knowledge acquisition is crucial for effective surgical training.
Purpose of the Study:
- To compare the effects of teaching surgical trainees before versus after simulation scenarios on knowledge outcomes.
- To investigate the influence of instructional timing on learning in simulation-based medical education.
Main Methods:
- A pretest/posttest crossover study design was employed with medical students and surgical residents (PGY 1-3).
- Participants completed three instructional modules (endocrine surgery, trauma resuscitation, team training), each with a teaching-first and teaching-last sequence.
- Knowledge was assessed using identical multiple-choice tests before and after each session, with data analyzed using repeated-measures ANOVA.
Main Results:
- Mean pretest knowledge scores were comparable between groups.
- A statistically significant difference in the change in scores from pretest to posttest was observed between the teaching-first and teaching-last groups (p = 0.002).
- Participants in the teaching-last group achieved higher mean posttest scores (8.24) compared to the teaching-first group (6.68).
Conclusions:
- Instruction delivered after simulation scenarios leads to superior knowledge gains in surgical trainees.
- Potential mechanisms include reduced cognitive overload, stress mitigation, or enhanced activation of prior knowledge when learning occurs post-simulation.
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