학술논문

A novel algorithm-driven hybrid simulation learning method to improve acquisition of endotracheal intubation skills: a randomized controlled study.
Document Type
Article
Source
BMC Anesthesiology. 2/8/2022, Vol. 22 Issue 1, p1-9. 9p.
Subject
*LECTURE method in teaching
*SCHOOL environment
*AFFINITY groups
*HOSPITAL medical staff
*TEACHING methods
*MEDICAL students
*LEARNING strategies
*ABILITY
*TRAINING
*RANDOMIZED controlled trials
*CLINICAL supervision
*CLINICAL medicine
*DESCRIPTIVE statistics
*STATISTICAL sampling
*ALGORITHMS
*TRACHEA intubation
*EDUCATIONAL outcomes
*CLINICAL education
*ALTERNATIVE education
Language
ISSN
1471-2253
Abstract
Background: Simulation-based training is a clinical skill learning method that can replicate real-life situations in an interactive manner. In our study, we compared a novel hybrid learning method with conventional simulation learning in the teaching of endotracheal intubation. Methods: One hundred medical students and residents were randomly divided into two groups and were taught endotracheal intubation. The first group of subjects (control group) studied in the conventional way via lectures and classic simulation-based training sessions. The second group (experimental group) used the hybrid learning method where the teaching process consisted of distance learning and small group peer-to-peer simulation training sessions with remote supervision by the instructors. After the teaching process, endotracheal intubation (ETI) procedures were performed on real patients under the supervision of an anesthesiologist in an operating theater. Each step of the procedure was evaluated by a standardized assessment form (checklist) for both groups. Results: Thirty-four subjects constituted the control group and 43 were in the experimental group. The hybrid group (88%) showed significantly better ETI performance in the operating theater compared with the control group (52%). Further, all hybrid group subjects (100%) followed the correct sequence of actions, while in the control group only 32% followed proper sequencing. Conclusions: We conclude that our novel algorithm-driven hybrid simulation learning method improves acquisition of endotracheal intubation with a high degree of acceptability and satisfaction by the learners' as compared with classic simulation-based training. [ABSTRACT FROM AUTHOR]