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Immersive Video Modeling Versus Traditional Video Modeling for Teaching Central Venous Catheter Insertion to Medical Residents
- Source :
- Cureus
- Publication Year :
- 2021
- Publisher :
- Cureus, 2021.
-
Abstract
- Background Central Venous Catheter (CVC) placement is a common critical care procedure. Simulated practice has been shown to reduce its iatrogenic complications. Video modeling (VM) is an instructional adjunct that improves the quality and success of CVC insertion. Immersive VM can improve recall and skill translation, but its role in teaching medical procedures is not established. Research question/hypothesis We hypothesized that, relative to traditional VM, immersive VM would decrease cognitive load and enhance ultrasound-guided CVC insertion skill acquisition. Methods Thirty-two resident physicians from four specialties were randomized into traditional (control) or immersive VM (intervention) groups for three CVC training sessions. Cognitive load was quantified via NASA Task Load Index (TLX). Mean (± standard deviations) values were compared using two-tailed t-tests. Skill acquisition was quantified by procedural time and the average 5-point [EM1] [TB2] entrustment score of three expert raters. Results Overall entrustment scores improved from the first (3.44±0.98) to the third (4.06±1.23; p
- Subjects :
- medicine.medical_specialty
NASA-TLX
medicine.medical_treatment
central venous catheter
video-based learning
video modeling
Dreyfus model of skill acquisition
Simulation design
Physical medicine and rehabilitation
skills and simulation training
simulation in medical education
Internal Medicine
Medicine
simulation design
medical resident education
Recall
business.industry
Significant difference
General Engineering
Video modeling
Medical Education
360-degree video recording
Emergency Medicine
business
Central venous catheter
Cognitive load
Subjects
Details
- Language :
- English
- ISSN :
- 21688184
- Volume :
- 13
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Cureus
- Accession number :
- edsair.doi.dedup.....4d8604a4419afb380fe779b22f5e114c