Literature DB >> 30404670

Cognitive load theory as a framework for simulation-based, ultrasound-guided internal jugular catheterization training: Once is not enough.

Robert McGraw1, Tim Chaplin1, Nicole Rocca1, Louise Rang1, Melanie Jaeger2, Matthew Holden3, Zsuzsanna Keri3, Gabor Fichtinger3.   

Abstract

OBJECTIVE: The main objective of this study was to use the principles of cognitive load theory to design a curriculum that incorporates a progressive part practice approach to teaching ultrasound-guided (USG) internal jugular catheterization (IJC) to novices. A secondary objective was to compare the technical proficiency of residents trained using this curriculum with the technical proficiency of residents trained with the current local standard of a single simulation session.
METHODS: The experimental group included 16 residents who attended three 2-hour sessions of progressive part practice in a simulation lab. The control group included 46 residents who attended the current local standard of a single 2-hour simulation session just prior to their intensive care unit rotation. Technical proficiency was assessed using hand motion analysis and time to procedure completion.
RESULTS: After three sessions, median scores for right hand motion (RHM) (34.5; [27.0-49.0]), left hand motion (LHM) (35.5; [20.0-45.0]), and total time (TT) (117.0 s; [82.7-140.0]) in the experimental group were significantly better than the control group (p<0.001). Results for eight experimental group residents who were assessed for retention at a later date revealed median scores for RHM (45.0; [32.0-58.0]), LHM (33.5; [20.0-63.0]), and TT (150.0 s; [103.0-399.6]), which were significantly better than those of the control group (p=0.01, p<0.01, and p=0.02, respectively).
CONCLUSION: These results support multiple sessions of progressive part practice in a simulation lab as an effective competency-based approach to teaching USG IJC in preparation for the clinical setting.

Keywords:  cognitive load theory; competency; medical education; simulation

Mesh:

Year:  2018        PMID: 30404670     DOI: 10.1017/cem.2018.456

Source DB:  PubMed          Journal:  CJEM        ISSN: 1481-8035            Impact factor:   2.410


  1 in total

1.  Use of artificial intelligence as a didactic tool to improve ejection fraction assessment in the emergency department: A randomized controlled pilot study.

Authors:  Ziv Dadon; Adi Butnaru; David Rosenmann; Liat Alper-Suissa; Michael Glikson; Evan A Alpert
Journal:  AEM Educ Train       Date:  2022-04-01
  1 in total

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