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Instructional design affects the efficacy of simulation-based training in central venous catheterization
Authors:Christopher Craft  David F Feldon  Eric A Brown
Institution:1. Palmetto Learning, LLC, 7001 St Andrews Road, #322, Columbia, SC 29212, USA;2. Center for the Advanced Study of Teaching and Learning in Higher Education, University of Virginia, Charlottesville, VA, USA;3. Palmetto Health – University of South Carolina School of Medicine Simulation Center, School of Medicine, University of South Carolina, Columbia, SC, USA
Abstract:

Background

Simulation-based learning is a common educational tool in health care training and frequently involves instructional designs based on Experiential Learning Theory (ELT). However, little research explores the effectiveness and efficiency of different instructional design methodologies appropriate for simulations. The aim of this study was to compare 2 instructional design models, ELT and Guided Experiential Learning (GEL), to determine which is more effective for training the central venous catheterization procedure.

Methods

Using a quasi-experimental randomized block design, nurse anesthetists completed training under 1 of the 2 instructional design models. Performance was assessed using a checklist of central venous catheterization performance, pass rates, and critical action errors.

Results

Participants in the GEL condition performed significantly better than those in the ELT condition on the overall checklist score after controlling for individual practice time (F1, 29] = 4.021, P = .027, Cohen's d = .71), had higher pass rates (P = .006, Cohen's d = 1.15), and had lower rates of failure due to critical action errors (P = .038, Cohen's d = .81).

Conclusions

The GEL model of instructional design is significantly more effective than ELT for simulation-based learning of the central venous catheterization procedure, yielding large differences in effect size.
Keywords:Simulator  Central venous catheterization  Cognitive task analysis  Instructional design  Training
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