A cognitive load theory simulation design to assess and manage deteriorating patients

Journal article

Say, Richard, Visentin, Denis, Betihavas, Vasiliki and Minutillo, Susannah. (2019). A cognitive load theory simulation design to assess and manage deteriorating patients. International Journal of Nursing Education Scholarship. 16(1), pp. 1-9. https://doi.org/10.1515/ijnes-2019-0009
AuthorsSay, Richard, Visentin, Denis, Betihavas, Vasiliki and Minutillo, Susannah
Abstract

Background: Cognitive load theory (CLT) uses an understanding of brain architecture for educational design, with implications for simulation. Since working memory is limited, minimising extraneous cognitive load improves learning of new tasks (intrinsic load) and use of existing knowledge (germane load). This study evaluates the effectiveness of low-fidelity simulation (LFS) utilising CLT principles in the assessment and management of the deteriorating patient (AMDP).

Method: CLT design principles informed the choice of LFS and simulation design. The self-rated ability of 13 undergraduate nurses across seven aspects of AMDP was measured in a pre-post design. Results: Self-rated ability increased from 2.98 (SD = 0.19) to 4.47 (SD = 0.12) (p < 0.001), with improvements across all AMDP aspects.

Conclusion: This study indicates that CLT informed design has benefits for simulation. LFS may be preferred to high fidelity simulation for AMDP teaching and medical simulation for novice learners.

Keywordspatient assessment; simulation; nursing education; learning; selfassessment; self; teaching; vital signs; nursing care; nurses; fidelity; working memory; memory load; brain
Year2019
JournalInternational Journal of Nursing Education Scholarship
Journal citation16 (1), pp. 1-9
PublisherDe Gruyter
ISSN1548-923X
Digital Object Identifier (DOI)https://doi.org/10.1515/ijnes-2019-0009
Scopus EID2-s2.0-85072917577
Research or scholarlyResearch
Page range1-9
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online04 Oct 2019
Publication process dates
Accepted05 Jun 2019
Deposited09 Jul 2021
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