Evidence map›Paper›PMID 26759306›Full record

ArticlePerspectives on medical education2016

Measuring cognitive load: mixed results from a handover simulation for medical students.

John Q Young, David M Irby, Maria-Louise Barilla-LaBarca, Olle Ten Cate, Patricia S O'Sullivan

Abstract read
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Article in Perspectives on medical education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Cognitive load theory: Practical implications and an important challenge.Journal of Taibah University Medical Sciences · 2017
    Article
  7. Review
  8. Review
  9. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

John Q YoungDepartment of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Zucker Hillside Hospital, Glen Oaks, NY, USA. Jyoung9@nshs.edu.
David M IrbyDepartment of Medicine, UCSF School of Medicine, San Francisco, USA.
Maria-Louise Barilla-LaBarcaDepartment of Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, USA.
Olle Ten CateCenter for Research & Development of Education, University Medical Center Utrecht, Utrecht, The Netherlands.
Patricia S O'SullivanResearch and Development in Medical Education, UCSF School of Medicine, San Francisco, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe application of cognitive load theory to workplace-based activities such as patient handovers is hindered by the absence of a measure of the different load types. This exploratory study tests a method for measuring cognitive load during handovers.

methodsThe authors developed the Cognitive Load Inventory for Handoffs (CLI4H) with items for intrinsic, extraneous, and germane load. Medical students completed the measure after participating in a simulated handover. Exploratory factor and correlation analyses were performed to collect evidence for validity.

resultsResults yielded a two-factor solution for intrinsic and germane load that explained 50 % of the variance. The extraneous load items performed poorly and were removed from the model. The score for intrinsic load correlated with the Paas Cognitive Load scale (r = 0.31, p = 0.004) and was lower for students with more prior handover training (p = 0.036). Intrinsic load did not, however, correlate with performance. Germane load did not correlate with the Paas Cognitive Load scale but did correlate as expected with performance (r = 0.30, p = 0.005) and was lower for those students with more prior handover training (p = 0.03).

conclusionsThe CLI4H yielded mixed results with some evidence for validity of the score from the intrinsic load items. The extraneous load items performed poorly and the use of only a single item for germane load limits conclusions. The instrument requires further development and testing. Study results and limitations provide guidance to future efforts to measure cognitive load during workplace-based activities, such as handovers.

Indexed as

Cognitive LoadCognitive Load TheoryHandoverMeasurementValidity

Identifiers

PMID26759306
PMCPMC4754212

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