Evidence map›Paper›PMID 28348737›Full record

ArticleSAGE open medicine2016

Performance of a cognitive load inventory during simulated handoffs: Evidence for validity.

John Q Young, Christy K Boscardin, Savannah M van Dijk, Ruqayyah Abdullah, David M Irby, Justin L Sewell, Olle Ten Cate, Patricia S O'Sullivan

Abstract read
In one paragraph

Article in SAGE open medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

John Q YoungHofstra Northwell School of Medicine, Zucker Hillside Hospital, Glen Oaks, NY, USA.
Christy K BoscardinUCSF School of Medicine, University of California-San Francisco, San Francisco, CA, USA.
Savannah M van DijkUtrecht Medical Center, Utrecht, The Netherlands.
Ruqayyah AbdullahHofstra Northwell School of Medicine, Zucker Hillside Hospital, Glen Oaks, NY, USA.
David M IrbyUCSF School of Medicine, University of California-San Francisco, San Francisco, CA, USA.
Justin L SewellUCSF School of Medicine, University of California-San Francisco, San Francisco, CA, USA.
Olle Ten CateUtrecht Medical Center, Utrecht, The Netherlands.
Patricia S O'SullivanUCSF School of Medicine, University of California-San Francisco, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancing patient safety during handoffs remains a public health priority. The application of cognitive load theory offers promise, but is currently limited by the inability to measure cognitive load types.

objectiveTo develop and collect validity evidence for a revised self-report inventory that measures cognitive load types during a handoff.

methodsBased on prior published work, input from experts in cognitive load theory and handoffs, and a think-aloud exercise with residents, a revised Cognitive Load Inventory for Handoffs was developed. The Cognitive Load Inventory for Handoffs has items for intrinsic, extraneous, and germane load. Students who were second- and sixth-year students recruited from a Dutch medical school participated in four simulated handoffs (two simple and two complex cases). At the end of each handoff, study participants completed the Cognitive Load Inventory for Handoffs, Paas' Cognitive Load Scale, and one global rating item for intrinsic load, extraneous load, and germane load, respectively. Factor and correlational analyses were performed to collect evidence for validity.

resultsConfirmatory factor analysis yielded a single factor that combined intrinsic and germane loads. The extraneous load items performed poorly and were removed from the model. The score from the combined intrinsic and germane load items associated, as predicted by cognitive load theory, with a commonly used measure of overall cognitive load (Pearson's r = 0.83, p < 0.001), case complexity (beta = 0.74, p < 0.001), level of experience (beta = -0.96, p < 0.001), and handoff accuracy (r = -0.34, p < 0.001).

conclusionThese results offer encouragement that intrinsic load during handoffs may be measured via a self-report measure. Additional work is required to develop an adequate measure of extraneous load.

Indexed as

Cognitive loadhandoffsmeasurementvalidity

Identifiers

PMID28348737
PMCPMC5354177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.