Evidence map›Paper›PMID 33596693›Full record

ArticleHuman factors2022

The Validity of the SEEV Model as a Process Measure of Situation Awareness: The Example of a Simulated Endotracheal Intubation.

Tobias Grundgeiger, Anna Hohm, Annabell Michalek, Timo Egenolf, Christian Markus, Oliver Happel

Abstract read
In one paragraph

Article in Human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tobias Grundgeiger9190 Institute Human-Computer-Media, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0002-3471-2343
Anna Hohm9190 Institute Human-Computer-Media, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Annabell Michalek9190 Institute Human-Computer-Media, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Timo Egenolf27207 University Hospital Würzburg, Würzburg, Germany.
Christian Markus27207 University Hospital Würzburg, Würzburg, Germany.
Oliver Happel27207 University Hospital Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the context of anesthesiology, we investigated whether the salience effort expectancy value (SEEV) model fit is associated with situation awareness and perception scores.

backgroundThe distribution of visual attention is important for situation awareness-that is, understanding what is going on-in safety-critical domains. Although the SEEV model has been suggested as a process situation awareness measure, the validity of the model as a predictor of situation awareness has not been tested.

methodIn a medical simulation, 31 senior and 30 junior anesthesiologists wore a mobile eye tracker and induced general anesthesia into a simulated patient. When inserting a breathing tube into the mannequin's trachea (endotracheal intubation), the scenario included several clinically relevant events for situation awareness and general events in the environment. Both were assessed using direct awareness measures.

resultsThe overall SEEV model fit was good with no difference between junior and senior anesthesiologists. Overall, the situation awareness scores were low. As expected, the SEEV model fits showed significant positive correlations with situation awareness level 1 scores.

conclusionThe SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment (situation awareness level 1). The situation awareness scores indicated that anesthesiologists seem not to perceive the environment well during endotracheal intubation. APPLICATION: The SEEV model fit can be used to capture and assess situation awareness level 1. During endotracheal intubation, anesthesiologists should be supported by technology or staff to notice changes in the environment.

Indexed as

AnesthesiologyAwarenessAnesthesiologistsHumansIntubation, IntratrachealProcess Assessment, Health Careeye trackinglaryngoscopySEEV modelsituation awareness measurevisual attention

Identifiers

PMID33596693
PMCPMC9574898

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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.