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.ApplicationThe 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.

Highlights

  • Situation awareness—knowing “what is going on”—is important for safe operation in safety-­ critical domains such as anesthesiology

  • The overall salience effort expectancy value (SEEV) model fit was good with no difference between junior and senior anesthesiologists

  • The SEEV model seems to be suitable as a process situation awareness measure to predict and investigate the perception of changes in the environment

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Summary

Introduction

Situation awareness—knowing “what is going on”—is important for safe operation in safety-­ critical domains such as anesthesiology. During the induction of general anesthesia, the patient’s status can change quickly, and good situation awareness is important for patient safety (Schulz et al, 2013, 2016). Wickens et al (2008) suggested that the SEEV model fit should correspond to situation awareness level 1 (perception or noticing of elements in the environment). We tested this suggestion in the context of anesthesiologists inducing general anesthesia in a simulated patient by correlating the SEEV model fit with situation awareness scores. The distribution of visual attention is important for situation awareness—that is, understanding what is going on—in safety-c­ ritical domains. 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

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