Eye tracking metrics and leader’s behavioral performance during a post-partum hemorrhage high-fidelity simulated scenario

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Abstract

Background: The use of eye tracking in the simulated setting can help improve our understanding of what sources of information clinicians are using as they deliver routine patient care. The aim of this simulation study was to observe the differences, if any, between the eye tracking patterns of leaders who performed best in a simulated postpartum hemorrhage (PPH) high-fidelity scenario, in comparison with those who performed worst. Methods: Forty anesthesia trainees from the University of Catania Medical School were divided into eight teams, to enact four times the same scenario of a patient with postpartum hemorrhage following vaginal delivery. Trainees who were assigned the leader’s role wore the eye tracking glasses during the scenario, and their behavioral skills were evaluated by two observers, who reviewed the video recordings of the scenarios using a standardized checklist. The leader’s eye tracking metrics, extracted from 27 selected areas of interest (AOI), were recorded by a Tobii Pro Glasses 50 Hz wearable wireless eye tracker. Team performance was evaluated using a PPH checklist. After completion of the study, the leaders were divided into two groups, based on the scores they had received (High-Performance Leader group, HPL, and Low-Performance Leader group, LPL). Results: In the HPL group, the duration and number of fixations were greater, and the distribution of gaze was uniformly distributed among the various members of the team as compared with the LPL group (with the exception of the participant who performed the role of the obstetrician). The HPL group also looked both at the patient’s face and established eye contact with their team members more often and for longer (P

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Capogna, E., Capogna, G., Raccis, D., Salvi, F., Velardo, M., & Del Vecchio, A. (2021). Eye tracking metrics and leader’s behavioral performance during a post-partum hemorrhage high-fidelity simulated scenario. Advances in Simulation, 6(1). https://doi.org/10.1186/s41077-021-00156-2

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