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Effects of a standardized distraction on caregivers’ perceptive performance with avatar-based and conventional patient monitoring: a multicenter comparative study

Patient monitoring requires constant attention and may be particularly vulnerable to distractions, which frequently occur during perioperative work. In this study, we compared anesthesia providers’ perceptive performance and perceived workload under distraction for conventional and avatar-based moni...

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Published in:Journal of clinical monitoring and computing 2020-12, Vol.34 (6), p.1369-1378
Main Authors: Pfarr, Juliane, Ganter, Michael T., Spahn, Donat R., Noethiger, Christoph B., Tscholl, David W.
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creator Pfarr, Juliane
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description Patient monitoring requires constant attention and may be particularly vulnerable to distractions, which frequently occur during perioperative work. In this study, we compared anesthesia providers’ perceptive performance and perceived workload under distraction for conventional and avatar-based monitoring, a situation awareness-based technology that displays patient status as an animated patient model. In this prospective, multicenter study with a within-subject design, 38 participants evaluated scenarios of 3- and 10-s durations using conventional and avatar-based monitoring, under standardized distraction in the form of a simple calculation task. We quantified perceptual performance as the number of vital signs correctly remembered out of the total of 11 vital signs shown. We quantified perceived workload using the National Aeronautics and Space Administration Task Load Index score. Anesthesia providers remembered more vital signs under distraction using the avatar monitoring technology in the 3-s scenario: 6 (interquartile range [IQR] 5–7) vs. 3 (IQR 2–4), p 
doi_str_mv 10.1007/s10877-019-00429-2
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subjects Anesthesiology
Critical Care Medicine
Health Sciences
Intensive
Medicine
Medicine & Public Health
Original Research
Statistics for Life Sciences
title Effects of a standardized distraction on caregivers’ perceptive performance with avatar-based and conventional patient monitoring: a multicenter comparative study
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