Literature DB >> 31768924

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

Juliane Pfarr1, Michael T Ganter2, Donat R Spahn1, Christoph B Noethiger1, David W Tscholl3.   

Abstract

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 < 0.001, mean of differences (MoD): 3 (95% confidence interval [95% CI] 1 to 4), and in the 10-s monitoring task: 6 (IQR 5-8) vs. 4 (IQR 2-7), p = 0.028, MoD: 1 (95% CI 0.2 to 3). Participants rated perceived workload lower under distraction with the avatar in the 3-s scenario: 65 (IQR 40-79) vs. 75 (IQR 51-88), p = 0.007, MoD: 9 (95% CI 3 to 15), and in the 10-s scenario: 68 (IQR 50-80) vs. 75 (IQR 65-86), p = 0.019, MoD: 10 (95% CI 2 to 18). Avatar-based monitoring improved anesthesia providers' perceptive performance under distraction and reduced perceived workload. This technology could help to improve caregivers' situation awareness, especially in high-workload situations.

Entities:  

Keywords:  Computer-assisted diagnosis; Patient monitoring; Situation awareness; Visual patient

Year:  2019        PMID: 31768924     DOI: 10.1007/s10877-019-00429-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  6 in total

1.  Improving Visual-Patient-Avatar Design Prior to Its Clinical Release: A Mixed Qualitative and Quantitative Study.

Authors:  Doreen J Wetli; Lisa Bergauer; Christoph B Nöthiger; Tadzio R Roche; Donat R Spahn; David W Tscholl; Sadiq Said
Journal:  Diagnostics (Basel)       Date:  2022-02-21

2.  Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study.

Authors:  Arsène Ljubenovic; Sadiq Said; Julia Braun; Bastian Grande; Michaela Kolbe; Donat R Spahn; Christoph B Nöthiger; David W Tscholl; Tadzio R Roche
Journal:  JMIR Serious Games       Date:  2022-03-22       Impact factor: 3.364

3.  Improved Task Performance, Low Workload, and User-Centered Design in Medical Diagnostic Equipment Enhance Decision Confidence of Anesthesia Providers: A Meta-Analysis and a Multicenter Online Survey.

Authors:  Alexandra D Budowski; Lisa Bergauer; Clara Castellucci; Julia Braun; Christoph B Nöthiger; Donat R Spahn; David W Tscholl; Tadzio R Roche
Journal:  Diagnostics (Basel)       Date:  2022-07-29

4.  Avatar-based versus conventional vital sign display in a central monitor for monitoring multiple patients: a multicenter computer-based laboratory study.

Authors:  Olivier Garot; Julian Rössler; Juliane Pfarr; Michael T Ganter; Donat R Spahn; Christoph B Nöthiger; David W Tscholl
Journal:  BMC Med Inform Decis Mak       Date:  2020-02-10       Impact factor: 2.796

Review 5.  Situation Awareness-Oriented Patient Monitoring with Visual Patient Technology: A Qualitative Review of the Primary Research.

Authors:  David Werner Tscholl; Julian Rössler; Sadiq Said; Alexander Kaserer; Donat Rudolf Spahn; Christoph Beat Nöthiger
Journal:  Sensors (Basel)       Date:  2020-04-09       Impact factor: 3.576

6.  Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models.

Authors:  Sadiq Said; Malgorzata Gozdzik; Tadzio Raoul Roche; Julia Braun; Julian Rössler; Alexander Kaserer; Donat R Spahn; Christoph B Nöthiger; David Werner Tscholl
Journal:  J Med Internet Res       Date:  2020-09-07       Impact factor: 5.428

  6 in total

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