User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

BackgroundPatient safety during anesthesia is crucially dependent on the monitoring of vital signs. However, the values obtained must also be perceived and correctly classified by the attending care providers. To facilitate these processes, we developed Visual-Patient-avatar,...

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Main Authors: Samira Akbas, Sadiq Said, Tadzio Raoul Roche, Christoph B Nöthiger, Donat R Spahn, David W Tscholl, Lisa Bergauer
Format: Article
Language:English
Published: JMIR Publications 2022-03-01
Series:JMIR Human Factors
Online Access:https://humanfactors.jmir.org/2022/1/e34677
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author Samira Akbas
Sadiq Said
Tadzio Raoul Roche
Christoph B Nöthiger
Donat R Spahn
David W Tscholl
Lisa Bergauer
author_facet Samira Akbas
Sadiq Said
Tadzio Raoul Roche
Christoph B Nöthiger
Donat R Spahn
David W Tscholl
Lisa Bergauer
author_sort Samira Akbas
collection DOAJ
description BackgroundPatient safety during anesthesia is crucially dependent on the monitoring of vital signs. However, the values obtained must also be perceived and correctly classified by the attending care providers. To facilitate these processes, we developed Visual-Patient-avatar, an animated virtual model of the monitored patient, which innovatively presents numerical and waveform data following user-centered design principles. After a high-fidelity simulation study, we analyzed the participants’ perceptions of 3 different monitor modalities, including this newly introduced technique. ObjectiveThe aim of this study was to collect and evaluate participants’ opinions and experiences regarding 3 different monitor modalities, which are Visual-Patient-avatar, Split Screen (avatar and Conventional monitor alongside each other), and Conventional monitor after using them during simulated critical anesthetic events. MethodsThis study was a researcher-initiated, single-center, semiquantitative study. We asked 92 care providers right after finishing 3 simulated emergency scenarios about their positive and negative opinions concerning the different monitor modalities. We processed the field notes obtained and derived the main categories and corresponding subthemes following qualitative research methods. ResultsWe gained a total of 307 statements. Through a context-based analysis, we identified the 3 main categories of “Visual-Patient-avatar,” “Split Screen,” and “Conventional monitor” and divided them into 11 positive and negative subthemes. We achieved substantial interrater reliability in assigning the statements to 1 of the topics. Most of the statements concerned the design and usability features of the avatar or the Split Screen mode. ConclusionsThis study semiquantitatively reviewed the clinical applicability of the Visual-Patient-avatar technique in a high-fidelity simulation study and revealed the strengths and limitations of the avatar only and Split Screen modality. In addition to valuable suggestions for improving the design, the requirement for training prior to clinical implementation was emphasized. The responses to the Split Screen suggest that this symbiotic modality generates better situation awareness in combination with numerical data and accurate curves. As a subsequent development step, a real-life introduction study is planned, where we will test the avatar in Split Screen mode under actual clinical conditions.
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spelling doaj.art-90636fe80a33457d9d0902f0a55dfc8e2023-08-28T21:06:34ZengJMIR PublicationsJMIR Human Factors2292-94952022-03-0191e3467710.2196/34677User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative AnalysisSamira Akbashttps://orcid.org/0000-0001-7692-4718Sadiq Saidhttps://orcid.org/0000-0003-2037-4766Tadzio Raoul Rochehttps://orcid.org/0000-0002-1072-5748Christoph B Nöthigerhttps://orcid.org/0000-0002-0336-1421Donat R Spahnhttps://orcid.org/0000-0002-4782-183XDavid W Tschollhttps://orcid.org/0000-0002-3677-3705Lisa Bergauerhttps://orcid.org/0000-0001-9615-6357 BackgroundPatient safety during anesthesia is crucially dependent on the monitoring of vital signs. However, the values obtained must also be perceived and correctly classified by the attending care providers. To facilitate these processes, we developed Visual-Patient-avatar, an animated virtual model of the monitored patient, which innovatively presents numerical and waveform data following user-centered design principles. After a high-fidelity simulation study, we analyzed the participants’ perceptions of 3 different monitor modalities, including this newly introduced technique. ObjectiveThe aim of this study was to collect and evaluate participants’ opinions and experiences regarding 3 different monitor modalities, which are Visual-Patient-avatar, Split Screen (avatar and Conventional monitor alongside each other), and Conventional monitor after using them during simulated critical anesthetic events. MethodsThis study was a researcher-initiated, single-center, semiquantitative study. We asked 92 care providers right after finishing 3 simulated emergency scenarios about their positive and negative opinions concerning the different monitor modalities. We processed the field notes obtained and derived the main categories and corresponding subthemes following qualitative research methods. ResultsWe gained a total of 307 statements. Through a context-based analysis, we identified the 3 main categories of “Visual-Patient-avatar,” “Split Screen,” and “Conventional monitor” and divided them into 11 positive and negative subthemes. We achieved substantial interrater reliability in assigning the statements to 1 of the topics. Most of the statements concerned the design and usability features of the avatar or the Split Screen mode. ConclusionsThis study semiquantitatively reviewed the clinical applicability of the Visual-Patient-avatar technique in a high-fidelity simulation study and revealed the strengths and limitations of the avatar only and Split Screen modality. In addition to valuable suggestions for improving the design, the requirement for training prior to clinical implementation was emphasized. The responses to the Split Screen suggest that this symbiotic modality generates better situation awareness in combination with numerical data and accurate curves. As a subsequent development step, a real-life introduction study is planned, where we will test the avatar in Split Screen mode under actual clinical conditions.https://humanfactors.jmir.org/2022/1/e34677
spellingShingle Samira Akbas
Sadiq Said
Tadzio Raoul Roche
Christoph B Nöthiger
Donat R Spahn
David W Tscholl
Lisa Bergauer
User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
JMIR Human Factors
title User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
title_full User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
title_fullStr User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
title_full_unstemmed User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
title_short User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis
title_sort user perceptions of different vital signs monitor modalities during high fidelity simulation semiquantitative analysis
url https://humanfactors.jmir.org/2022/1/e34677
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