Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting

Background. Anesthesia providers may need to interpret the output of vital sign monitors based on auditory cues, in the context of multitasking in the operating room. This study aims to evaluate the ability of different anesthesia providers to estimate heart rate and oxygen saturation in a simulatio...

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Main Authors: Efrain Riveros Perez, Enoe Jimenez, Camila Albo, Yashi Sanghvi, Nianlan Yang, Alexander Rocuts
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Anesthesiology Research and Practice
Online Access:http://dx.doi.org/10.1155/2019/5914305
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author Efrain Riveros Perez
Enoe Jimenez
Camila Albo
Yashi Sanghvi
Nianlan Yang
Alexander Rocuts
author_facet Efrain Riveros Perez
Enoe Jimenez
Camila Albo
Yashi Sanghvi
Nianlan Yang
Alexander Rocuts
author_sort Efrain Riveros Perez
collection DOAJ
description Background. Anesthesia providers may need to interpret the output of vital sign monitors based on auditory cues, in the context of multitasking in the operating room. This study aims to evaluate the ability of different anesthesia providers to estimate heart rate and oxygen saturation in a simulation setting. Methods. Sixty anesthesia providers (residents, nurse anesthetics, and anesthesiologists) were studied. Four scenarios were arranged in a simulation context. Two baseline scenarios with and without waveform visual aid, and two scenarios with variation of heart rate and/or oxygen saturation were used to assess the accuracy of the estimation made by the participants. Results. When the accurate threshold for the heart rate was set at less than 5 beats per minute, the providers only had a correct estimation at two baseline settings with visual aids (p=0.22 and 0.2237). Anesthesia providers tend to underestimate the heart rate when it increases. Providers failed to accurately estimate oxygen saturation with or without visual aid (p=0.0276 and 0.0105, respectively). Change in recording settings significantly affected the accuracy of heart rate estimation (p<0.0001), and different experience levels affected the estimation accuracy (p=0.041). Conclusion. The ability of anesthesia providers with different levels of experience to assess baseline and variations of heart rate and oxygen saturation is unsatisfactory, especially when oxygen desaturation and bradycardia coexist, and when the subject has less years of experience.
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spelling doaj-art-5513e301d4d04213953fb5779b890b7f2025-02-03T05:48:25ZengWileyAnesthesiology Research and Practice1687-69621687-69702019-01-01201910.1155/2019/59143055914305Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation SettingEfrain Riveros Perez0Enoe Jimenez1Camila Albo2Yashi Sanghvi3Nianlan Yang4Alexander Rocuts5Assistant Professor, Department of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, 1120 15th Street, Augusta, GA, USAResearch Assistant, Department of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USAMedical Student, Medical College of Georgia at Augusta University, Augusta, GA, USAUndergraduate Student, Biomedical Engineering, Cornell University, Ithaca, NY, USAPost-doctoral fellow, Department of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USAAssistant Professor, Department of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, 1120 15th Street, Augusta, GA, USABackground. Anesthesia providers may need to interpret the output of vital sign monitors based on auditory cues, in the context of multitasking in the operating room. This study aims to evaluate the ability of different anesthesia providers to estimate heart rate and oxygen saturation in a simulation setting. Methods. Sixty anesthesia providers (residents, nurse anesthetics, and anesthesiologists) were studied. Four scenarios were arranged in a simulation context. Two baseline scenarios with and without waveform visual aid, and two scenarios with variation of heart rate and/or oxygen saturation were used to assess the accuracy of the estimation made by the participants. Results. When the accurate threshold for the heart rate was set at less than 5 beats per minute, the providers only had a correct estimation at two baseline settings with visual aids (p=0.22 and 0.2237). Anesthesia providers tend to underestimate the heart rate when it increases. Providers failed to accurately estimate oxygen saturation with or without visual aid (p=0.0276 and 0.0105, respectively). Change in recording settings significantly affected the accuracy of heart rate estimation (p<0.0001), and different experience levels affected the estimation accuracy (p=0.041). Conclusion. The ability of anesthesia providers with different levels of experience to assess baseline and variations of heart rate and oxygen saturation is unsatisfactory, especially when oxygen desaturation and bradycardia coexist, and when the subject has less years of experience.http://dx.doi.org/10.1155/2019/5914305
spellingShingle Efrain Riveros Perez
Enoe Jimenez
Camila Albo
Yashi Sanghvi
Nianlan Yang
Alexander Rocuts
Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
Anesthesiology Research and Practice
title Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
title_full Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
title_fullStr Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
title_full_unstemmed Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
title_short Are Anesthesiology Providers Good Guessers? Heart Rate and Oxygen Saturation Estimation in a Simulation Setting
title_sort are anesthesiology providers good guessers heart rate and oxygen saturation estimation in a simulation setting
url http://dx.doi.org/10.1155/2019/5914305
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