Is there a benefit for anesthesiologists of adding difficult airway scenarios for learning fiberoptic intubation skills using virtual reality training? A randomized controlled study
Fiberoptic intubation for a difficult airway requires significant experience. Traditionally only normal airways were available for high fidelity bronchoscopy simulators. It is not clear if training on difficult airways offers an advantage over training on normal airways. This study investigates the...
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creator | Cailleau, Loic Geeraerts, Thomas Minville, Vincent Fourcade, Olivier Fernandez, Thomas Bazin, Jean Etienne Baxter, Linden Athanassoglou, Vassilis Jefferson, Henry Sud, Anika Davies, Tim Mendonca, Cyprian Parotto, Matteo Kurrek, Matt |
description | Fiberoptic intubation for a difficult airway requires significant experience. Traditionally only normal airways were available for high fidelity bronchoscopy simulators. It is not clear if training on difficult airways offers an advantage over training on normal airways. This study investigates the added value of difficult airway scenarios during virtual reality fiberoptic intubation training. A prospective multicentric randomized study was conducted 2019 to 2020, among 86 inexperienced anesthesia residents, fellows and staff. Two groups were compared: Group N (control, n = 43) first trained on a normal airway and Group D (n = 43) first trained on a normal, followed by three difficult airways. All were then tested by comparing their ORSIM® scores on 5 scenarios (1 normal and 4 difficult airways). The final evaluation ORSIM® score for the normal airway testing scenario was significantly higher for group N than group D: median score 76% (IQR 56.5-90) versus 58% (IQR 51.5-69, p = 0.0039), but there was no difference in ORSIM® scores for the difficult intubation testing scenarios. A single exposure to each of 3 different difficult airway scenarios did not lead to better fiberoptic intubation skills on previously unseen difficult airways, when compared to multiple exposures to a normal airway scenario. This finding may be due to the learning curve of approximately 5-10 exposures to a specific airway scenario required to reach proficiency. |
doi_str_mv | 10.1371/journal.pone.0281016 |
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A randomized controlled study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Cailleau, Loic ; Geeraerts, Thomas ; Minville, Vincent ; Fourcade, Olivier ; Fernandez, Thomas ; Bazin, Jean Etienne ; Baxter, Linden ; Athanassoglou, Vassilis ; Jefferson, Henry ; Sud, Anika ; Davies, Tim ; Mendonca, Cyprian ; Parotto, Matteo ; Kurrek, Matt</creator><creatorcontrib>Cailleau, Loic ; Geeraerts, Thomas ; Minville, Vincent ; Fourcade, Olivier ; Fernandez, Thomas ; Bazin, Jean Etienne ; Baxter, Linden ; Athanassoglou, Vassilis ; Jefferson, Henry ; Sud, Anika ; Davies, Tim ; Mendonca, Cyprian ; Parotto, Matteo ; Kurrek, Matt</creatorcontrib><description>Fiberoptic intubation for a difficult airway requires significant experience. Traditionally only normal airways were available for high fidelity bronchoscopy simulators. It is not clear if training on difficult airways offers an advantage over training on normal airways. This study investigates the added value of difficult airway scenarios during virtual reality fiberoptic intubation training. A prospective multicentric randomized study was conducted 2019 to 2020, among 86 inexperienced anesthesia residents, fellows and staff. Two groups were compared: Group N (control, n = 43) first trained on a normal airway and Group D (n = 43) first trained on a normal, followed by three difficult airways. All were then tested by comparing their ORSIM® scores on 5 scenarios (1 normal and 4 difficult airways). The final evaluation ORSIM® score for the normal airway testing scenario was significantly higher for group N than group D: median score 76% (IQR 56.5-90) versus 58% (IQR 51.5-69, p = 0.0039), but there was no difference in ORSIM® scores for the difficult intubation testing scenarios. A single exposure to each of 3 different difficult airway scenarios did not lead to better fiberoptic intubation skills on previously unseen difficult airways, when compared to multiple exposures to a normal airway scenario. This finding may be due to the learning curve of approximately 5-10 exposures to a specific airway scenario required to reach proficiency.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0281016</identifier><identifier>PMID: 36706107</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Airway management ; Anesthesia ; Anesthesiologists ; Biology and Life Sciences ; Bronchoscopy ; Comparative analysis ; Computer & video games ; Computer and Information Sciences ; Computer applications ; Consent ; Cysts ; Engineering and Technology ; Equipment and supplies ; Exposure ; Fiber optics ; Humans ; Intubation ; Intubation, Intratracheal ; Learning Curve ; Learning curves ; Medicine and Health Sciences ; Methods ; Oxygen saturation ; Physical Sciences ; Practice ; Prospective Studies ; Respiratory tract ; Simulation ; Simulator fidelity ; Simulators ; Skills ; Social Sciences ; Training ; Virtual Reality</subject><ispartof>PloS one, 2023-01, Vol.18 (1), p.e0281016-e0281016</ispartof><rights>Copyright: © 2023 Cailleau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Cailleau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Cailleau et al 2023 Cailleau et al</rights><rights>2023 Cailleau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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subjects | Airway management Anesthesia Anesthesiologists Biology and Life Sciences Bronchoscopy Comparative analysis Computer & video games Computer and Information Sciences Computer applications Consent Cysts Engineering and Technology Equipment and supplies Exposure Fiber optics Humans Intubation Intubation, Intratracheal Learning Curve Learning curves Medicine and Health Sciences Methods Oxygen saturation Physical Sciences Practice Prospective Studies Respiratory tract Simulation Simulator fidelity Simulators Skills Social Sciences Training Virtual Reality |
title | Is there a benefit for anesthesiologists of adding difficult airway scenarios for learning fiberoptic intubation skills using virtual reality training? A randomized controlled study |
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