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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2023-01, Vol.18 (1), p.e0281016-e0281016
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0281016
container_issue 1
container_start_page e0281016
container_title PloS one
container_volume 18
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
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2770257715</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A734887747</galeid><doaj_id>oai_doaj_org_article_e90ee88a6d3749b986c6939c9c7eb0f5</doaj_id><sourcerecordid>A734887747</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-76ce846aed71adba590feef17f57baff2552b357b5cf62104dee0582a5735e813</originalsourceid><addsrcrecordid>eNqNk9tuEzEQhlcIREvhDRBYQkJwkWCvs7b3BlRVHCJVqsTp1vKux4mLY6e2txDei_fD26RVg3qB9mJH4-8fj-dQVU8JnhLKyZvzMESv3HQdPExxLQgm7F51SFpaT1iN6f1b9kH1KKVzjBsqGHtYHVDGMSOYH1Z_5gnlJURACnXgwdiMTIhIeUjFn2xwYWFTTigYpLS2foG0Ncb2g8tI2fhTbVDqwatoQ7qSOlDRj5yxHcSwzrZH1uehU9kGj9IP61xCQxqRSxvzoByKoJzNG5SjsqP2HTpGUXkdVvY3aNQHn2NwrpgpD3rzuHpglEvwZPc_qr59eP_15NPk9Ozj_OT4dNKzts4TznoQM6ZAc6J0p5oWGwBDuGl4p4ypm6buaLGb3rCa4JkGwI2oVcNpA4LQo-r5Nu7ahSR3FU-y5hzXDeekKcR8S-igzuU62pWKGxmUlVeOEBdSxVIBBxJaDCCEYpryWdu1gpUsadu3PYcOmzHW291tQ7cCXYpayuH2gu6feLuUi3ApWyHqlo3pvtoFiOFiKA2UK1t641zpZhi2eRMiKKEFffEPevfrdtRClQdYb0K5tx-DymNOZ0JwPuOFmt5BlU_DypbWlaEq_j3B6z3B2F74lRdqSEnOv3z-f_bs-z778ha7LDOVlym4YZy7tA_OtmAfQ0oRzE2RCZbjdl1XQ47bJXfbVWTPbjfoRnS9TvQvjnklRw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2770257715</pqid></control><display><type>article</type><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</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 &amp; 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. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-76ce846aed71adba590feef17f57baff2552b357b5cf62104dee0582a5735e813</citedby><cites>FETCH-LOGICAL-c692t-76ce846aed71adba590feef17f57baff2552b357b5cf62104dee0582a5735e813</cites><orcidid>0000-0002-0101-8208 ; 0000-0003-0819-0171</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882961/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882961/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36706107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cailleau, Loic</creatorcontrib><creatorcontrib>Geeraerts, Thomas</creatorcontrib><creatorcontrib>Minville, Vincent</creatorcontrib><creatorcontrib>Fourcade, Olivier</creatorcontrib><creatorcontrib>Fernandez, Thomas</creatorcontrib><creatorcontrib>Bazin, Jean Etienne</creatorcontrib><creatorcontrib>Baxter, Linden</creatorcontrib><creatorcontrib>Athanassoglou, Vassilis</creatorcontrib><creatorcontrib>Jefferson, Henry</creatorcontrib><creatorcontrib>Sud, Anika</creatorcontrib><creatorcontrib>Davies, Tim</creatorcontrib><creatorcontrib>Mendonca, Cyprian</creatorcontrib><creatorcontrib>Parotto, Matteo</creatorcontrib><creatorcontrib>Kurrek, Matt</creatorcontrib><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</title><title>PloS one</title><addtitle>PLoS One</addtitle><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><subject>Airway management</subject><subject>Anesthesia</subject><subject>Anesthesiologists</subject><subject>Biology and Life Sciences</subject><subject>Bronchoscopy</subject><subject>Comparative analysis</subject><subject>Computer &amp; video games</subject><subject>Computer and Information Sciences</subject><subject>Computer applications</subject><subject>Consent</subject><subject>Cysts</subject><subject>Engineering and Technology</subject><subject>Equipment and supplies</subject><subject>Exposure</subject><subject>Fiber optics</subject><subject>Humans</subject><subject>Intubation</subject><subject>Intubation, Intratracheal</subject><subject>Learning Curve</subject><subject>Learning curves</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Oxygen saturation</subject><subject>Physical Sciences</subject><subject>Practice</subject><subject>Prospective Studies</subject><subject>Respiratory tract</subject><subject>Simulation</subject><subject>Simulator fidelity</subject><subject>Simulators</subject><subject>Skills</subject><subject>Social Sciences</subject><subject>Training</subject><subject>Virtual Reality</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tuEzEQhlcIREvhDRBYQkJwkWCvs7b3BlRVHCJVqsTp1vKux4mLY6e2txDei_fD26RVg3qB9mJH4-8fj-dQVU8JnhLKyZvzMESv3HQdPExxLQgm7F51SFpaT1iN6f1b9kH1KKVzjBsqGHtYHVDGMSOYH1Z_5gnlJURACnXgwdiMTIhIeUjFn2xwYWFTTigYpLS2foG0Ncb2g8tI2fhTbVDqwatoQ7qSOlDRj5yxHcSwzrZH1uehU9kGj9IP61xCQxqRSxvzoByKoJzNG5SjsqP2HTpGUXkdVvY3aNQHn2NwrpgpD3rzuHpglEvwZPc_qr59eP_15NPk9Ozj_OT4dNKzts4TznoQM6ZAc6J0p5oWGwBDuGl4p4ypm6buaLGb3rCa4JkGwI2oVcNpA4LQo-r5Nu7ahSR3FU-y5hzXDeekKcR8S-igzuU62pWKGxmUlVeOEBdSxVIBBxJaDCCEYpryWdu1gpUsadu3PYcOmzHW291tQ7cCXYpayuH2gu6feLuUi3ApWyHqlo3pvtoFiOFiKA2UK1t641zpZhi2eRMiKKEFffEPevfrdtRClQdYb0K5tx-DymNOZ0JwPuOFmt5BlU_DypbWlaEq_j3B6z3B2F74lRdqSEnOv3z-f_bs-z778ha7LDOVlym4YZy7tA_OtmAfQ0oRzE2RCZbjdl1XQ47bJXfbVWTPbjfoRnS9TvQvjnklRw</recordid><startdate>20230127</startdate><enddate>20230127</enddate><creator>Cailleau, Loic</creator><creator>Geeraerts, Thomas</creator><creator>Minville, Vincent</creator><creator>Fourcade, Olivier</creator><creator>Fernandez, Thomas</creator><creator>Bazin, Jean Etienne</creator><creator>Baxter, Linden</creator><creator>Athanassoglou, Vassilis</creator><creator>Jefferson, Henry</creator><creator>Sud, Anika</creator><creator>Davies, Tim</creator><creator>Mendonca, Cyprian</creator><creator>Parotto, Matteo</creator><creator>Kurrek, Matt</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0101-8208</orcidid><orcidid>https://orcid.org/0000-0003-0819-0171</orcidid></search><sort><creationdate>20230127</creationdate><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</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-76ce846aed71adba590feef17f57baff2552b357b5cf62104dee0582a5735e813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Airway management</topic><topic>Anesthesia</topic><topic>Anesthesiologists</topic><topic>Biology and Life Sciences</topic><topic>Bronchoscopy</topic><topic>Comparative analysis</topic><topic>Computer &amp; video games</topic><topic>Computer and Information Sciences</topic><topic>Computer applications</topic><topic>Consent</topic><topic>Cysts</topic><topic>Engineering and Technology</topic><topic>Equipment and supplies</topic><topic>Exposure</topic><topic>Fiber optics</topic><topic>Humans</topic><topic>Intubation</topic><topic>Intubation, Intratracheal</topic><topic>Learning Curve</topic><topic>Learning curves</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Oxygen saturation</topic><topic>Physical Sciences</topic><topic>Practice</topic><topic>Prospective Studies</topic><topic>Respiratory tract</topic><topic>Simulation</topic><topic>Simulator fidelity</topic><topic>Simulators</topic><topic>Skills</topic><topic>Social Sciences</topic><topic>Training</topic><topic>Virtual Reality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cailleau, Loic</creatorcontrib><creatorcontrib>Geeraerts, Thomas</creatorcontrib><creatorcontrib>Minville, Vincent</creatorcontrib><creatorcontrib>Fourcade, Olivier</creatorcontrib><creatorcontrib>Fernandez, Thomas</creatorcontrib><creatorcontrib>Bazin, Jean Etienne</creatorcontrib><creatorcontrib>Baxter, Linden</creatorcontrib><creatorcontrib>Athanassoglou, Vassilis</creatorcontrib><creatorcontrib>Jefferson, Henry</creatorcontrib><creatorcontrib>Sud, Anika</creatorcontrib><creatorcontrib>Davies, Tim</creatorcontrib><creatorcontrib>Mendonca, Cyprian</creatorcontrib><creatorcontrib>Parotto, Matteo</creatorcontrib><creatorcontrib>Kurrek, Matt</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cailleau, Loic</au><au>Geeraerts, Thomas</au><au>Minville, Vincent</au><au>Fourcade, Olivier</au><au>Fernandez, Thomas</au><au>Bazin, Jean Etienne</au><au>Baxter, Linden</au><au>Athanassoglou, Vassilis</au><au>Jefferson, Henry</au><au>Sud, Anika</au><au>Davies, Tim</au><au>Mendonca, Cyprian</au><au>Parotto, Matteo</au><au>Kurrek, Matt</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is there a benefit for anesthesiologists of adding difficult airway scenarios for learning fiberoptic intubation skills using virtual reality training? A randomized controlled study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-01-27</date><risdate>2023</risdate><volume>18</volume><issue>1</issue><spage>e0281016</spage><epage>e0281016</epage><pages>e0281016-e0281016</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36706107</pmid><doi>10.1371/journal.pone.0281016</doi><tpages>e0281016</tpages><orcidid>https://orcid.org/0000-0002-0101-8208</orcidid><orcidid>https://orcid.org/0000-0003-0819-0171</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2023-01, Vol.18 (1), p.e0281016-e0281016
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2770257715
source MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T16%3A25%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Is%20there%20a%20benefit%20for%20anesthesiologists%20of%20adding%20difficult%20airway%20scenarios%20for%20learning%20fiberoptic%20intubation%20skills%20using%20virtual%20reality%20training?%20A%20randomized%20controlled%20study&rft.jtitle=PloS%20one&rft.au=Cailleau,%20Loic&rft.date=2023-01-27&rft.volume=18&rft.issue=1&rft.spage=e0281016&rft.epage=e0281016&rft.pages=e0281016-e0281016&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0281016&rft_dat=%3Cgale_plos_%3EA734887747%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2770257715&rft_id=info:pmid/36706107&rft_galeid=A734887747&rft_doaj_id=oai_doaj_org_article_e90ee88a6d3749b986c6939c9c7eb0f5&rfr_iscdi=true