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dc.contributor.authorSollid, Stephen J. M.en_US
dc.contributor.authorLossius, Hans Mortenen_US
dc.contributor.authorNakstad, Anders R.en_US
dc.contributor.authorAven, Terjeen_US
dc.contributor.authorSøreide, Eldaren_US
dc.date.accessioned2011-01-04T14:20:43Z
dc.date.available2011-01-04T14:20:43Z
dc.date.issued2010-04-21eng
dc.PublishedScandinavian Journal of Trauma, Resuscitation and Emergency Medicine 18:22en
dc.identifier.issn1757-7241
dc.identifier.urihttps://hdl.handle.net/1956/4369
dc.description.abstractIntroduction: Endotracheal intubation (ETI) has been considered an essential part of pre-hospital advanced life support. Pre-hospital ETI, however, is a complex intervention also for airway specialist like anaesthesiologists working as pre-hospital emergency physicians. We therefore wanted to investigate the quality of pre-hospital airway management by anaesthesiologists in severely traumatised patients and identify possible areas for improvement. Method: We performed a risk assessment according to the predictive Bayesian approach, in a typical anaesthesiologist-manned Norwegian helicopter emergency medical service (HEMS). The main focus of the risk assessment was the event where a patient arrives in the emergency department without ETI despite a pre-hospital indication for it. Results: In the risk assessment, we assigned a high probability (29%) for the event assessed, that a patient arrives without ETI despite a pre-hospital indication. However, several uncertainty factors in the risk assessment were identified related to data quality, indications for use of ETI, patient outcome and need for special training of ETI providers. Conclusion: Our risk assessment indicated a high probability for trauma patients with an indication for pre-hospital ETI not receiving it in the studied HEMS. The uncertainty factors identified in the assessment should be further investigated to better understand the problem assessed and consequences for the patients. Better quality of pre-hospital airway management data could contribute to a reduction of these uncertainties.en_US
dc.language.isoengeng
dc.publisherBioMed Centraleng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.0eng
dc.titleRisk assessment of pre-hospital trauma airway management by anaesthesiologists using the predictive Bayesian approachen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2010 Sollid et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.holderSollid et al
dc.identifier.doihttps://doi.org/10.1186/1757-7241-18-22
dc.identifier.cristin795898
dc.subject.nsiVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Anestesiologi: 765nob


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