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How anaesthesiologists understand difficult airway guidelines: an interview study
Department of Health and Caring Sciences, University of Gävle, Gävle, Sweden; Department of Public Health and Caring Sciences, Caring Sciences, Uppsala University, Uppsala, Sweden. (Centre for Perioperative Nursing)
Department of Public Health and Caring Sciences, Caring Sciences, Uppsala University, Uppsala, Sweden.ORCID iD: 0000-0002-2867-0490
Örebro University, School of Health Sciences. (Centre for Perioperative Nursing (CPoN))ORCID iD: 0000-0001-5403-4183
Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID iD: 0000-0002-6392-6092
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2017 (English)In: Upsala Journal of Medical Sciences, ISSN 0300-9734, E-ISSN 2000-1967, Vol. 122, no 4, p. 243-248Article in journal (Refereed) Published
Abstract [en]

Background: In the practice of anaesthesia, clinical guidelines that aim to improve the safety of airway procedures have been developed. The aim of this study was to explore how anaesthesiologists understand or conceive of difficult airway management algorithms.

Methods: A qualitative phenomenographic design was chosen to explore anaesthesiologists’ views on airway algorithms. Anaesthesiologists working in three hospitals were included. Individual face-to-face interviews were conducted.

Results: Four different ways of understanding were identified, describing airway algorithms as: (A) a law-like rule for how to act in difficult airway situations; (B) a cognitive aid, an action plan for difficult airway situations; (C) a basis for developing flexible, personal action plans for the difficult airway; and (D) the experts’ consensus, a set of scientifically based guidelines for handling the difficult airway.

Conclusions: The interviewed anaesthesiologists understood difficult airway management guidelines/algorithms very differently.

Place, publisher, year, edition, pages
Oxfordshire, United Kingdom: Taylor & Francis, 2017. Vol. 122, no 4, p. 243-248
Keywords [en]
Airway guidelines, algorithms, qualitative study
National Category
Anesthesiology and Intensive Care Human Computer Interaction
Research subject
Nursing Science
Identifiers
URN: urn:nbn:se:oru:diva-64023DOI: 10.1080/03009734.2017.1406020ISI: 000423294800006PubMedID: 29299973Scopus ID: 2-s2.0-85041236643OAI: oai:DiVA.org:oru-64023DiVA, id: diva2:1172789
Funder
Swedish Heart Lung Foundation
Note

Funding Agencies:

Department of Health and Caring Sciences, University of Gävle

Centre for Research & Development, Uppsala University/Region Gävleborg 

Available from: 2018-01-10 Created: 2018-01-10 Last updated: 2018-09-12Bibliographically approved

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