Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Influence of airway trolley organization on efficiency and team performance : A randomized, crossover simulation study

Sturesson, Louise W. LU ; Persson, Karolina LU orcid ; Olmstead, Richard and Bjurström, Martin F. LU (2023) In Acta Anaesthesiologica Scandinavica 67(1). p.44-56
Abstract

Background: Failed management of unanticipated difficult airway situations contributes to significant anesthesia-related morbidity and mortality. Optimization of design and layout of difficult airway trolleys (DATs) may influence outcomes during airway emergencies. The main objective of the current study was to evaluate whether a difficult airway algorithm-based DAT with integrated cognitive aids improves efficiency and team performance in difficult airway scenarios. Methods: In a crossover design, 16 teams (anesthetist, nurse anesthetist, assistant nurse) completed two high-fidelity simulated unanticipated difficult airway scenarios. Teams used both an algorithm-based DAT and a comparison, standard DAT, in the scenarios and were... (More)

Background: Failed management of unanticipated difficult airway situations contributes to significant anesthesia-related morbidity and mortality. Optimization of design and layout of difficult airway trolleys (DATs) may influence outcomes during airway emergencies. The main objective of the current study was to evaluate whether a difficult airway algorithm-based DAT with integrated cognitive aids improves efficiency and team performance in difficult airway scenarios. Methods: In a crossover design, 16 teams (anesthetist, nurse anesthetist, assistant nurse) completed two high-fidelity simulated unanticipated difficult airway scenarios. Teams used both an algorithm-based DAT and a comparison, standard DAT, in the scenarios and were randomized to order of trolley type. Outcome measures included objective efficiency parameters, team performance assessment and subjective user-ratings. Linear mixed models ANOVA, including DAT type and order of condition as main factors, was utilized for the primary analyses of the team results. Results: Usage of the algorithm-based DAT was associated with fewer departures from the difficult airway algorithm (p =.010), and reduced number of unnecessary drawer openings (p =.002), but no significant differences in time to retrieval of airway devices or time to first effective ventilation, compared to the standard DAT. There were no significant differences in team performance, although participants expressed strong preference for the algorithm-based DAT (all user-rated measures p <.0001). Higher percentage of female members of the team improved adherence to the difficult airway algorithm (p =.043). Conclusions: Algorithm-based DATs with integrated cognitive aids may improve efficiency in difficult airway situations, compared to traditional DATs. These findings have implications for improvement of anesthetic practice.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
anesthesia, difficult airway, equipment, intubation, simulation
in
Acta Anaesthesiologica Scandinavica
volume
67
issue
1
pages
13 pages
publisher
Wiley-Blackwell
external identifiers
  • pmid:36196685
  • scopus:85144595333
ISSN
0001-5172
DOI
10.1111/aas.14155
language
English
LU publication?
yes
id
bd1eb844-7e18-474f-a73e-1cfee6f239a5
date added to LUP
2023-02-03 12:45:43
date last changed
2024-11-01 04:59:41
@article{bd1eb844-7e18-474f-a73e-1cfee6f239a5,
  abstract     = {{<p>Background: Failed management of unanticipated difficult airway situations contributes to significant anesthesia-related morbidity and mortality. Optimization of design and layout of difficult airway trolleys (DATs) may influence outcomes during airway emergencies. The main objective of the current study was to evaluate whether a difficult airway algorithm-based DAT with integrated cognitive aids improves efficiency and team performance in difficult airway scenarios. Methods: In a crossover design, 16 teams (anesthetist, nurse anesthetist, assistant nurse) completed two high-fidelity simulated unanticipated difficult airway scenarios. Teams used both an algorithm-based DAT and a comparison, standard DAT, in the scenarios and were randomized to order of trolley type. Outcome measures included objective efficiency parameters, team performance assessment and subjective user-ratings. Linear mixed models ANOVA, including DAT type and order of condition as main factors, was utilized for the primary analyses of the team results. Results: Usage of the algorithm-based DAT was associated with fewer departures from the difficult airway algorithm (p =.010), and reduced number of unnecessary drawer openings (p =.002), but no significant differences in time to retrieval of airway devices or time to first effective ventilation, compared to the standard DAT. There were no significant differences in team performance, although participants expressed strong preference for the algorithm-based DAT (all user-rated measures p &lt;.0001). Higher percentage of female members of the team improved adherence to the difficult airway algorithm (p =.043). Conclusions: Algorithm-based DATs with integrated cognitive aids may improve efficiency in difficult airway situations, compared to traditional DATs. These findings have implications for improvement of anesthetic practice.</p>}},
  author       = {{Sturesson, Louise W. and Persson, Karolina and Olmstead, Richard and Bjurström, Martin F.}},
  issn         = {{0001-5172}},
  keywords     = {{anesthesia; difficult airway; equipment; intubation; simulation}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{44--56}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Acta Anaesthesiologica Scandinavica}},
  title        = {{Influence of airway trolley organization on efficiency and team performance : A randomized, crossover simulation study}},
  url          = {{http://dx.doi.org/10.1111/aas.14155}},
  doi          = {{10.1111/aas.14155}},
  volume       = {{67}},
  year         = {{2023}},
}