The goal of this study is to analyze the impact of color-coded labeling and cognitive visual aids of a novel airway trolley on the performance of participants in a simulated unexpected difficult airway scenario. All participants will complete the same scenario, randomized to either the novel or the existing airway trolley. The main questions aimed to be answered are: 1. how long does it take to solve the scenario (=establish sufficient oxygenation via emergency front of neck access) with the novel vs the existing airway trolley? 2. how many deviations from the algorithm "unexpected difficult airway" are documented for each trolley (novel vs existing)? 3. are there differences in the provider experience between both trolleys
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
50
Participants are asked to solve a scenario "unexpected difficult airway" using a manikin in accordance with current guidelines. The scenario aims for participants to try 3 different techniques in securing the airway before performing emergency front of neck access.
Department of Anaesthesiology, University Medical Centre of Johannes Gutenberg University
Mainz, Rhineland-Palatine, Germany
Time to emergency front of neck access (eFONA) decision (in s)
time to verbalized decision to perform eFONA defined as time to solving the scenario (in s)
Time frame: time (in seconds) until scenario is solved and decision to perform eFONA is verbalized (maximum time to solve scenario 10 minutes)
Time to decision to prepare eFONA (in sec)
Time until the decision to prepare (but not directly execute) eFONA (in sec)
Time frame: time (in seconds) when decision to prepare eFONA is verbalized (maximum time to solve scenario 10 minutes)
Time to establish successful oxygenation (in seconds)
Time to establish successful oxygenation (defined as successfully conducting eFONA and performing ventilation) in seconds
Time frame: Maximum time to solve scenario: 10 minutes
number of departures from difficult airway algorithm
The number of times during the scenario that the treatment is not concordant with the difficult airway algorithm
Time frame: Through the course of the scenario (maximum time for completion 10 minutes)
Gender differences in the time until eFONA
Gender differences in the time until eFONA is performed
Time frame: Maximum time to solve the scenario: 10 minutes
Gender differences in number of departures from difficult airway algorithm
Gender differences in number of departures from difficult airway algorithm
Time frame: Maximum time to solve the scenario: 10 minutes
subjective work load evaluation
evaluating the work load using NASA task load scale (NASA-TLX) questionnaire (nominal scale from very low to very high)
Time frame: To be filled out after completing the scenario (time given: 3 minutes)
number of unnecessary drawer opening
The number of times during the scenario that drawers are opened without retrieving any equipment
Time frame: Through the course of the scenario (maximum time for completion 10 minutes)
subjective operator experience
Experience of the operator using an ordinal scale (1-7)
Time frame: To be filled out after completing the scenario (time given: 3 minutes)
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