Airway Morbidity, Human Factors, Intubation; Difficult or Failed, Team Efficacy
Conditions
Keywords
Difficult Airway Trolley, Human factors, Team performance, visual aids
Brief summary
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
Interventions
OTHERScenario unexpected difficult airway
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.
Sponsors
Johannes Gutenberg University Mainz
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Intervention model description
randomized, controlled, single-blinded simulation study
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* anaesthesiological 2nd and 3rd year residents at University Medical Centre Mainz * anaesthesiological attendings at University Medical Centre Mainz * informed written consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Time to emergency front of neck access (eFONA) decision (in s) | time (in seconds) until scenario is solved and decision to perform eFONA is verbalized (maximum time to solve scenario 10 minutes) | time to verbalized decision to perform eFONA defined as time to solving the scenario (in s) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Time to establish successful oxygenation (in seconds) | Maximum time to solve scenario: 10 minutes | Time to establish successful oxygenation (defined as successfully conducting eFONA and performing ventilation) in seconds |
| number of departures from difficult airway algorithm | Through the course of the scenario (maximum time for completion 10 minutes) | The number of times during the scenario that the treatment is not concordant with the difficult airway algorithm |
| Gender differences in the time until eFONA | Maximum time to solve the scenario: 10 minutes | Gender differences in the time until eFONA is performed |
| Time to decision to prepare eFONA (in sec) | time (in seconds) when decision to prepare eFONA is verbalized (maximum time to solve scenario 10 minutes) | Time until the decision to prepare (but not directly execute) eFONA (in sec) |
| subjective work load evaluation | To be filled out after completing the scenario (time given: 3 minutes) | evaluating the work load using NASA task load scale (NASA-TLX) questionnaire (nominal scale from very low to very high) |
| number of unnecessary drawer opening | Through the course of the scenario (maximum time for completion 10 minutes) | The number of times during the scenario that drawers are opened without retrieving any equipment |
| subjective operator experience | To be filled out after completing the scenario (time given: 3 minutes) | Experience of the operator using an ordinal scale (1-7) |
| Gender differences in number of departures from difficult airway algorithm | Maximum time to solve the scenario: 10 minutes | Gender differences in number of departures from difficult airway algorithm |
Countries
Germany
Outcome results
None listed