ClinicalTrials.gov
public full text
Public Domain
A Novel Intuitive Airway Trolley for Quick Decision-making in Simulated Unexpected Difficult Airway Situations: Evaluation and Comparison to the Existing Airway Trolley
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
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparison of the Airway Clearance Efficacy of Electro Flo 5000 and the G5 Flimm-Fighter in Patients With CF#889935
- The Potential Added Value of Impulse Oscillometry in Asthma Monitoring#1139288
- Bronchodilator Response in 4-12 Years Chinese Controller Naive Asthmatic Children#1009904
- "Effect of Artificial Intelligence-Driven Mobile Application on Nurses' Knowledge and Attitudes Toward Atraumatic Care for Hospitalized Children"#1048021
- ELLIPTA™ vs. MDI Inhaler Preference Study, in Adult Subjects With Asthma#1139050
Record · ID 880525
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive