Improving Emergency Airway Knowledge and Self-Efficacy Levels of Outpatient Gastroenterology Staff via Implementation of Online Education and In Situ Simulation.

Published

Journal Article

Twenty percent of all ambulatory surgery cases utilizing monitored anesthesia care and sedation report at least one perioperative respiratory complication such as bronchospasm, hypoxia, laryngospasm, or aspiration (). However, the national Standards of Practice for both surgical technicians and ambulatory care nurses do not mandate emergency airway education beyond cardiopulmonary resuscitation and Basic Life Support training. A local outpatient gastroenterology clinic noticed the gap in education, and the anesthesia team decided to implement an evidence-based dual-factorial quality improvement project utilizing online education and in situ simulation. First, registered nurses and procedural technologists completed a test to assess their baseline knowledge and airway emergency performance self-efficacy levels. Then an online module was distributed that included information on the 3 most common anesthesia airway emergencies in the outpatient setting: laryngospasm, aspiration, and obstruction with resultant hypoxemia. Next, participants completed an in situ simulation of the 3 airway emergencies using low-fidelity mannequins. A post-education assessment was distributed after completion of the simulation training and again at 6 weeks and 3 months post-implementation. The data collected showed a statistically significant increase in both knowledge scores and levels of self-efficacy at 6 weeks and 3 months posteducation (p < .001).

Full Text

Duke Authors

Cited Authors

  • Covington, CC; Muckler, VC; Sheldon, L; Alexander, R; Morgan, B

Published Date

  • May 2019

Published In

Volume / Issue

  • 42 / 3

Start / End Page

  • 242 - 250

PubMed ID

  • 31145248

Pubmed Central ID

  • 31145248

Electronic International Standard Serial Number (EISSN)

  • 1538-9766

International Standard Serial Number (ISSN)

  • 1042-895X

Digital Object Identifier (DOI)

  • 10.1097/sga.0000000000000437

Language

  • eng