Reducing the Risk of VAE/VAP
Presented by Patti DeJuilio
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This course will review the ventilator acquired event (VAE) algorithm and the CDC's National Healthcare Safety Network (NHSN) surveillance definition and steps to determining VAE. The course will also describe the evidence-based bundles of practice recommended to reduce and/or eliminate ventilator-associated events. Lastly, the course will discuss best practices for VAE bundle implementation.
VAEs, specifically ventilator-associated conditions (VACs) and ventilator-acquired pneumonia (VAP), can cause harm to hospitalized patients and are considered avoidable. This course will present evidence-based best-practice bundles that have been shown to reduce and/or eliminate the risk of VAEs. The intended audience is healthcare personnel who care for mechanically ventilated patients.
Meet your instructor
Patti DeJuilio
Patti DeJuilio is clinical director of respiratory care services, sleep medicine, and neurodiagnostics at Northwestern Medicine Central DuPage Hospital in Winfield, Illinois. She has 37 years of experience in respiratory care, including 20 years at Northwestern Memorial Hospital in Chicago, Illinois, and 17 years at…
Chapters & learning objectives
1. Understanding the CDC’s NHSN VAE Surveillance Tool
The CDC's VAE surveillance tool will be introduced and the acronyms and definitions of each tier discussed. Practice modules following step-by-step monitoring will be presented.
2. Evidence-Based Best Practices to Reduce or Eliminate VAE
This chapter will review each element in the bundles of practice that have been published and recommended to reduce ventilator-acquired events.
3. Implementing a VAE-Prevention Evidence-Based Protocol
This chapter presents the importance of the interdisciplinary team, which is critical when there are many tasks that need to be completed and adherence needs to be monitored. Steps that should be taken to successfully implement new best practice, sustaining best practice, and monitoring adherence to best practice are presented.