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Implementation of a Perioperative Lung Protective Ventilation Protocol for Robotic-Assisted Surgeries
Sydney A Elmore1, Denise H Tola2, Virginia C Simmons3
1Certified Registered Nurse Anesthetist at Duke University Hospital, Duke University Health System, Durham, North Carolina.
Implementing lung protective ventilation (LPV) in robotic surgery significantly improved provider adherence to LPV protocols. Education and targeted interventions enhanced provider knowledge and confidence, optimizing patient ventilation strategies.
Area of Science:
- Anesthesiology
- Surgical Innovation
- Respiratory Care
Background:
- Lung protective ventilation (LPV) is crucial for mitigating ventilator-induced lung injury.
- Robotic surgery presents unique ventilation challenges requiring optimized protocols.
- Provider education and adherence are key to successful implementation of LPV.
Purpose of the Study:
- To educate healthcare providers on the benefits of LPV.
- To implement an LPV protocol specifically for robotic-assisted surgery.
- To evaluate adherence to the LPV protocol in adult robotic surgery patients.
Main Methods:
- A pre/post quality improvement design was employed over six months.
- Retrospective electronic medical record review assessed adherence to the LPV protocol.
- Data collected included ventilator settings, patient demographics, and ASA physical status.
Main Results:
- Adherence to LPV parameters, including tidal volume, respiratory rate, and driving pressure, significantly improved post-implementation (P < .001).
- Provider knowledge and confidence increased significantly following educational interventions (P = .049).
- The implemented LPV protocol demonstrated improved adherence with education and information tools.
Conclusions:
- Provider education and the implementation of a dedicated LPV protocol enhance adherence in robotic surgery.
- Improvements in LPV adherence correlate with increased provider knowledge and confidence.
- This quality improvement project highlights the effectiveness of targeted interventions for optimizing ventilation strategies in robotic surgery.
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