Date of Award

Spring 4-28-2023

Document Type

DNP Project

Project Team Faculty Member

Dr. Kevin Stein, DNAP, CRNA, APRN

Project Team Faculty Member

Dr. Matthew Bednarchik, DNP, CRNA, APRN, NSPM-C

Project Team Faculty Member

Dr. Nicholas Collier, DNP, MBA, CRNA, APRN


student registered nurse anesthesiologist, high-fidelity simulation, anesthesia induction, confidence, competence, clinical


Positive anesthetic outcomes require rapid and precise recognition and treatment of highly complex pathophysiologic states. Repeated exposure to low-frequency, high-stakes events in a realistic milieu facilitates timely and appropriate anesthetic interventions. Current evidence suggests high-fidelity simulation enhances anesthetic training and can improve patient outcomes by enhancing confidence, competence, and proficiency while removing the risk for patient harm during simulated events. This project’s aim was to improve student registered nurse anesthesiologists’ confidence and competence in routinely encountered anesthetic situations utilizing high-fidelity simulation. Prior to beginning clinical rotations, students participated in a high-fidelity routine anesthetic induction simulation and were challenged to diagnose and mitigate an esophageal or right-mainstem bronchus intubation. Overall, students self-reported improvements in confidence and competence with the anesthetic induction, endotracheal intubation, confirming appropriate endotracheal tube placement, and troubleshooting complications that may arise during an anesthetic induction.

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Literature Review McGee & Stein.docx (51 kB)
Literature Review

Conceptual Framework McGee & Stein.docx (14 kB)
Conceptual Framework

Methodology McGee & Stein.docx (26 kB)
Project Methods

Evaluation Process McGee & Stein.docx (22 kB)
Evaluation Process/ Instruments

References McGee & Stein.docx (23 kB)
Final Reference List



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