Danielle E Kruse1, Geoffrey Scriver2, Ryan Walsh2. 1. Duke University Hospital, Department of Radiology, Box 3808, 2301 Erwin Road, Durham, NC 27705, USA. 2. University of Vermont Medical Center, Department of Radiology, 111 Colchester Ave, Burlington, VT 05401, USA.
Abstract
Rationale and objectives: Contrast reactions are rare but serious events, frequently managed independently by Radiology Residents, who are likely underprepared to lead the acute event response. At our tertiary care center, Radiology Residents are the first responders to contrast reaction scenarios, and previously had didactic only training. We sought to create a High-Fidelity Simulation Training, and to assess whether this improved resident knowledge in managing contrast reactions. Materials and methods: In September of 2020, we administered a didactic only contrast reaction training to 20 residents, with an anonymous 20 question multiple choice pre- and post-test. In January of 2022, we administered a 4-hour, 4-station contrast reaction High-Fidelity Simulation Training to 22 residents, with the same 20 question multiple choice pre- and post-test. Results: The average number of residents answering each question correctly did not significantly improve following the didactic only training (p = 0.116). Following high-fidelity simulation training, however, there was a significant improvement by a mean of 2.45 (p = 0.028), as well as a mean improvement in individual scores of 10.45% (p = 0.0001). Comparing junior and senior residents, there was a significant difference in pre-test scores, with senior residents scoring on average 9.67% better (p = 0.0364); however on post-test scores, there was no significant difference. Conclusion: High-fidelity simulation training improves resident knowledge of contrast reaction management, and allows inexperienced junior residents to attain senior resident level proficiency in these high-stress scenarios.
Rationale and objectives: Contrast reactions are rare but serious events, frequently managed independently by Radiology Residents, who are likely underprepared to lead the acute event response. At our tertiary care center, Radiology Residents are the first responders to contrast reaction scenarios, and previously had didactic only training. We sought to create a High-Fidelity Simulation Training, and to assess whether this improved resident knowledge in managing contrast reactions. Materials and methods: In September of 2020, we administered a didactic only contrast reaction training to 20 residents, with an anonymous 20 question multiple choice pre- and post-test. In January of 2022, we administered a 4-hour, 4-station contrast reaction High-Fidelity Simulation Training to 22 residents, with the same 20 question multiple choice pre- and post-test. Results: The average number of residents answering each question correctly did not significantly improve following the didactic only training (p = 0.116). Following high-fidelity simulation training, however, there was a significant improvement by a mean of 2.45 (p = 0.028), as well as a mean improvement in individual scores of 10.45% (p = 0.0001). Comparing junior and senior residents, there was a significant difference in pre-test scores, with senior residents scoring on average 9.67% better (p = 0.0364); however on post-test scores, there was no significant difference. Conclusion: High-fidelity simulation training improves resident knowledge of contrast reaction management, and allows inexperienced junior residents to attain senior resident level proficiency in these high-stress scenarios.
Authors: Jonelle M Petscavage; Angelisa M Paladin; Carolyn L Wang; Jennifer Gail Schopp; Michael L Richardson; William H Bush Journal: Acad Radiol Date: 2011-12-06 Impact factor: 3.173
Authors: Elizabeth A Krupinski; Bhavika Patel; William Berger; Allan J Hamilton; Alyson E Knapp; Gary J Becker; Robert A Gatenby Journal: Stud Health Technol Inform Date: 2009
Authors: Carolyn L Wang; Jennifer G Schopp; Kimia Kani; Jonelle M Petscavage-Thomas; Sadaf Zaidi; Dan S Hippe; Angelisa M Paladin; William H Bush Journal: Eur J Radiol Date: 2013-08-30 Impact factor: 3.528
Authors: Nancy M Tofil; Marjorie Lee White; Matthew Grant; J Lynn Zinkan; Bhavik Patel; Lynsey Jenkins; Amber Q Youngblood; Stuart A Royal Journal: Acad Radiol Date: 2010-05-15 Impact factor: 3.173
Authors: Bethany L Niell; Taj Kattapuram; Elkan F Halpern; Gloria M Salazar; Alexandra Penzias; Shawn S Bonk; Joanne C Forde; Emily Hayden; Margaret Sande; Rebecca D Minehart; James A Gordon Journal: AJR Am J Roentgenol Date: 2015-06 Impact factor: 3.959
Authors: Carolyn L Wang; Matthew S Davenport; Sankar Chinnugounder; Jennifer G Schopp; Kimia Kani; Sadaf Zaidi; Dan S Hippe; Angelisa M Paladin; Neeraj Lalwani; Puneet Bhargava; William H Bush Journal: Abdom Imaging Date: 2014-10
Authors: Carolyn L Wang; Richard H Cohan; James H Ellis; Elaine M Caoili; George Wang; Isaac R Francis Journal: AJR Am J Roentgenol Date: 2008-08 Impact factor: 3.959
Authors: Tyler M Coupal; Anne R Buckley; Sanjiv Bhalla; Jessica L Li; Stephen G F Ho; Allan Holmes; Alison C Harris Journal: Can Assoc Radiol J Date: 2018-09-20 Impact factor: 2.248