Categories
Nevin Manimala Statistics

Impact of High-Fidelity Microvascular Surgery Simulation on Resident Training

J Reconstr Microsurg. 2023 Jun 14. doi: 10.1055/a-2110-0271. Online ahead of print.

ABSTRACT

Background Microsurgery requires a high level of skill achieved only through repeated practice. With duty-hour restrictions and supervision requirements, trainees require more opportunities for practice outside the operating room. Studies show simulation training improves knowledge and skills. While numerous microvascular simulation models exist, virtually all lack the combination of human tissue and pulsatile flow. Methods The authors utilized a novel simulation platform incorporating cryopreserved human vein and a pulsatile flow circuit for microsurgery training at two academic centers. Subjects performed a standardized simulated microvascular anastomosis and repeated this task at subsequent training sessions. Each session was evaluated using pre and post-simulation surveys, standardized assessment forms and the time required to complete each anastomosis. Outcomes of interest include change in self-reported confidence scores, skill assessment scores and time to complete the task. Results In total 36 simulation sessions were recorded including 21 first attempts and 15 second attempts. Pre and post-simulation survey data across multiple attempts demonstrated a statistically significant increase in self-reported confidence scores. Time to complete the simulation and skill assessment scores improved with multiple attempts, however, these findings were not statistically significant. Subjects unanimously reported on post-simulation surveys that the simulation was beneficial in improving their skills and confidence. Conclusion The combination of human tissue and pulsatile flow results in a simulation experience that approaches the level of realism achieved with live-animal models. This allows plastic surgery residents to improve microsurgical skills and increase confidence without the need for expensive animal labs or any undue risk to patients.

PMID:37315933 | DOI:10.1055/a-2110-0271

By Nevin Manimala

Portfolio Website for Nevin Manimala