The Relative Importance of Factors That Applicants Weigh When Ranking Adult Reconstruction Fellowships as Well as Their Perspectives on Robotic-Assisted Arthroplasty

Background: Orthopedic Surgery Fellowship programs offer highly specialized training that varies based on the training environment and surgical experience. Additionally, for Adult Reconstruction programs, robotic-assisted surgery exposure has been a widely discussed topic. The purpose of this study was to determine the relative value of various factors to Adult Hip and Knee Fellowship applicants, and their perceptions of robotic-assisted arthroplasty. Methods: We surveyed 780 applicants who applied to our fellowship to matriculate in 2020 to 2024. We received 158 responses (20.3% response rate). We assessed factors concerning people and perceptions, logistics, salary and bene fits, program reputation and curriculum, and surgical experience. Additionally, we surveyed fellows ' attitudes toward using robotic surgery and its impact on patient outcomes. Results: The highest-rated factors were Level of Hands-On Operative Experience (4.83), Revision Hip Volume (4.72), Revision Knee Volume (4.71), Multiple Surgical Exposures to the Hip (4.59), and Clinical Case Variety (4.59). Respondents who were postfellowship matriculation placed signi ficantly more value on Exposure to Multiple Attendings with Surgical Diversity ( P = .01), and Anterior Hip Volume ( P = .04), and less value on Geographic Location ( P = .04) and Patient-Speci fic Instrumentation ( P = .02) than prematriculates. Overall, 65% of applicants plan to or currently use robotics, 7.6% do not, and 27.2% said "Maybe ". Those who plan to or currently use robotics most cited procedure fidelity, patient-preference, and marketability as reasons to use robotics. Conclusions: Hands-on surgical experience and revision volume were the most important factors for fellowship applicants. Applicants placed lower importance on robotics exposure and their perspectives on robotics in their future practice were highly variable. Our results will inform fellowship programs and future applicants what previous applicants have valued in their training to help guide fellowship program structure, resource management, as well as recruitment. (c) 2023 Elsevier Inc. All rights reserved.