Online Crowdsourcing to Explore Public Perceptions of Robotic-Assisted Orthopedic Surgery

Background: The clinical benefits of robotic-assisted technology in total joint arthroplasty are unclear, but its use is increasing. This study employed online crowdsourcing to explore public perceptions and beliefs regarding robotic-assisted orthopedic surgery. Methods: A 30-question survey was completed by 588 members of the public using Amazon Mechanical Turk. Participants answered questions regarding robotic-assisted orthopedic surgery, sociodemographic factors, and validated assessments of health literacy and patient engagement. Multivariable logistic regression modeling was used to determine population characteristics associated with preference for robotic technology. Results: Most respondents believe robotic-assisted surgery leads to better results (69%), fewer complications (69%), less pain (59%), and faster recovery (62%) than conventional manual methods. About half (49%) would prefer a low-volume surgeon using robotic technology to a high-volume surgeon using conventional manual methods. The 3 main concerns regarding robotic technology included lack of surgeon experience with robotic surgery, robot malfunction causing harm, and increased cost. Only half of respondents accurately understand the actual role of the robot in the operating room. Overall, 34% of participants have a clear preference for robotic-assisted surgery over a conventional manual approach. After multivariable regression analysis, Asian race, working in healthcare, early technology adoption, and prior knowledge of robotic surgery were independent predictors of preferring robotic-assisted surgery. Conclusion: The public's unawareness of the dubious outcome superiority associated with robotic-assisted orthopedic surgery may contribute to misinformed decisions in some patients. Robotic-assisted technology appears to be a powerful marketing tool for surgeons and hospitals. (C) 2021 Elsevier Inc. All rights reserved.