A quality analysis of robotic-assisted knee replacement surgery videos on Youtube

Abstract

Aim: Robotic technology has been used to decrease soft tissue dissection and improve postoperative rehabilitation in several areas and robotic-assisted knee replacement has gained popularity last decades. Youtube has an uncontrolled source, making it difficult to verify the correctness of its process. It is critical to assess what they include. This study aimed to assess the quality of the YouTube video content related to robotic-assisted knee replacement surgeries Material and Method: We conducted a search on YouTube using the keywords “robotic-assisted knee replacement”. The headings of the first 50 videos on YouTube were obtained and simultaneously evaluated by two orthopedic surgeons.. We analyzed the general features and categorized videos according to content. The videos were evaluated by using the DISCERN and JAMA scores. Results: 37 videos were included. Twenty-three videos contained total knee replacement surgery while fourteen consisted of unicondylar prosthesis system. The content of the videos included 51.4% (n=19) interviews, 16.2% (n=6) live surgery, 13.5% (n=5) patient testimonials, 8.1% (n=3) animation and presentation-lesson, and 2.7% (n=1) model81.1% of the videos were uploaded by hospital accounts. These were followed by health channels (8.1%), firms (5.4%), doctors (2.7%), and patients (2.7%) the average DISCERN score was 40.1±9.4 and the average JAMA score was 2.2±1 Conclusion: The quality of the information in videos on robotic-assisted knee replacement surgery is poor, YouTube is not currently an appropriate source of such information for patients and there appears to be a disproportionate amount of information focusing on robotic-assisted knee replacement surgery.