JHSM

Journal of Health Sciences and Medicine (JHSM) is an unbiased, peer-reviewed, and open access international medical journal. The Journal publishes interesting clinical and experimental research conducted in all fields of medicine, interesting case reports, and clinical images, invited reviews, editorials, letters, comments, and related knowledge.

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Original Article
A quality analysis of robotic-assisted knee replacement surgery videos on Youtube
Aims: 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
Methods: 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.


1. Haddad FS. Evolving techniques: the need for better technology.Bone Joint J 2017; 99: 145-6.
2. Banerjee S, Cherian JJ, Elmallah RK, Jauregui JJ, Pierce TP, MontMA. Robotic-assisted knee arthroplasty. Expert Rev Med Devices2015; 12: 727-35.
3. Kayani B, Konan S, Ayuob A, Onochie E, Al-Jabri T, HaddadFS. Robotic technology in total knee arthroplasty: a systematicreview. EFORT Open Rev 2019; 4: 611-7.
4. Farnan JM, Paro JA, Higa J, Edelson J, Arora VM. The YouTubegeneration: implications for medical professionalism. PerspectBiol Med 2008; 51: 517-24.
5. Ashraf B. Teaching the Google-eyed YouTube generation. EducTrain 2009; 51: 343-52.
6. Potomkova J, Mihal V, Schwarz D. Medical education forYouTube generation. In: Silva A, Pontes E, Guelfi A, Kofuji ST,editors. ELearning- Engineering. On-Job Training and InteractiveTeaching. Rijeka: InTech; 2012. p. 157-176.
7. Barry DS, Marzouk F, Chulak-Oglu K, Bennett D, Tierney P,O’Keeffe GW. Anatomy education for the YouTube generation.Anat Sci Educ 2016; 9: 90-6.
8. Fleiss JL, Cohen J. The equivalence of weighted kappa andintraclass correlation coefficient as measures of reliability. EducPsychol Meas 1973; 33: 613-9.
9. Landis JR, Koch GG. The measurement of observer agreement forcategorical data. Biometrics 1977; 33: 159-74.
10. Charnock D, Sheppard S, Needham G, Gann R. DISCERN: aninstrument for judging the quality of written consumer healthinformation on treatment choices. J Epidemiol CommunityHealth 1999; 53: 105-11.
11. Silberg WM, Lundberg GD, Musacchio RA. Assessing, controlling,and assuring the quality of medical information on the internet.JAMA 1997; 2774: 1244-5.
12. Eysenbach G, Kohler C. What is the prevalence of health-relatedsearches on the world wide web? qualitative and quantitativeanalysis of search engine queries on the Internet. AMIA AnnuSymp Proc 2003; 2003: 225-9.
13. Murray E, Lo B, Pollack L, et al. The impact of health informationon health care and the physician-patient relationship: NationalU.S. Survey among 1050 U.S. physicians. J Med Internet Res 2003;5: e17.
14. Koller U, Waldstein W, Schatz KD, et al. YouTube providesirrelevant information for the diagnosis and treatment of hiparthritis. Int Orthop 2016; 40: 1995.
15. MacLeod MG, Hoppe DJ, Simunovic N, et al. YouTube asan information source for femoroacetabular impingement: asystematic review of video content. Arthroscopy 2015; 31: 136.
16. Wong M, Desai B, Bautista M, Kwon O, Kolodychuk N, ChimentoG. YouTube is a poor source of patient information for kneearthroplasty and knee osteoarthritis. Arthroplast Today 2018; 5:78-82.
17. Kuru T, Erken HY. Evaluation of the Quality and Reliability ofYouTube Videos on Rotator Cuff Tears. Cureus 2020; 12: e6852.
18. Staunton PF, Baker JF, Green J, et al. Online curves: a qualityanalysis of scoliosis videos on youtube. Spine (Phila Pa 1976)2015; 40: 1857.
19. Jones M, Wiberg A. Evaluating youtube as a source of patientinformation on dupuytren’s disease. World J Plast Surg 2017; 6:396
20. Gokcen HB, Gumussuyu G. A quality analysis of disc herniationvideos on YouTube . World Neurosurg 2019; 1878: 875030246-3
21. Ovenden CD, Brooks FM. Anterior cervical discectomy andfusion YouTube videos as a source of patient education. AsianSpine J 2018; 12: 987-91
22. Kunze KN, Cohn MR, Wakefield C, et al. YouTube as a Source ofInformation About the Posterior Cruciate Ligament: A Content-Quality and Reliability Analysis. Arthrosc Sports Med Rehabil2019; 1: e109-14.
23. Kumar N, Pandey A, Venkatraman A, Garg N. Are video sharingweb sites a useful source of information on hypertension? J AmSoc Hypertens 2014; 8: 481-90.
24. Garg N, Venkatraman A, Pandey A, Kumar N. YouTube as asource of information on dialysis: a content analysis. Nephrology2015; 20: 315-20.
25. Lee JS, Seo HS, Hong TH. YouTube as a source of patientinformation on gallstone disease. World J Gastroenterol. 2014; 14:4066-70.
26. Erdem MN, Karaca S. Evaluating the accuracy and quality of theinformation in kyphosis videos shared on YouTube. Spine (PhilaPa 1976) 2018; 43: E1334-9.
27. Murugiah K, Vallakati A, Rajput K, Sood A, Challa NR. YouTubeas a source of information on cardiopulmonary resuscitation.Resuscitation 2011; 82: 332-4.
Volume 6, Issue 2, 2023
Page : 319-324
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