Quality of bladder cancer treatment information on YouTube: May the user’s profile affect the quality of results?

Submitted: December 12, 2023
Accepted: December 24, 2023
Published: February 16, 2024
Abstract Views: 363
PDF: 204
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Background: Social media are widely used information tools, including the medical/health field. Unfortunately, the levels of misinformation on these platforms seem to be high, with a medium-low quality of the proposed content, as evidenced by previous studies. You Tube is one of the most important platforms for audio/video content. It shows content to users through a recommendation algorithm system.
Materials and methods: We have classified in two cohorts the first results obtained by researching "bladder tumor treatment" on You Tube through two different user profiles: "Cohort A" with a not logged-in session in incognito mode (46 videos enrolled) and "Cohort B" with a logged-in session with a physician profile (50 videos enrolled). The videos were evaluated using validated instruments such as DISCERN and PEMAT-AV Furthermore, we used a Likert’s scale for the evaluation of levels of misinformation.
Results: Overall quality of information was moderate to poor (DISCERN 3) in 54% of Cohort A and 24% of Cohort B. Moreover, a high degree of misinformation (Likert score 3) was found in 52% of Cohort A cases and 32% of Cohort B.
Conclusions: Levels of misinformation in both cohorts are positively correlated to the number of views per month. Globally, the levels of information quality, understandability and actionability are lower for the results obtained from searches performed with anonymous user profile (Cohort A).

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Borgmann H, Cooperberg M, Murphy D, et al. Online professionalism—2018 update of European association of urology (@uroweb) recommendations on the appropriate use of social media. Eur Urol 2018;74:644-50. DOI: https://doi.org/10.1016/j.eururo.2018.08.022
Loeb S, Reines K, Abu-Salha Y, et al. Quality of Bladder Cancer Information on YouTube. Eur Urol. 2021;79:56-59. DOI: https://doi.org/10.1016/j.eururo.2020.09.014
García-Cano-Fernández AM, Szczesniewski-Dudzik JJ, García-Tello A, et al. Quality of bladder cancer information on YouTube. Cent European J Urol. 2022;75:248-251.
International Agency for Research on Cancer. Bladder cancer GLOBOCAN. In: https://gco.iarc.fr/today/data/factsheets/cancers/30-Bladder-fact-sheet.pdf2018
Kamat AM, Agarwal P, Bivalacqua T, et al. Collaborating to move research for-ward: proceedings of the 10th annual bladder cancer think tank. Bladder Cancer 2016;2:203-13. DOI: https://doi.org/10.3233/BLC-169007
Tariq A, Khan SR, Vela I, Williams ED. Assessment of the use of the internet and social media among people with bladder cancer and their carers, and the quality of available patient-centric online. BJU Int. 2019;123:10-18. 5. DOI: https://doi.org/10.1111/bju.14720
Covington C, Adams J, Sargin E. Deep neural networks for youtube recommen-dations. RecSys '16: Proceedings of the 10th ACM Conference on Recom-mender Systems 2016; pp. 191-198. DOI: https://doi.org/10.1145/2959100.2959190
Davidson J, Liebald B, Liu J, et al. The youtube video recommendation system. In Proceedings of the Fourth ACM Conference on Recommender Systems, RecSys’10, pages 293-296, New York, NY, USA, 2010. DOI: https://doi.org/10.1145/1864708.1864770
AHRQ. The patient education materials assessment tool (pemat) and user’s guide. https://www.ahrq.gov/professionals/preventionchronic-care/improve/self-mgmt/pemat/pemat-av.html
Charnock D, Shepperd S, Needham G, Gann R. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Commun Health 1999;53:105-11. DOI: https://doi.org/10.1136/jech.53.2.105
Available from: http://www.discern.org.uk
Herbert AS, Nemirovsky A, Hess DS, et al. Pelvic organ prolapse on YouTube: evaluation of consumer information. BJU Int. 2020;125:759-760. DOI: https://doi.org/10.1111/bju.15032
Fode M, Jensen CFS, Østergren PB. How Should the Medical Community Respond to the Low Quality of Medical Information on Social Media? Eur Urol. 2021;79:60-61. DOI: https://doi.org/10.1016/j.eururo.2020.09.050

How to Cite

Prontera, P. P., Prusciano, F. R., Lattarulo, M., Utano, E., Schiralli, F., Sciorio, C., Romano, L., & Grossi, F. S. (2024). Quality of bladder cancer treatment information on YouTube: May the user’s profile affect the quality of results?. Archivio Italiano Di Urologia E Andrologia, 96(1). https://doi.org/10.4081/aiua.2024.12179