The quality and reliability analysis of YouTube videos about insulin resistance


Barlas T., Ecem Avci D., Cinici B., Ozkilicaslan H., Muhittin Yalcin M. M., Eroglu Altinova A.

International Journal of Medical Informatics, vol.170, 2023 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 170
  • Publication Date: 2023
  • Doi Number: 10.1016/j.ijmedinf.2022.104960
  • Journal Name: International Journal of Medical Informatics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, CINAHL, Compendex, EMBASE, INSPEC, MEDLINE
  • Keywords: Discern score, Global Quality Scale, Insulin resistance, Internet users, Online
  • Gazi University Affiliated: Yes

Abstract

© 2022 Elsevier B.V.Aim: There is an increasing trend in the use of internet as a search tool for health-related informations. Insulin resistance is one of the most searched subjects online and some of the videos about insulin resistance have been watched by millions of YouTube users. This study aims to determine the quality and reliability of the most popular videos about insulin resistance on YouTube. Methods: On March 1, 2022, the term “insulin resistance” was searched on YouTube. The videos’ popularity was assessed with Video Power Index (VPI). The quality and reliability were assessed with DISCERN score, modified DISCERN score and global quality score (GQS). Results: A total of 100 most popular videos were evaluated after applying the exclusion criteria. Fifty-four percent of the videos were very poor-poor, 35 % moderate, and 11 % good–excellent quality. Although few in number, the videos with relatively higher quality and more reliable had higher numbers of views, likes and comments (p < 0.01). There was a positive correlation between DISCERN score and VPI, duration, view, like, dislike, comment numbers of the videos (p < 0.01). Healthcare providers uploaded 58 % of the videos, while independent users uploaded 42 %. Video like ratio (VLR) at healthcare providers’ videos was significantly higher than independent users’ videos (p = 0.001). Conclusions: Despite the high viewing rates of YouTube videos about insulin resistance, the overall quality and reliability were found to be very low. However, when high quality content regarding popular medical topics is produced, more people can be informed correctly.