Temporomandibular disorders-related videos on YouTube are unreliable sources of medical information: A cross-sectional analysis of quality and content

Author:

Kim Moon Jong1,Kim Ji Rak2,Jo Jung Hwan34,Kim Ju Sik5,Park Ji Woon346ORCID

Affiliation:

1. Department of Oral Medicine, Seoul National University Gwanak Dental Hospital, Seoul, Korea (ROK)

2. Department of Oral Medicine, School of Dentistry, Kyungpook National University, Daegu, Korea (ROK)

3. Department of Oral Medicine and Oral Diagnosis, School of Dentistry, Seoul National University, Seoul, Korea (ROK)

4. Department of Oral Medicine, Seoul National University Dental Hospital, Seoul, Korea (ROK)

5. Department of Dentistry, Seoul National University Hospital, Seoul, Korea (ROK)

6. Dental Research Institute, Seoul National University, Seoul, Korea (ROK)

Abstract

Objective The amount of online medical information available is rapidly growing and YouTube is considered as the most popular source of healthcare information nowadays. However, no study has been conducted to comprehensively evaluate YouTube videos related to temporomandibular disorders (TMD). So this study aimed to evaluate the content and quality of YouTube videos as a source of medical information on TMD. Method A total of 237 YouTube videos that were systematically searched using five keywords (temporomandibular disorders, tmd, temporomandibular joint, tmj, and jaw joint) were included. Included videos were categorized by purpose and source for analysis. The quality (DISCERN, Health on the Net (HON), Ensuring Quality Information for Patients (EQIP), and Global Quality Scale (GQS)) and scientific accuracy of video contents were evaluated. Results Total content, DISCERN, HON, EQIP, and GQS scores were 7.5%, 38.9%, 35.2%, 53.0%, and 48.6% of the maximum possible score, respectively. Only 69 videos (29.1%) were considered as “useful” for patients. News media, physician, and medical source videos showed higher evaluation scores than others. Quality evaluation scores were not significantly correlated or negatively correlated with public preference indices. In the ROC curve analysis, content and DISCERN score showed above excellent discrimination ability for high-quality videos based on GQS ( P < 0.001) and total score ( P < 0.001). Conclusions YouTube videos related to TMD contained low quality and scientifically inaccurate information that could negatively influence patients with TMD.

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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