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    Are English-language YouTube videos a reliable source for adult orthodontics?
    (2022) Ercan, Derviş Emre; Yavan, Mehmet Ali
    Abstract YouTube, provides content in the field of orthodontics, as in many areas of healthcare. Aim This study aimed to evaluate the reliability, quality, and content of English-language YouTube videos on adult orthodontics. Material and methods A key word search was conducted on YouTube using two key words including ‘adult brace’ and ‘adult orthodontics’ that were determined based on the Google Trends statistics. The content, reliability, and overall quality (Video Information and Quality Index [VIQI]) scores as well as the interaction index scores and viewing rates of the videos were investigated. Results A total of 106 eligible videos out of 150 videos were included in the analysis. The videos were uploaded by three main groups including patients (53%), orthodontists (32%), and media organizations (15%) The mean content, reliability, and VIQI scores were 1.74?1.48, 1.70?1.47, and 9.00?4.32, respectively. The interaction index and viewing rates of the videos uploaded by the patients were significantly higher than those of other two groups, whereas their content, reliability, and VIQI scores were significantly lower (p<0.05). No significant difference was found between the videos uploaded by orthodontists and media organizations with regard to content, reliability, and VIQI scores (p>0.05). Conclusions Although the videos uploaded by patients had lower content, quality, and reliability scores, their interaction index scores and viewing rates were higher.
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    Orthodontics in an online community: A computational analysis of r/Braces subreddit
    (ELSEVIER, 2023) Yavan, Mehmet Ali; Ercan, Derviş Emre
    ABSTRACT Backround This study aimed to analyze the semantic network and content analyses of the posts published in a subreddit related to orthodontic treatment on Reddit (Advance Publications, Inc., San Francisco, California). Methods The eight threads in the r/Braces subreddit were divided into two categories: 1) “treatment process” (Braces are off!!!, Braces progress, Before and after!, and Day 1!) and 2) “question/problem” (Question, Discussion!, Need advice! and Rant!). For both categories, a semantic network analysis was performed using the Leximancer software (Leximancer Pty Ltd., Brisbane, Australia). In addition, the quality of the posts published in the “question” thread and the usefulness of the replies provided to these questions (useful, misleading, or neutral) were analyzed. Results Seven themes (braces, teeth, months, day, worth, started, and result) that mostly emphasized orthodontic treatment and treatment duration were elicited from the “treatment process” category, and seven themes (teeth, orthodontist, braces, week, bands, brush, and extractions) that mostly emphasized orthodontic treatment, orthodontists, and time were elicited from the “question/problem” category. It was also revealed that users voted on the posts related to the “treatment process” category and moved the posts to the list of top posts on the platform. In the “question” thread, 47.79% of the posts asked for advice and 21.11% of them were related to failures. In addition, 69% of the replies were categorized as “useful.” Conclusions Reddit is a successful data mining platform, and the users provide highly useful replies to the questions posted on Reddit regarding orthodontic treatment.