What Hundreds of Millions of Patients With Dry Eye Will Find on YouTube: A Quality and Reliability Research of the YouTube Videos

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dc.authoridSakallıoğlu, Ahmet Kürşad/0000-0003-1206-9753
dc.authorwosidSakallıoğlu, Ahmet Kürşad/ADG-0599-2022
dc.contributor.authorSakallioglu, Ahmet Kursad
dc.contributor.authorGarip, Ruveyde
dc.date.accessioned2024-06-12T10:59:53Z
dc.date.available2024-06-12T10:59:53Z
dc.date.issued2022
dc.departmentTrakya Üniversitesien_US
dc.description.abstractPurpose: The aim of this study was to evaluate the demographic features, quality, and reliability of YouTube videos addressing dry eye disease (DED). Methods: The term dry eye disease has been searched on YouTube. The first 500 videos that emerged using the defined search term were evaluated. Duplicated-split videos, videos shorter than 60 seconds, videos with a language other than English or videos with an unintelligible English accent, and videos unrelated to DED were excluded. Video uploaders, types, origins, durations, and viewer interactions of the videos were noted. DISCERN, the Global Quality Score, and the Video Quality Score (created by the authors) were used to evaluate the video quality. Results: Of the 500 videos, 262 videos were excluded, and the remaining 238 videos were evaluated. Videos were of moderate quality on all 3 scoring systems. The medical institute and academic society videos had the highest quality (P < 0.05). The quality of videos uploaded by physicians was significantly lower than medical institute and academic society videos and was higher than the others (P < 0.05). User interactions and video duration were weakly positively correlated with the video quality (P < 0.05). Conclusions: Among YouTube videos on DED, only a minority are of good or excellent quality. Videos uploaded by medical institutes or academic societies scored higher in quality than those uploaded by physicians, which, in turn, scored higher than those uploaded by all others. User interactions were weakly correlated with quality values, suggesting user interactions are not good indicators of the quality of YouTube videos on DED.en_US
dc.identifier.doi10.1097/ICO.0000000000003064
dc.identifier.endpage1022en_US
dc.identifier.issn0277-3740
dc.identifier.issn1536-4798
dc.identifier.issue8en_US
dc.identifier.pmid35587443en_US
dc.identifier.scopus2-s2.0-85134432523en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1016en_US
dc.identifier.urihttps://doi.org/10.1097/ICO.0000000000003064
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20600
dc.identifier.volume41en_US
dc.identifier.wosWOS:000823965900014en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherLippincott Williams & Wilkinsen_US
dc.relation.ispartofCorneaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDry Eye Diseaseen_US
dc.subjectYoutube Videosen_US
dc.subjectWeb-Based Educationen_US
dc.subjectDiseaseen_US
dc.titleWhat Hundreds of Millions of Patients With Dry Eye Will Find on YouTube: A Quality and Reliability Research of the YouTube Videosen_US
dc.typeArticleen_US

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