Dağdelen, Kenan (2022) Quality Assessment and Content Analysis of Youtube Videos on Glaucoma Surgery. British Journal of Multidisciplinary and Advanced Studies, 3 (1). pp. 20-28. ISSN 2517-276X(Print), 2517-2778 (Online)
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Abstract
The aim of this study is to evaluate the accuracy, quality and reliability of the
videos on glaucoma surgery on YouTube which is an online video-sharing platform.The material has been obtained by a video search carried out on the Youtube -online video platformwith the keyword “Trabeculectomy” is kind of glaucoma surgery. A total of 44 videos for the keyword “trabeculectomy” were analyzed. When evaluated according to the exclusion criteria,
a total of 10 videos were included in the analysis, and the 34 videos were excluded. Thus, after
carving out the secondary data, a number of statistical analyses were performed namely
Shapiro-Wilks, Kruskall-Wallis, Mann-Whitney U and Backward Linear Regression. In this framework, statistical analyzes were made via using the Stata software. Statistical significance value (threshold) was accepted as %10 (p<0.05). When the videos were evaluated according to
the information content they provided, it was found that 5 videos had low quality informationcontent, 4 videos had medium quality information content, 1 video had good quality information content. Moreover, it was statistically determined that the parameter affecting the number of
views was the number of likes (p<0.05). This is the first study in ophthalmology to analyze publicly available online data evaluating glaucoma patients.YouTube videos are essentially insufficient as an educational material and an English source of information for the glaucoma surgery. Health professionals need to pay more attention to online platforms so that patients
can access accurate information
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 03 Nov 2022 17:28 |
| Last Modified: | 03 Nov 2022 17:28 |
| URI: | https://tudr.org/id/eprint/1154 |
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