Introduction: YouTube™ has grown into one of the largest disseminators of health care information. We assessed the quality of information on varicoceles and their treatment, available on YouTube™.
Methods: Using a YouTube™ search query with the keyword "varicocele," the quality of the first 50, nonrepeat videos in English were assessed as a representative group for the topic. DISCERN and Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-AV) standardized tools were utilized by three independent reviewers to grade the quality of these videos based on content, understandability, and actionability.
Results: The average and median DISCERN score was 31.34 (±9.37) and 31 (interquartile range 25-35), respectively, indicating poor quality. The interrater reliability (IRR) scores ranged from 0.51 to 0.93, indicating fair to excellent reliability. The average PEMAT-AV understandability and actionability scores were 69.8% ±15.4% and 11.0% ±24.6%, respectively, indicating mostly understandable but poor actionability. The -test results showed that international videos scored higher without statistical significance in the DISCERN or PEMAT-AV scores ( = 0.18, 0.59, and 0.20).
Conclusions: The current quality of videos on YouTube™ on the topic of varicoceles is of poor quality due to a lack of a holistic approach in explaining the wide range of treatment options available. With the ease of access to produce and disseminate health information, there is a need to create high-quality videos on varicoceles that empower a patient to make an informed decision.
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http://dx.doi.org/10.4103/iju.iju_201_21 | DOI Listing |
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December 2024
Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, Medical School, University of Exeter, Exeter EX1 2LU, UK.
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Thoracic Surgery, Halic Universitesi, Beyoglu, Turkey.
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Computer vision has progressively advanced precision poultry farming. Despite this substantial increase in research activity, computer vision in precision poultry farming still lacks large-scale, open-access datasets with consistent evaluation metrics and baselines, which makes it challenging to reproduce and validate comparisons of different approaches. Since 2019, several image/video datasets have been published and open-accessed to alleviate the issue of dataset scarcity.
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