YouTube is a popular video-sharing platform commonly visited by patients and healthcare professionals for medical information. Gout is the most frequent cause of inflammatory arthritis in adults. However, the accuracy and quality of gout-related information on YouTube are not fully known. Thus, the aim of this study was to assess the reliability and quality of YouTube videos pertaining to gout. A YouTube search was conducted using the keywords “gout”, “gout arthritis”, “gout treatment”, and “gout diet”. Of the 240 videos screened, 114 that met the inclusion criteria were included in the study. The number of days since upload, number of views, likes, dislikes, comments and duration of the videos were recorded. A Modified DISCERN tool and the Global Quality Scale (GQS) were used to evaluate the reliability and quality of the videos. Of the 114 analyzed videos, 87.72% were deemed as useful while 12.28% contained misleading information with higher viewership. The most common topic was “gout diet”. The majority of the videos demonstrated high quality (57.89%), followed by intermediate quality (28.95%) while the percentage of low-quality videos was 13.16%. Videos posted by academic institutions/professional organizations and physicians had higher modified DISCERN and GQS scores indicating higher reliability and quality. This study demonstrated that the majority of YouTube videos on gout provide useful information. However, physicians should be aware of the limited nature of YouTube and correct any misinformation during face-to-face meetings. YouTube should consider avoiding misleading videos using validity scales such as modified DISCERN and GQS.
The results of the present study suggest that the NLR may be considered a useful marker of disease activity in RA and one that can aid the diagnosis of ERA. The PLR can be used in the assessment of disease activity in RA patients undergoing anti-TNF therapy but is not suitable for diagnosing ERA.
Introduction/objectives A progressively growing number of rheumatologists have integrated musculoskeletal ultrasound (MSUS) as a prized tool in their daily clinical practice over the past two decades. Lately, YouTube is often used by healthcare professionals as an educational tool. This study aimed to analyze the quality of educational information available on YouTube pertaining to MSUS. Method We performed a search using the keyword “musculoskeletal ultrasound” on YouTube in January 2021. Of the first 200 videos screened, 147 met the inclusion criteria. The quality and reliability of the videos were evaluated using the global quality score (GQS) and modified DISCERN score, and their popularity was assessed using the Video Power Index (VPI). Results Of the 147 videos evaluated, 58 (39.5%) were of high quality, 30 (20.4%) were of moderate quality, while 59 (40.1%) were of low quality. The modified DISCERN score and the duration of the videos were significantly higher in the high-quality videos than the moderate- and low-quality videos ( p < 0.001 for all). The median number of views per day, likes, comments, and the popularity of the videos assessed with VPI were significantly higher in the high- and moderate-quality group compared to the low-quality videos ( p < 0.001, p < 0.001, p = 0.007, and p < 0.001, respectively). Conclusion The quality of YouTube videos as an educational source on MSUS is unsatisfactory. Professional organizations and physicians should consider creating more high-quality MSUS videos. YouTube should consider filtering out poor-quality videos in collaboration with experts in the field. Key Points • Although rheumatologists are increasingly using ultrasound as an extension of their exam, accessing musculoskeletal ultrasound training is still facing some challenges. • YouTube is commonly used as an educational source by medical students and healthcare professionals. • Approximately 60% of the videos related to musculoskeletal ultrasound on YouTube revealed high and moderate quality, while the remaining 40% were of low quality and not suitable for medical education. • A filtering mechanism is required to improve the quality of YouTube content on MSUS.
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