Frontiers in Medicine · 2025 · 17 citations · 29 references
Social SciencesRadiologyHealth AssessmentHealth CommunicationPulmonologyHealth Information EvaluationOnline Health CommunitiesPulmonary AssessmentPulmonary Nodule EvaluationSocial MediaSocial Media Health CommunicationAccuracyInformation DisseminationInter-rater AgreementInter-rater ReliabilityOnline Health Information EvaluationOnline Health Information QualitySocial Media Health Information EvaluationSocial Media Platforms
Background Pulmonary nodules (PNs) are often overlooked, potentially leading to health risks. Social media platforms are increasingly used for health information dissemination. This study evaluates the quality and engagement of PN-related videos on YouTube, Bilibili, and TikTok. Methods On March 1, 2025, we searched each platform using “pulmonary nodule” or its Chinese equivalent. After screening, 271 videos were analyzed. Video characteristics were documented, and quality was assessed using PEMAT, VIQI, GQS, and mDISCERN tools. Inter-rater reliability was high ( κ = 0.81). Results The final sample included 98 (YouTube), 74 (Bilibili), and 99 (TikTok) videos. TikTok videos were the shortest (median 114 s) yet had the highest engagement. Nonprofit organizations dominated YouTube uploads; physicians were most common on Bilibili and TikTok. Treatment was the most covered topic. YouTube scored highest in comprehensibility and actionability (PEMAT-T/A), while Bilibili and TikTok scored higher in production quality (VIQI, GQS). Video quality did not differ significantly between professional and non-professional uploaders. Most quality metrics showed weak correlation with audience engagement. Conclusion Long-form platforms (YouTube and Bilibili) offer higher-quality PN information but lower engagement, whereas short-form platforms (TikTok) show high interaction but lower informational depth. Social media can play a supportive role in public PN education. We provide recommendations for creators, platforms, and viewers to improve the quality and reliability of medical content.
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Interrater reliability: the kappa statistic
Marry L. McHugh · Biochemia Medica · 2012 · 18.6K citations · Full text
Fleischner Society: Glossary of Terms for Thoracic Imaging
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Social Sciences, Health Information Management, Evidence-based Practice +15
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Annette McWilliams, Martin C. Tammemägi, John R. Mayo et al. · New England Journal of Medicine · 2013 · 1.4K citations · Full text