ReviewDigital health
Ophthalmic health communication in the video-based social media era: A narrative review of information quality, engagement dynamics, and professional education.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid ascent of video-based social media, platforms like TikTok and YouTube have become primary sources of ophthalmic health information, shaping both patient perceptions and professional development. This narrative review synthesizes evidence from 76 empirical studies to evaluate the quality and reliability of ophthalmic video content. We identify a persistent engagement paradox, where algorithm-driven metrics such as view counts and shares often favor simplified, emotionally resonant, or visually striking narratives over medically accurate and balanced counseling. Clinician-produced content generally showed higher clinical integrity in the included studies, but it often received lower engagement than peer-led experiential narratives. Beyond patient-facing education, we explore the emerging role of video platforms as professional-facing education for residents, highlighting the risks of survivor bias in unedited or curated operative footage. Furthermore, the visual-centric nature of ophthalmology introduces unique ethical challenges, particularly regarding the anonymization of recognizable facial features and the permanence of digital consent. As Generative AI introduces new risks of sophisticated deepfake misinformation, this review emphasizes the urgent need for multi-modal assessment tools and active professional stewardship to ensure the integrity of digital eye care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.