Evidence map›Paper›PMID 37875699›Full record

ArticleOphthalmology and therapy2024

Education and Misinformation: Exploring Ophthalmology Content on TikTok.

Ritu Sampige, Emily Grace Rodgers, Austin Huang, Dagny Zhu

Abstract read
In one paragraph

Article in Ophthalmology and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  12. Assessing quality, reliability and accuracy of polycystic ovary syndrome-related content on TikTok: A video-based cross-sectional analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
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  14. TikTok as a platform for hysteroscopy information: An analytical video-based cross-sectional study to assess quality, reliability, and accuracy.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ritu SampigeDepartment of Ophthalmology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA. ritu.sampige@bcm.edu.
Emily Grace RodgersWhitsett Vision Group, 1237 Campbell Rd., Houston, TX, 77055, USA.
Austin HuangDepartment of Ophthalmology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA.
Dagny ZhuNVISION Eye Centers, 17980-1 Castleton Street, Rowland Heights, CA, 91748, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWith the continuous rise of social media usage, more patients are looking online for health-related information. TikTok is one of the fastest-growing video-based social media platforms, but the quality of its ophthalmologic content, at a comprehensive level, has not been previously analyzed. We aim to explore and characterize popular ophthalmology content on TikTok, including the presence of misinformation.

methodsBetween April 16 and May 22, 2023, 37 different ophthalmology-relevant hashtags were queried on TikTok, and the top 20 most-liked videos per hashtag were analyzed. The quality of educational videos was graded on understandability and actionability using the Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V). Trends in creator identity, content type, engagement metrics, misinformation presence, and TikTok verification status were also assessed.

resultsThe 37 ophthalmology-related hashtags yielded 723 videos comprising 3.806 billion views. A minority of videos were created by ophthalmologists (16.9%) and eyecare providers (35.1%), while the majority were created by non-healthcare providers (55.0%). The most common types of videos identified were primarily related to personal experiences (35.8%) and education (38.0%). Amongst educational videos, mean PEMAT-A/V understandability and actionability scores were 88.1% and 50.6%, respectively. Misinformation was found in 5.4% of all videos, comprising 4.8% of all likes, 4.7% of all comments, and 11.7% of all bookmarks. Its presence was significantly correlated with content created by non-healthcare providers (p < 0.001) and received a disproportionately higher percentage of bookmarks.

conclusionsThis was the largest, most comprehensive evaluation of ophthalmologic content on TikTok. A significant portion of popular ophthalmologic content on TikTok is created by non-eyecare providers and contains misinformation. Our findings confirm the need for ophthalmologists to create more engaging, actionable, and factual educational content to combat misinformation adoption.

Indexed as

EducationMisinformationOphthalmologyPEMAT-A/VSocial mediaTikTok

Identifiers

PMID37875699
PMCPMC10776549

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.