Evidence map›Paper›PMID 42866113›Full record

ArticleFrontiers in digital health2026

Public health communication and information quality of knee osteoarthritis-related short videos on TikTok, Kwai, and Bilibili: a cross-sectional study.

Yundong Xu, Qianqian Yang, Jian Zhang, Jin Xu, Niqin Xiao, Heguo Yan, Sanjin Zeng, Shengyi Zhao, Rong Wang, Zhaohu Xie and 1 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yundong Xu *Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Qianqian Yang *Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Jian Zhang *Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Jin XuYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Niqin XiaoYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Heguo YanYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Sanjin ZengYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Shengyi ZhaoYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Rong WangYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Zhaohu XieYunnan University of Chinese Medicine, Kunming, Yunnan, China.
Zhaofu LiYunnan University of Chinese Medicine, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knee osteoarthritis (KOA) is a prevalent musculoskeletal disorder and a major cause of pain and disability. As short-video platforms increasingly shape how the public accesses health information, concerns have grown regarding the quality, reliability, and completeness of KOA-related content. This study evaluated KOA-related videos on three major Chinese short-video platforms, TikTok, Kwai, and Bilibili, to compare information quality, user engagement, and implications for digital public health communication. Methods: In this cross-sectional study, standardized Chinese keywords were used to retrieve KOA-related videos from TikTok, Kwai, and Bilibili on December 24, 2025. After deduplication and screening, 300 videos were included, 100 from each platform. Video characteristics and engagement indicators were recorded. Information quality was assessed using the DISCERN reliability section, Global Quality Score (GQS), content completeness score (CS, range 0-10), and engagement score (ES, range 0-4). Uploaders were categorized by source type. Statistical analyses included the Kruskal-Wallis H test, chi-square test, and Spearman correlation analysis. Results: Substantial cross-platform differences were identified. Bilibili videos had the longest duration (median 402 s) and the highest information quality, with superior DISCERN scores (median 32), GQS (mean 4.3), and CS (mean 7), and had the highest proportion of certified medical professionals among uploaders (38.0%). TikTok videos were the shortest (median 86 s) but showed the highest user engagement, including likes, comments, shares, and the highest ES (median 3.6). TikTok and Kwai videos were generally less complete, focusing mainly on symptoms and treatment while providing limited information on etiology and prognosis. Correlation analysis showed that higher information quality and completeness were negatively associated with user interaction metrics, whereas ES was positively associated with engagement. Conclusions: The three major short-video platforms in China represent distinct digital health information ecosystems for KOA, revealing a consistent trade-off between scientific rigor and audience engagement. Platform recommendation mechanisms may may preferentially surface content that is more attractive and interactive rather than more accurate and comprehensive. These findings highlight an important public health challenge in the governance of online health information and suggest that improving chronic disease communication on social media will require both stronger platform-level quality prioritization and more engaging evidence-based content produced by health professionals.

Indexed as

Chinahealth communicationinformation disseminationknee osteoarthritissocial mediavideo recording

Identifiers

PMID42866113
PMCPMC13656910

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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.