Evidence map›Paper›PMID 42286504›Full record

ArticleBMC public health2026

Quality and reliability of short videos about long COVID on bilibili and tiktok: cross-sectional study under health community construction background in China.

Xianyu Xie, Zijun Zhao, Qinde Wu

Abstract read
In one paragraph

Article in BMC public 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xianyu Xie *Medical Administration Department, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou City, Fujian Province, 350001, China.
Zijun Zhao *School of Public Administration & Law, Fujian Agriculture and Forestry University, No.15 Shangxiadian Road, Fuzhou City, Fujian Province, 350002, China.
Qinde Wu *Education Department, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou City, Fujian Province, 350001, China. qdwu88@126.com.

Funding

National Social Science Fund of China 24CGL133
6 · The paper itself

Abstract

backgroundLong COVID, characterized by persistent symptoms such as fatigue and cognitive impairment, continues to pose a global public health burden. Bilibili and TikTok are major platforms for public health information; however, the lack of systematic evaluation contributes to low-quality information and may hinder effective health management. We aimed to evaluate the quality and reliability of long COVID-related videos on these platforms.

methodsThis cross-sectional study analyzed long COVID-related videos from Bilibili and TikTok. Inter-rater reliability was assessed using Cohen's kappa coefficient. Quality and reliability were evaluated using the Global Quality Score (GQS) and modified DISCERN (mDISCERN). Multivariate linear regression was performed to identify the independent predictors of video quality.

resultsThe median GQS and mDISCERN scores were both significantly higher for Bilibili than for TikTok (P = 0.016 and P = 0.039, respectively). Professional-source videos showed significantly higher quality than non-professional ones (P < 0.001). Regression analyses revealed that a professional source was the strongest independent predictor of both GQS and mDISCERN scores (all P < 0.001). Video duration and shares were significantly, albeit weakly, associated with the GQS, whereas other engagement metrics were not.

conclusionsThe overall quality of long COVID videos was suboptimal. Professional source was the primary independent predictor of higher quality, while engagement and duration showed limited influence. Strengthening platform review mechanisms and promoting evidence-based information are needed to improve public health communication.

Indexed as

COVID-19Video RecordingChinaCross-Sectional StudiesDigital MediaHumansPost-Acute COVID-19 SyndromeReproducibility of ResultsBilibiliContent reliabilityGlobal Quality Score (GQS)Health information qualityLong COVIDModified DISCERN (mDISCERN)Professional sourcesShort-video platformsTikTokUser engagement

Identifiers

PMID42286504
PMCPMC13531893

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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.