Evidence map›Paper›PMID 42599339›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Content quality and reliability of mental health videos for cancer patients on social media platforms: a cross-sectional study.

Chuhan Zhong, Shan Huang, Jing Chi, Bingqian Guo, Jianyao Tang, Yanni Wu

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 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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5 · Who and what money

Authors and funding

6 authors.

Chuhan ZhongNanfang Hospital, Southern Medical University, Guangzhou, China.
Shan HuangDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Jing ChiNanfang Hospital, Southern Medical University, Guangzhou, China.
Bingqian GuoNanfang Hospital, Southern Medical University, Guangzhou, China.
Jianyao TangNanfang Hospital, Southern Medical University, Guangzhou, China.
Yanni WuNanfang Hospital, Southern Medical University, Guangzhou, China. yanniwuSMU@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer patients are increasingly turning to social media, an indispensable source of health information, for mental health support. However, the quality and reliability of widely available mental health videos remain largely unevaluated. This study aimed to systematically evaluate and compare the quality and reliability of mental health videos on social media platforms.

methodsA cross-sectional study was conducted. We systematically searched and screened the top 100 videos for each of three topics (mindfulness, relaxation techniques, music therapy) on both YouTube and TikTok. Video characteristics, uploader identity, and content format were classified using a standardized framework. Two independent raters assessed video quality using the Global Quality Scale (GQS) and reliability using the modified DISCERN (mDISCERN) instrument. Statistical analyses included Kruskal-Wallis H tests with post-hoc comparisons and K-means clustering analysis.

resultsA total of 600 mental health-related videos screened. Ultimately, 450 eligible videos (187 from YouTube, 263 from TikTok) were included for analysis. YouTube's ecosystem was more institutional, while TikTok was dominated by general users. Videos from healthcare professionals (doctors and non-physician mental health professionals) demonstrated significantly higher reliability scores on both platforms. Regarding audience engagement, highly popular videos on YouTube exhibited significantly lower reliability, whereas engagement and quality were unrelated on TikTok. Content format performance was platform-specific; integrated guidance was reliable on YouTube but scored lowest on TikTok (GQS, p = 0.001 vs practical guidance). Music therapy videos were consistently the lowest-performing topic.

conclusionWhile healthcare professionals are the most reliable sources of mental health information on both YouTube and TikTok, their content is not necessarily the most visible or engaging. The disconnect between popularity and informational quality highlights the need for critical media literacy among patients and calls for platform-level innovations to prioritise reliable health information.

trial registrationNot applicable.

Indexed as

Mental HealthNeoplasmsSocial MediaVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsCancer patientsEducationMental healthPublic healthSocial media

Identifiers

PMID42599339

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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 Socratic graph.