Evidence mapPaperPMID 42327635Full record

ArticleDigital health

The pivotal role of video duration in health science popularization: A mixed-methods analysis integrating machine learning and fuzzy-set qualitative comparative analysis.

Xueping Jiao, Xingyu Liu, Mengting Liu, Yueting Wang, Shuhan Yang, Xueqin Yang, Yuhuan Xie, Yufang Guo, Fanghong Yan, Yanan Zhang

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Article 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.

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1 · What the graph read from it

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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.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xueping JiaoSchool of Nursing, Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0009-0003-0841-6481
Xingyu LiuSchool of Nursing, Lanzhou University, Lanzhou, China.
Mengting LiuSchool of Nursing, Lanzhou University, Lanzhou, China.
Yueting WangSchool of Nursing, Lanzhou University, Lanzhou, China.
Shuhan YangSchool of Nursing, Lanzhou University, Lanzhou, China.
Xueqin YangSchool of Nursing, Lanzhou University, Lanzhou, China.
Yuhuan XieSchool of Nursing, Lanzhou University, Lanzhou, China.
Yufang GuoSchool of Nursing, Lanzhou University, Lanzhou, China.
Fanghong YanSchool of Nursing, Lanzhou University, Lanzhou, China.
Yanan ZhangSchool of Nursing, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Short video platforms have become important channels for the public to obtain health information, but the quality of health science popularization content varies greatly. Existing studies lack a comprehensive exploration of the determinants of video quality and their interaction mechanisms. Objective: This study aimed to identify the key features influencing the quality of cerebrovascular disease health science popularization short videos and clarify their configurational effects. Methods: Python web-crawling technology was used to collect health science popularization short videos on TikTok related to cerebrovascular diseases over the past year, and the video quality was evaluated using the Grade Quality Score (GQS) tool by two medical professionals. Eight machine learning models were constructed to identify key quality-related features. The joint effect of six features was analyzed for necessity and sufficiency by using the fuzzy set qualitative comparative analysis (fsQCA) method. Finally, the Results: A total of 541 valid videos were collected. Most videos were posted by medical staff (77.27%), among which high-quality videos (with GQS > 3) accounted for 14.42%. The importance of video duration reached 30.5%, making it the most crucial feature affecting video quality. The fsQCA results indicated that short duration was one of the conditions for high-quality videos, with the optimal duration being 3 to 5 minutes. Conclusions: Video duration was the main determinant of the quality of cerebrovascular disease health science popularization short videos. Improving the short-video communication skills of medical professionals and optimizing video duration are effective ways to enhance the quality of health science popularization content.

Indexed as

fuzzy-set qualitative comparative analysishealth science popularizationmachine learning algorithmsvideo durationvideo quality

Identifiers

PMID42327635
PMCPMC13280039

What Socratic holds

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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.