American journal of clinical pathology · 2026
Pathology goes viral: a qualitative review of #pathology content on TikTok.
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Jepkema Riley, Herman Meredith, Gadasalli Sanjay, Hacking Sean, Kochanowski Julia, Schukow Casey, Mirza Kamran
Аннотация
OBJECTIVES: The use of #pathology and #pathologist is increasing on TikTok, a short-form video platform with over 1 billion users. As of July 2024, #pathology had over 21 000 posts and 468 million views, while #pathologist had over 3000 posts. It could be a useful tool for education and recruitment if the content is accurate and engaging.
METHODS: To assess the accuracy, engagement, and educational value of this growing content, we conducted a cross-sectional study analyzing 105 English-language TikTok videos identified using these keywords over a 72-hour period. Videos were evaluated using the Patient Education Assessment Tool for audiovisual material (PEMAT-AV) for audiovisual quality, the Global Quality Scale (GQS) for overall content quality, and a modified JAMA benchmark score for information accountability. Additionally, a harm-benefit score categorized educational impact.
RESULTS: Statistical analysis revealed that educational content demonstrated significantly higher quality scores on GQS (P = .0001) and PEMAT-AV (P = .0007) than other content types. In contrast, medical profile type was associated with higher PEMAT-AV (P = .0147), JAMA (P = .0332), and harm-benefit (P = .0004) scores.
CONCLUSIONS: While the volume of pathology-specific content is currently limited, the high average engagement metrics-298 100 followers, 1.5 million views, and 67 884 likes per video-indicate substantial user interest. The higher-quality scores for educational and medical content suggest that pathology content creators are generally knowledgeable and accurately represent the field on TikTok, highlighting TikTok's potential as a valuable platform for disseminating reliable pathology-related information.
METHODS: To assess the accuracy, engagement, and educational value of this growing content, we conducted a cross-sectional study analyzing 105 English-language TikTok videos identified using these keywords over a 72-hour period. Videos were evaluated using the Patient Education Assessment Tool for audiovisual material (PEMAT-AV) for audiovisual quality, the Global Quality Scale (GQS) for overall content quality, and a modified JAMA benchmark score for information accountability. Additionally, a harm-benefit score categorized educational impact.
RESULTS: Statistical analysis revealed that educational content demonstrated significantly higher quality scores on GQS (P = .0001) and PEMAT-AV (P = .0007) than other content types. In contrast, medical profile type was associated with higher PEMAT-AV (P = .0147), JAMA (P = .0332), and harm-benefit (P = .0004) scores.
CONCLUSIONS: While the volume of pathology-specific content is currently limited, the high average engagement metrics-298 100 followers, 1.5 million views, and 67 884 likes per video-indicate substantial user interest. The higher-quality scores for educational and medical content suggest that pathology content creators are generally knowledgeable and accurately represent the field on TikTok, highlighting TikTok's potential as a valuable platform for disseminating reliable pathology-related information.