Is YouTube a sufficient source of information on Sarcoidosis? Article Swipe
Katharina Buschulte
,
Sarah El-Hadi
,
Philipp Höger
,
Claudia Ganter
,
Marlies Wijsenbeek
,
Nicolas Kahn
,
Katharina Kriegsmann
,
G.C. Goobie
,
Christopher J. Ryerson
,
Markus Polke
,
Franziska Trudzinski
,
Michael Kreuter
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s12931-024-02956-2
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s12931-024-02956-2
Background The internet is a common source of health information for patients and caregivers. To date, content and information quality of YouTube videos on sarcoidosis has not been studied. The aim of our study was to investigate the content and quality of information on sarcoidosis provided by YouTube videos. Methods Of the first 200 results under the search term “sarcoidosis,” all English-language videos with content directed at patients were included. Two independent investigators assessed the content of the videos based on 25 predefined key features (content score with 0–25 points), as well as reliability and quality (HONCode score with 0–8 points, DISCERN score with 1–5 points). Misinformation contained in the videos was described qualitatively. Results The majority of the 85 included videos were from an academic or governmental source ( n = 63, 74%), and median time since upload was 33 months (IQR 10–55). Median video duration was 8 min (IQR 3–13) and had a median of 2,044 views (IQR 504 − 13,203). Quality assessment suggested partially sufficient information: mean HONCode score was 4.4 (SD 0.9) with 91% of videos having a medium quality HONCode evaluation. Mean DISCERN score was 2.3 (SD 0.5). Video content was generally poor with a mean of 10.5 points (SD 0.6). Frequently absent key features included information on the course of disease (6%), presence of substantial geographical variation (7%), and importance of screening for extrapulmonary manifestations (11%). HONCode scores were higher in videos from academic or governmental sources ( p = 0.003), particularly regarding “transparency of sponsorship” ( p < 0.001). DISCERN and content scores did not differ by video category. Conclusions Most YouTube videos present incomplete information reflected in a poor content score, especially regarding screening for extrapulmonary manifestations. Quality was partially sufficient with higher scores in videos from academic or governmental sources, but often missing references and citing specific evidence. Improving patient access to trustworthy and up to date information is needed.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12931-024-02956-2
- OA Status
- gold
- Cited By
- 2
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402357595
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402357595Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s12931-024-02956-2Digital Object Identifier
- Title
-
Is YouTube a sufficient source of information on Sarcoidosis?Work title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-09Full publication date if available
- Authors
-
Katharina Buschulte, Sarah El-Hadi, Philipp Höger, Claudia Ganter, Marlies Wijsenbeek, Nicolas Kahn, Katharina Kriegsmann, G.C. Goobie, Christopher J. Ryerson, Markus Polke, Franziska Trudzinski, Michael KreuterList of authors in order
- Landing page
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https://doi.org/10.1186/s12931-024-02956-2Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1186/s12931-024-02956-2Direct OA link when available
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Misinformation, Sarcoidosis, Medicine, Quality Score, Upload, Quality (philosophy), The Internet, Computer science, Internal medicine, World Wide Web, Philosophy, Economics, Computer security, Epistemology, Operations management, Metric (unit)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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