ArticleJMIR diabetes2022
Content Quality of YouTube Videos About Gestational Diabetes: Systematic Evaluation.
Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03240874 (SweetMama Usability and Feasibility), which is not on this map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
SweetMama Usability and Feasibility: Testing of a Novel Technology for Diabetes Education and Support to Pregnant Women
Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
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- The quality of video information related to smoking cessation on mainstream short-video platforms in China: a cross-sectional study.BMC public health · 2026Article
- Online health information seeking preferences among pregnant women: a discrete choice experiment.Frontiers in public health · 2026Article
- Evaluating the Quality and Reliability of YouTube Videos Providing Nutritional Recommendations for Irritable Bowel Syndrome.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Article
- Perinatal Women's Perception of Maternal Health Information Quality on Digital Media: Scoping Review.Journal of medical Internet research · 2025Article
- YouTube User Traffic to Paired Epilepsy Education Videos in English and Spanish: Comparative Study.JMIR formative research · 2025Article
- Gout, TikTok and misleading information: a content analysis.Rheumatology advances in practice · 2025Article
- Information quality assessment and content analysis of dementia prevention on WeChat: a cross-sectional study.Frontiers in public health · 2025Article
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- Evaluating the quality and reliability of YouTube videos on scabies in children: A cross-sectional study.PloS one · 2024Article
- Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis.JMIR infodemiology · 2023Article
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- HbA1c AND E-HEALTH: YOUTUBE MIGHT BE GOOD FOR YOU, IF YOU USE IT WISELY.Acta endocrinologica (Bucharest, Romania : 2005)Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPeople with gestational diabetes have enhanced learning requirements during pregnancy, and management of their disease often requires the translation of health information into new health behavior changes. Seeking information from the internet to augment learning from health professionals is becoming more common during pregnancy. YouTube is a popular free and accessible web-based resource, which may be particularly useful for individuals with low health literacy or other barriers to receiving high-quality health care; however, the quality and content of YouTube videos varies, and little is known about those covering gestational diabetes.
objectiveWe aimed to systematically evaluate the quality, content, and reliability of YouTube videos about gestational diabetes.
methodsA systematic search of YouTube videos was conducted over the course of 1 week in April 2020 using the following keywords: "gestational diabetes," "gestational diabetes management," "gestational diabetes treatment," and "pregnancy and diabetes." The search results were displayed by relevance, replicating a default YouTube search attempt. The first 60 results from each keyword were reviewed (n=240). Exclusion criteria were videos unrelated to gestational diabetes, videos not in English, and those for which the full video was not available at the time of review. For each unique video, a gestational diabetes content score was used to rate video comprehensiveness and accuracy, and the DISCERN instrument, a validated metric to assess consumer health information, was used to evaluate the reliability of information presented. Videos were further categorized by quality: videos with DISCERN scores lower than 3 (out of 5) or a content score less than 4 (out of 7) were categorized as low quality, and all others were designated high quality. We performed descriptive analysis and compared video characteristics by source and quality rating.
resultsFor 115 unique videos, the mean content score (out of 7) was 3.5 (SD 2.0) , and the mean DISCERN score (out of 5) was 2.7 (SD 0.7), representing low to moderate information comprehensiveness and reliability respectively. Video sources were categorized as personal vlog (12/115, 10.4%), web-based education (37/115, 32.2%), medical (52/115, 45.2%), business or company (13/115, 11.3%), and media clip (1/115, 0.9%). DISCERN and content scores trended higher among medical and web-based education videos. The majority of videos (n=88) were categorized as low quality, while 27 videos were categorized as high quality. Video duration was longer for high-quality videos (P<.001); high- and low-quality videos otherwise had similar views and viewer interaction numbers.
conclusionsAlthough high-quality videos about gestational diabetes exist, reliability, accuracy, and comprehensiveness were low overall, and higher quality was not associated with increased viewer interaction. It is important to acknowledge the limitations of this platform and to assist patients in accessing high quality content and differentiating the quality of information sources.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.