ArticleDigital health
Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Article
- Peer Support for Chronic Pain in Online Health Communities: Quantitative Study on the Dynamics of Social Interactions in a Chronic Pain Forum.Journal of medical Internet research · 2024Article
- Quality of healthcare information on YouTube: psoriatic arthritis.Zeitschrift fur Rheumatologie · 2023Article
- The Internet Knows More Than My Physician: Qualitative Interview Study of People With Rare Diseases and How They Use Online Support Groups.Journal of medical Internet research · 2022Article
- Applications of Digital Health Technologies in Knee Osteoarthritis: Narrative Review.JMIR rehabilitation and assistive technologies · 2022Review
- YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.JMIR public health and surveillance · 2020Article
- Quality of Information Available on YouTube Videos Pertaining to Thyroid Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020Article
- What does digitalization hold for the creation of real-world evidence?Rheumatology (Oxford, England) · 2020Review
- Pharmacy students can improve access to quality medicines information by editing Wikipedia articles.BMC medical education · 2018Article
- Telehealth adoption during the COVID-19 pandemic: A social media textual and network analysis.Digital healthArticle
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThere is little research that characterises knee pain related information disseminated via social media. However, variances in the content and quality of such sources could compromise optimal patient care. This study explored the nature of the comments on YouTube videos related to non-specific knee pain, to determine their helpfulness to the users.
methodsA systematic search identified 900 videos related to knee pain on the YouTube database. A total of 3537 comments from 58 videos were included in the study. A categorisation scheme was developed and 1000 randomly selected comments were analysed according to this scheme.
resultsThe most common category was the users providing personal information or describing a personal situation (19%), followed by appreciation or acknowledgement of others' inputs (17%) and asking questions (15%). Of the questions, 33% were related to seeking help in relation to a specific situation. Over 10% of the comments contained negativity or disagreement; while 4.4% of comments reported they intended to pursue an action, based on the information presented in the video and/or from user comments.
conclusionIt was observed that individuals commenting on YouTube videos on knee pain were most often soliciting advice and information specific to their condition. The analysis of comments from the most commented videos using a keyword-based search approach suggests that the YouTube videos can be used for disseminating general advice on knee pain.
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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 OpenQuestion graph.