Introduction Cardiovascular disease has one of the highest mortality rates and continues to grow. Therefore, it is important for the medical community to get involved in widespread patient education efforts. As technology has steadily advanced, YouTube (Google LLC, Mountain View, California, United States) has become a popular source for patients to gather medical information. In this study, we aim to assess the quality of YouTube videos pertaining to coronary artery disease.  Methods We searched the following key terms on June 20, 2023, using the view count filter: coronary artery disease, coronary artery disease treatment, cardiac catheterization, and coronary artery bypass grafting (CABG). The top twenty videos for each keyword were recorded. After videos that were over 20 minutes, non-English, procedural videos without words, and duplicates were excluded, forty-five videos remained. Each video was assessed by three viewers using the DISCERN criteria (http://www.discern.org.uk). Numerical data was averaged into composite scores. Two-sided t-tests and one-way analysis of variance (ANOVA) tests were used to compare mean ratings between groups. A Spearman correlation was done to compare each of the following terms to one another: overall quality of videos, total likes a video received, and total views.  Results The mean ratings for coronary artery disease, coronary artery disease treatment, cardiac catheterization, and CABG were 2.30, 2.60, 2.05, and 2.92, respectively, with an overall mean of 2.42. The means between coronary artery disease and coronary artery disease treatment were significantly different (p adj = 0.01). The overall rating for videos with board-certified physicians was significantly higher than those without a board-certified physician (p < 0.001). There was a low correlation between likes and overall ratings (0.03) and views and overall ratings (-0.068). Conclusion The videos on coronary artery disease, coronary artery disease treatment, cardiac catheterization, and CABG had poor overall quality based on DISCERN criteria. The overall ratings from videos with board physicians are higher than those from non-physicians, suggesting that physicians should be encouraged to create content about important medical conditions. There was also a low correlation between the overall quality of a video and the likes and views, respectively, indicating a disconnect between what the public values and the actual value of a video.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11265950PMC
http://dx.doi.org/10.7759/cureus.62986DOI Listing

Publication Analysis

Top Keywords

coronary artery
44
artery disease
36
disease coronary
16
disease treatment
16
treatment cardiac
12
cardiac catheterization
12
coronary
11
artery
11
videos
10
disease
10

Similar Publications

Background: Implementation of semaglutide weight loss therapy has been challenging due to drug supply and cost, underscoring a need to identify those who derive the greatest absolute benefit.

Objectives: Allocation of semaglutide was modeled according to coronary artery calcium (CAC) among individuals without diabetes or established atherosclerotic cardiovascular disease (CVD).

Methods: In this analysis, 3,129 participants in the MESA (Multi-Ethnic Study of Atherosclerosis) without diabetes or clinical CVD met body mass index criteria for semaglutide and underwent CAC scoring on noncontrast cardiac computed tomography.

View Article and Find Full Text PDF

Concordance and Accuracy of Pressure Wire-Derived Indices in Left Main Coronary Artery Disease.

JACC Cardiovasc Interv

December 2024

British Heart Foundation Centre of Research Excellence at the School of Cardiovascular Medicine and Sciences, King's College London, United Kingdom; Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom. Electronic address:

View Article and Find Full Text PDF

Objective: Coronary artery disease (CAD) is the leading cause of morbidity and mortality globally. The growing interest in natural language processing chatbots (NLPCs) has driven their inevitable widespread adoption in healthcare. The purpose of this study was to evaluate the accuracy and reproducibility of responses provided by NLPCs, such as ChatGPT, Gemini, and Bing, to frequently asked questions about CAD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!