Introduction Gastroesophageal reflux disease (GERD) affects a substantial portion of the global population, resulting in significant morbidity and impacting the quality of life. YouTube (YouTube, San Bruno, California) serves as a platform where medical professionals, individuals with personal experiences, and educational channels share their insights on GERD. However, with the vast amount of information available on YouTube, the question of credibility and reliability is a concern and, thus, is crucial to evaluate. This research paper aims to explore the impact of YouTube as a source of information on GERD. The aim of this study is to assess the quality and reliability of the information on YouTube about GERD. Methodology This cross-sectional observational study was conducted in June 2023. A questionnaire was designed using Google Forms (Google, Mountain View, California) with predetermined criteria such as characteristics of YouTube videos (time since uploaded, uploader, number of likes and comments); information about GERD (symptoms, investigations, treatment); and quality and reliability of information on YouTube about GERD using Global Quality Scale (GQS) and Reliability score. The Kruskal-Wallis Test was used to evaluate the difference in quality and reliability of information about GERD on YouTube based on the type of uploader. Results Out of 90 videos analyzed, 68 YouTube videos on GERD that met inclusion criteria were included in the study. The number of videos uploaded by hospitals was 28 (41.2%), those by doctors was 12 (17.6%), and the remaining by others (like pharmacists, patients, and non-medical personnel) was 28 (41.2%). A significant proportion of videos (88.24%) shared information pertaining to disease symptoms and cause/etiology. The videos uploaded by "others" had significantly higher (p<0.05) reach as assessed by the Video Power Index (VPI) compared to those uploaded by doctors and hospitals. However, there was no significant difference (>0.05) in the quality and reliability of videos uploaded by doctors, hospitals, and other sources. Conclusion Although the YouTube videos uploaded by doctors and hospitals had less reach among viewers compared to other uploaders (patients, news agencies, pharmaceutical companies, and others unrelated to healthcare), the quality and reliability of videos uploaded by doctors, hospitals, and other uploaders were of good quality and reliability and with no significant difference based on type of uploader. Healthcare organizations and government agencies should ensure that viewers have access to accurate and reliable information from social media like YouTube, which is crucial in their health decision-making.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10732335 | PMC |
http://dx.doi.org/10.7759/cureus.49118 | DOI Listing |
Anal Chim Acta
January 2025
Department of Quality Control Material R&D, Shanghai Center for Clinical Laboratory, Shanghai, PR China; Department of Molecular Biology, Shanghai Center for Clinical Laboratory, Shanghai, PR China; Department of Molecular Diagnostic Innovation Technology, Shanghai Academy of Experimental Medicine, Shanghai, PR China. Electronic address:
Background: The current pandemic of 2022 global mpox (formerly known as monkeypox), caused by infection with monkeypox virus (MPXV), has now reached over 120 countries. This constitutes a critical public health issue requiring effective disease management and surveillance. Rapid and reliable diagnosis is conducive to the control of infection, early intervention, and timely treatment.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
MD/PhD Program, Yale School of Medicine, New Haven, CT, USA.
Background: Diversity in the physician workforce is critical for quality patient care. Students from low-income backgrounds represent an increasing proportion of medical school matriculants, yet little research has addressed their medical school experiences.
Objective: To explore the medical school experiences of students from low-income backgrounds using a modified version of Maslow's Hierarchy of Needs (physiologic, safety, love/belonging, esteem, and self-actualization) as a theoretical framework.
Anal Chim Acta
January 2025
Christian Doppler Laboratory for Innovative Gut Health Concepts of Livestock, Austria; BOKU University, Vienna, Dept. IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Tulln, Austria.
Background: Untargeted metabolomics requires robust and reliable strategies for data processing to extract relevant information form the underlying raw data. Multiple platforms for data processing are available, but the choice of software tool can have an impact on the analysis. This study provides a comprehensive evaluation of four workflows based on commonly used metabolomics software tools: XCMS, Compound Discoverer, MS-DIAL, and MZmine.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
University of Electronic Science and Technology of China, Chengdu, Sichuan, China. Electronic address:
In this study, we developed an Evidential Ensemble Neural Network based on Deep learning and Diffusion MRI, namely DDEvENet, for anatomical brain parcellation. The key innovation of DDEvENet is the design of an evidential deep learning framework to quantify predictive uncertainty at each voxel during a single inference. To do so, we design an evidence-based ensemble learning framework for uncertainty-aware parcellation to leverage the multiple dMRI parameters derived from diffusion MRI.
View Article and Find Full Text PDFNoise Health
January 2025
Department of Otolaryngology, Head and Neck Surgery, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde 415000, Hunan, China.
Objective: In this study, the research team aimed to explore the therapeutic effectiveness of hyperbaric oxygen therapy (HBOT) for noise-induced hearing loss (NIHL), its influence on patient prognosis, and its impact on hearing to provide valuable clinical evidence.
Methods: Ninety-four patients with NIHL admitted to The First People's Hospital of Changde City, Hunan, China, from May 2021 to January 2023 were selected for this retrospective analysis. Among them, 43 were given conventional treatment (control group) and 51 were given HBOT (observation group).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!