YouTube-videos for patient education in lymphangioleiomyomatosis?

Author:

Wilkens Finn M.,Ganter Claudia,Kriegsmann Katharina,Wilkens Heinrike,Kahn Nicolas,Goobie Gillian C.,Ryerson Christopher J.,Kreuter Michael

Abstract

Abstract Background The Internet is commonly used by patients to acquire health information. To date, no studies have evaluated the quality of information available on YouTube regarding lymphangioleiomyomatosis (LAM). Our aim was to determine the quality and content of YouTube videos regarding LAM and to compare the information provided with current knowledge and guidelines about the disease. Methods The first 200 video hits on YouTube in English for the search term “lymphangioleiomyomatosis” were recorded. All videos suitable for patient education on LAM were included. Video quality was analyzed independently by two investigators utilizing the Health on the Net (HONcode) score, which assesses whether websites provide understandable, accessible, and trustworthy health information; the DISCERN score, which evaluates the quality of information about treatment decisions; and a newly developed LAM-related content score (LRCS) with 31 guideline elements. Results The search identified 64 eligible videos. The “engagement rate” of 0.3 was low, with a median number of views of 408 (range 42–73,943), a median of 4 likes (range 0–2082), and the majority (53%) receiving a low HONcode score (≤ 2) and only 10% of videos achieving a high score (> 5). The median DISCERN score was 28 (range 15–61, maximum possible score 80), indicating poor video quality and reliability. The median LRCS was 8 (range 0–29, maximum possible score 31) and videos frequently failed to provide sources of information. Conclusions Online resources could contribute to the limited and often inaccurate information available to patients with LAM, with only a few YouTube videos providing high-quality patient-relevant information.

Funder

Medizinische Fakultät Heidelberg der Universität Heidelberg

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3