YouTube上的急性心肌梗死——都是假新闻吗?

Inês Fialho , Marco Beringuilho , Daniela Madeira , João Baltazar Ferreira , Daniel Faria , Hilaryano Ferreira , David Roque , Miguel B. Santos , Carlos Morais , Victor Gil , João B. Augusto
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引用次数: 2

摘要

互联网是健康信息的一个基本方面。然而,缺乏质量控制会助长错误信息。我们的目标是评估在YouTube (www.youtube.com)上分享的葡萄牙语急性心肌梗死视频的相关性和质量。方法:我们分析了1000个视频,对应于YouTube上前100个搜索结果,使用以下术语(葡萄牙语):“心脏+骤停”;“心脏病+发作”;“心脏+血栓”;“冠状动脉+血栓”;“梗塞-脑”、“心肌+梗塞”、“急性+心肌+梗塞”。排除不相关(n=316)、重复(n=345)、无音频(n=24)或非葡萄牙语(n=106)视频。纳入的视频根据来源、主题、目标受众和科学不准确性进行评估。信息质量采用“网络健康代码”(HONCode从0到8)和“辨别”(从0到5)评分进行评估——得分越高,质量越好。结果共纳入242个视频。大多数来自独立教师(n=95, 39.0%),针对一般人群(n=202, 83.5%)。三分之一的视频(n=79)包含不准确信息,而科学协会和政府/卫生机构的视频没有不准确信息。平均视频质量较差或中等;只有一个视频质量好,没有任何不准确的地方。政府/卫生机构是视频质量最好的来源(HONCode 4±1,DISCERN 2±1)。结论三分之一的视频信息不相关,三分之一的相关视频信息不准确。平均视频质量很差;因此,制定策略以提高在线健康信息的质量是非常重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acute myocardial infarction on YouTube – is it all fake news?

Introduction and objectives

The Internet is a fundamental aspect of health information. However, the absence of quality control encourages misinformation. We aim to assess the relevance and quality of acute myocardial infarction videos shared on YouTube (www.youtube.com) in Portuguese.

Methods

We analyzed 1,000 videos corresponding to the first 100 search results on YouTube using the following terms (in Portuguese): “cardiac + arrest”; “heart + attack”; “heart + thrombosis”; “coronary + thrombosis”; “infarction – brain”, “myocardial + infarction” and “acute + myocardial + infarction”. Irrelevant (n=316), duplicated (n=345), without audio (n=24) or non‐Portuguese (n=106) videos were excluded. Included videos were assessed according to source, topic, target audience and scientific inaccuracies. Quality of information was assessed using The Health on the Net Code (HONCode from 0 to 8) and DISCERN (from 0 to 5) scores – the higher the score, the better the quality.

Results

242 videos were included. The majority were from independent instructors (n=95, 39.0%) and were addressed to the general population (n=202, 83.5%). One third of the videos (n=79) contained inaccuracies while scientific society and governmental/health institution videos had no inaccuracies. The mean video quality was poor or moderate; only one video was good quality without any inaccuracies. Governmental/health institutions were the source with the best quality videos (HONCode 4±1, DISCERN 2±1).

Conclusions

One third of the videos had irrelevant information and one third of the relevant ones contained inaccuracies. The average video quality was poor; therefore it is important to define strategies to improve the quality of online health information.

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