使用质量评估评分工具（QUEST）评估谷歌上的新冠疫情健康信息：横断面研究与可读性分析
Assessing COVID-19 Health Information on Google Using the Quality Evaluation Scoring Tool (QUEST): Cross-sectional and Readability Analysis.
作者信息
Bachu Vismaya S, Mahjoub Heba, Holler Albert E, Crihalmeanu Tudor, Bachu Dheevena M, Ayyaswami Varun, Parker Pearman D, Prabhu Arpan V
机构信息
School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
School of Medicine, West Virginia University, Morgantown, WV, United States.
出版信息
JMIR Form Res. 2022 Feb 11;6(2):e32443. doi: 10.2196/32443.
BACKGROUND
The COVID-19 pandemic spurred an increase in online information regarding disease spread and symptomatology.
OBJECTIVE
Our purpose is to systematically assess the quality and readability of articles resulting from frequently Google-searched COVID-19 terms in the United States.
METHODS
We used Google Trends to determine the 25 most commonly searched health-related phrases between February 29 and April 30, 2020. The first 30 search results for each term were collected, and articles were analyzed using the Quality Evaluation Scoring Tool (QUEST). Three raters scored each article in authorship, attribution, conflict of interest, currency, complementarity, and tone. A readability analysis was conducted.
RESULTS
Exactly 709 articles were screened, and 195 fulfilled inclusion criteria. The mean article score was 18.4 (SD 2.6) of 28, with 7% (14/189) scoring in the top quartile. National news outlets published the largest share (70/189, 36%) of articles. Peer-reviewed journals attained the highest average QUEST score compared to national/regional news outlets, national/state government sites, and global health organizations (all P<.05). The average reading level was 11.7 (SD 1.9, range 5.4-16.9). Only 3 (1.6%) articles were written at the recommended sixth grade level.
CONCLUSIONS
COVID-19-related articles are vastly varied in their attributes and levels of bias, and would benefit from revisions for increased readability.
背景
2019年冠状病毒病（COVID-19）大流行促使有关疾病传播和症状的在线信息增加。
目的
我们的目的是系统评估在美国因谷歌搜索频率高的COVID-19术语而产生的文章的质量和可读性。
方法
我们使用谷歌趋势确定了2020年2月29日至4月30日期间最常搜索的25个与健康相关的短语。收集每个术语的前30个搜索结果，并使用质量评估评分工具（QUEST）对文章进行分析。三名评分者对每篇文章的作者身份、归因、利益冲突、时效性、互补性和语气进行评分。进行了可读性分析。
结果
共筛选了709篇文章，195篇符合纳入标准。文章平均得分为28分中的18.4分（标准差2.6），7%（14/189）的文章得分在前四分位。全国性新闻机构发表的文章占比最大（70/189，36%）。与全国/地区新闻机构、国家/州政府网站和全球卫生组织相比，同行评审期刊的QUEST平均得分最高（所有P<0.05）。平均阅读水平为11.7（标准差1.9，范围5.4-16.9）。只有3篇（1.6%）文章的写作水平达到了推荐的六年级水平。
结论
与COVID-19相关的文章在属性和偏倚程度上差异很大，提高可读性的修订将使其受益。
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