Department of Rheumatology, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Int J Rheum Dis. 2020 Dec;23(12):1613-1618. doi: 10.1111/1756-185X.13929. Epub 2020 Aug 18.
Patients with rheumatic diseases are increasingly using internet-based information to inform healthcare utilization and make treatment decisions. Our aim was to assess the readability and quality of internet-based information on dermatomyositis (DM) and polymyositis (PM).
Key words "Dermatomyositis" and "Polymyositis" were searched on 3 commonly used search engines (Google, Yahoo and Bing). The first 3 pages (~30) of search results were examined from each search engine. Readability of information was assessed using 4 readability formulae (Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Simplified Measure of Gobbledygook index, the Coleman-Liau index). Quality of information was assessed using the DISCERN tool, Journal of The American Medical Association (JAMA) benchmark criteria and Health on The Net Code (HoN code). We also examined Google Trends data to determine if there were obvious temporal search patterns.
Thirty-two websites were included in the study after duplicates were removed and exclusion criteria were applied. The overall quality was low including DISCERN with a median overall score of 38/80 (interquartile range 12.25), only 4/32 (13%) websites fulfilled all 4 JAMA benchmark criteria, and 9/32 (28%) had HoN code. Readability of information was assessed using 4 readability formulae (Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Simplified Measure of Gobbledygook index, the Coleman-Liau index. There was no obvious temporal trend in searches on analysis of Google Trends data.
The overall quality and readability of internet-based information relating to DM and PM is poor. Patients require appropriate information of high quality and readability throughout the course of their disease in order to make informed decisions on their condition including treatment.
患有风湿性疾病的患者越来越多地使用基于互联网的信息来了解医疗保健的利用情况并做出治疗决策。我们的目的是评估皮肌炎（DM）和多发性肌炎（PM）的基于互联网的信息的可读性和质量。
在 3 个常用搜索引擎（Google、Yahoo 和 Bing）上搜索关键词“Dermatomyositis”和“Polymyositis”。从每个搜索引擎中检查前 3 页（约 30 页）的搜索结果。使用 4 种可读性公式（Flesch 阅读舒适度得分、Flesch-Kincaid 年级水平、简化的胡言乱语指数、Coleman-Liau 指数）评估信息的可读性。使用 DISCERN 工具、《美国医学会杂志》（JAMA）基准标准和《健康网络代码》（HoN 代码）评估信息的质量。我们还检查了 Google Trends 数据，以确定是否存在明显的时间搜索模式。
删除重复项并应用排除标准后，共纳入 32 个网站进行研究。整体质量较低，包括 DISCERN，总得分中位数为 38/80（四分位距 12.25），只有 4/32（13%）的网站满足所有 4 个 JAMA 基准标准，9/32（28%）的网站符合 HoN 代码。使用 4 种可读性公式（Flesch 阅读舒适度得分、Flesch-Kincaid 年级水平、简化的胡言乱语指数、Coleman-Liau 指数）评估信息的可读性。在分析 Google Trends 数据时，没有明显的时间搜索趋势。
与 DM 和 PM 相关的基于互联网的信息的整体质量和可读性都很差。患者在疾病过程中需要获得高质量和可读性的适当信息，以便就其病情包括治疗做出明智的决策。
