Division of Addictology, Geneva University Hospitals, Rue verte, 2, 1205 Geneva, Switzerland.
Psychiatr Q. 2012 Mar;83(1):15-27. doi: 10.1007/s11126-011-9179-x.
Content quality indicators are warranted in order to help patients and consumers to judge the content quality of health-related on-line information. The aim of the present study is to evaluate web-based information on health topics and to assess particular content quality indicators like HON (Health on the Net) and DISCERN. The present study is based on the analysis of data issued from six previous studies which assessed with a standardized tool the general and content quality (evidence-based health information) of health-related websites. Keywords related to Social phobia, bipolar disorders, pathological gambling as well as cannabis, alcohol and cocaine addiction were entered into popular World Wide Web search engines. Websites were assessed with a standardized proforma designed to rate sites on the basis of accountability, presentation, interactivity, readability and content quality (evidence-based information). "Health on the Net" (HON) quality label, and DISCERN scale scores were used to verify their efficiency as quality indicators. Of 874 websites identified, 388 were included. Despite an observed association with higher content quality scores, the HON label fails to predict good content quality websites when used in a multiple regression. Sensibility and specificity of a DISCERN score >40 in the detection of good content quality websites were, respectively, 0.45 and 0.96. The DISCERN is a potential quality indicator with a relatively high specificity. Further developments in this domain are warranted in order to facilitate the identification of high-quality information on the web by patients.
内容质量指标是有保证的，以帮助患者和消费者判断与健康相关的在线信息的内容质量。本研究的目的是评估基于网络的健康主题信息，并评估特定的内容质量指标，如 HON（健康网络）和 DISCERN。本研究基于对之前六项研究的数据进行分析，这些研究使用标准化工具评估了与健康相关的网站的一般和内容质量（基于证据的健康信息）。输入与社交恐惧症、双相情感障碍、病态赌博以及大麻、酒精和可卡因成瘾相关的关键词，进入流行的万维网搜索引擎。使用标准化的格式表评估网站，根据可问责性、呈现、交互性、可读性和内容质量（基于证据的信息）对网站进行评分。使用“健康网络”（HON）质量标签和 DISCERN 量表评分来验证它们作为质量指标的效率。在确定的 874 个网站中，有 388 个网站被纳入研究。尽管 HON 标签与较高的内容质量评分相关，但在多元回归中，它不能预测具有良好内容质量的网站。DISCERN 评分>40 对良好内容质量网站的检测的敏感性和特异性分别为 0.45 和 0.96。DISCERN 是一种具有相对较高特异性的潜在质量指标。需要进一步发展这一领域，以便为患者在网络上识别高质量信息提供便利。
