Daraz Lubna, Dogu Cicek
School of Library and Information Science, Faculty of Arts and Sciences, University of Montreal, Montreal, Quebec, Canada.
J Patient Exp. 2025 Jan 31;12:23743735241309468. doi: 10.1177/23743735241309468. eCollection 2025.
The quality of online health information remains one of the leading causes in combating misinformation for patients and the public. However, assessing online health content is challenging for those without medical expertise. This article briefly outlines the development and validation of an evidence-based online health information evaluation tool. A systematic approach with five phases was adopted: (1) synthesizing the current state of the reliability of online health information, (2) conducting content analysis of existing quality assessment tools, (3) drafting a comprehensive list of quality criteria, (4) developing and validating a quality benchmark, and (5) disseminating the results. Collaborative input from healthcare providers, patients, caregivers, and the public developed and validated a quality benchmark. The quality benchmark consists of 5 quality criteria and 8 accompanying descriptions that define each quality criterion. A printable version of the benchmark is provided in the article to facilitate easy implementation by both patients and healthcare providers. The benchmark is recommended for use and intended to empower patients with a skill set to navigate through online misinformation, facilitating access to credible health information and promoting improved health outcomes.
在线健康信息的质量仍然是患者和公众对抗错误信息的主要原因之一。然而,对于没有医学专业知识的人来说,评估在线健康内容具有挑战性。本文简要概述了一种基于证据的在线健康信息评估工具的开发和验证过程。采用了一个分五个阶段的系统方法:(1)综合在线健康信息可靠性的当前状况,(2)对现有质量评估工具进行内容分析,(3)起草一份全面的质量标准清单,(4)制定和验证质量基准,以及(5)传播结果。医疗保健提供者、患者、护理人员和公众的协作投入制定并验证了质量基准。该质量基准由5个质量标准和8个伴随描述组成,这些描述定义了每个质量标准。文章中提供了该基准的可打印版本,以便患者和医疗保健提供者都能轻松实施。建议使用该基准,旨在使患者具备一套技能,以应对在线错误信息,便于获取可靠的健康信息并促进改善健康结果。