Adam Terrence J, Vang Joseph
Institute for Health Informatics, University of Minnesota, Minneapolis, MN; College of Pharmacy, University of Minnesota, Minneapolis, MN.
College of Liberal Arts, University of Minnesota, Minneapolis, MN.
AMIA Annu Symp Proc. 2015 Nov 5;2015:287-96. eCollection 2015.
Drug-Drug Interactions (DDI) are an important source of preventable adverse drug events and a common reason for hospitalization among patients on multiple drug therapy regimens. DDI information systems are important patient safety tools with the capacity to identify and warn health professionals of clinically significant DDI risk. While substantial research has been completed on DDI information systems in professional settings such as community, hospital, and independent pharmacies; there has been limited research on DDI systems offered through online websites directly for use by ambulatory patients. The focus of this project is to test patient oriented website capacity to correctly identify drug interactions among well established and clinically significant medication combinations and convey clinical risk data to patients. The patient education capability was assessed by evaluating website Information Capacity, Patient Usability and Readability. The study results indicate that the majority of websites identified which met the inclusion and exclusion criteria operated similarly, but vary in risk severity assessment and are not optimally patient oriented to effectively deliver risk information. The limited quality of information and complex medical term content complicate DDI risk data conveyance and the sites may not provide optimal information delivery to allow medication consumers to understand and manage their medication regimens.
药物相互作用（DDI）是可预防的药物不良事件的重要来源，也是接受多种药物治疗方案的患者住院的常见原因。DDI信息系统是重要的患者安全工具，能够识别并向医疗专业人员警示具有临床意义的DDI风险。虽然在社区、医院和独立药房等专业环境中，针对DDI信息系统已经完成了大量研究；但对于直接供门诊患者使用的在线网站所提供的DDI系统，相关研究却很有限。本项目的重点是测试面向患者的网站正确识别既定且具有临床意义的药物组合之间药物相互作用，并向患者传达临床风险数据的能力。通过评估网站的信息容量、患者易用性和可读性来评估患者教育能力。研究结果表明，大多数符合纳入和排除标准的已识别网站运作方式相似，但在风险严重程度评估方面存在差异，并且并非以患者为导向进行优化，无法有效提供风险信息。信息质量有限以及医学术语内容复杂，使得DDI风险数据的传达变得复杂，这些网站可能无法提供最佳信息传递，以使药物消费者理解并管理他们的用药方案。
