Rozich J D, Haraden C R, Resar R K
Luther Midelfort, Mayo Health System, Eau Claire, WI 54703, USA.
Qual Saf Health Care. 2003 Jun;12(3):194-200. doi: 10.1136/qhc.12.3.194.
Adverse drug events continue to be the single most frequent source of healthcare mishaps, continually placing patients at risk of injury. This is not unexpected, given that drug treatment is the most common medical intervention and medication use is a highly complex, multidisciplinary, and largely manual process. Assessing the actual safety of drug use has been historically difficult, mainly because traditional methods such as chart audits and voluntary reporting of data have been shown to be expensive, insensitive, and largely ineffective for detecting mistakes in drug administration and drug related adverse clinical events (ADEs). Computerized methods for detecting ADEs, employing sentinel words or "triggers" in a patient's medical record, are effective but expensive and require customized software linkage to pharmacy databases. This paper describes the use of the "trigger tool", a relatively low cost and "low tech" modification of the automated technique. The adapted technique appears to increase the rate of ADE detection approximately 50-fold over traditional reporting methodologies.
药物不良事件仍然是医疗事故最常见的单一来源,持续将患者置于受伤风险之中。鉴于药物治疗是最常见的医疗干预措施,且用药是一个高度复杂、多学科且主要靠人工操作的过程,出现这种情况并不意外。从历史上看,评估药物使用的实际安全性一直很困难,主要是因为诸如病历审核和数据自愿报告等传统方法已被证明成本高昂、不够敏感,而且在检测药物给药错误和药物相关不良临床事件(ADEs)方面基本上无效。利用患者病历中的哨兵词或“触发因素”来检测ADEs的计算机化方法虽然有效,但成本高昂,且需要定制软件与药房数据库相连接。本文描述了“触发工具”的使用,这是对自动化技术进行的一种成本相对较低且“技术含量不高”的改进。与传统报告方法相比,这种改进后的技术似乎能将ADEs的检测率提高约50倍。