Université catholique de Louvain, CHU Mont-Godinne Dinant, Yvoir, Belgium.
Ann Pharmacother. 2013 Nov;47(11):1414-9. doi: 10.1177/1060028013500939.
Medication-related harm can be detected using the adverse drug event (ADE) trigger tool and the medication module of the Global Trigger Tool (GTT) developed by the Institute for Healthcare Improvement (IHI). In recent years, there has been some controversy on the performance of this method. In addition, there are limited data on the performance of the medication module of the GTT as compared with the ADE trigger tool.
To evaluate the performance of the ADE trigger tool and of the medication module of the GTT for identifying ADEs.
The methodology of the IHI was used. A random sample of 20 adult admissions per month was selected over a 12-month period in a teaching hospital in Belgium. The ADE trigger tool was adapted to the Belgian setting and included 20 triggers. The positive predictive value (PPV) of each trigger was calculated, as well as the proportion of ADEs that would have been identified with the medication module of the GTT as compared with the ADE trigger tool.
A total of 200 triggers and 62 ADEs were found, representing 26 ADEs/100 admissions. Nineteen ADEs (31%) were found spontaneously without the presence of a trigger. Three triggers never occurred. The PPVs of other triggers varied from 0 to 0.67, with half of them having PPVs less than 0.20. If we had used the medication triggers included in the GTT (n = 11), we would have identified 77% of total ADEs and 67% of preventable ADEs.
Applying the trigger tool method proposed by the IHI to a Belgian hospital led to the identification of one ADE out of 4 admissions. To increase performance, refining the list of triggers in the ADE trigger tool and in the medication module of the GTT would be needed. Recording nontriggered events should be encouraged.
可以使用药物不良事件(ADE)触发工具和由医疗改善研究所(IHI)开发的全球触发工具(GTT)的药物模块来检测与用药相关的伤害。近年来,这种方法的性能存在一些争议。此外,与 ADE 触发工具相比,GTT 的药物模块的性能数据有限。
评估 ADE 触发工具和 GTT 的药物模块识别 ADE 的性能。
采用 IHI 的方法。在比利时的一所教学医院,在 12 个月的时间内,每月随机选择 20 名成年住院患者。对 ADE 触发工具进行了改编,使其适用于比利时的情况,并包括 20 个触发器。计算了每个触发器的阳性预测值(PPV),以及与 ADE 触发工具相比,GTT 的药物模块会识别出的 ADE 比例。
共发现 200 个触发器和 62 个 ADE,每 100 次入院中有 26 个 ADE。19 个 ADE(31%)是在没有触发的情况下自发发现的。有 3 个触发器从未发生过。其他触发器的 PPV 从 0 到 0.67 不等,其中一半的 PPV 小于 0.20。如果我们使用了 GTT 中包含的药物触发因素(n=11),我们将能够识别出 77%的总 ADE 和 67%的可预防 ADE。
将 IHI 提出的触发工具方法应用于比利时医院,导致每 4 次入院中就有 1 次发生 ADE。为了提高性能,需要细化 ADE 触发工具和 GTT 的药物模块中的触发器列表。应鼓励记录未触发的事件。