回顾性研究药物不良事件发生率及诱发因素分析。

Aaseer Thamby Sam, Looi Li Lian Jessica, Subramani Parasuraman
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引用次数: 14

摘要

目的:回顾性分析患者病例表中药物不良事件(ADEs)的程度和类型,并确定导致用药错误的因素。分别使用世界卫生组织(WHO)概率量表和Hartwig量表评估因果关系和严重程度。方法:随机抽取100例患者病例表,使用改良版的卫生保健改善研究所(IHI)全局触发工具识别不良事件;分别采用WHO概率量表和Hartwig严重程度评估量表计算因果关系和严重程度。结果:使用IHI全球触发工具共确定了153例不良事件(ae)。不良反应(adr) 60例,治疗失败15例,用药过量7例,用药错误发生率最高(46.41%)。153例不良反应中,60例是由不良反应引起的,如皮疹、恶心和呕吐。治疗失败占ae总数的9.80%,而过量用药占153例ae总数的4.58%。使用触发工具,我们能够在36例患者记录中检测到45个阳性触发。其中,15例病例中发现不良事件19例。AE/100例患者的发生率为17%。平均ade /1000剂量为2.03%(计算)。结论:IHI全球触发工具是帮助临时注册药师快速识别ade的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A retrospective study on the incidences of adverse drug events and analysis of the contributing trigger factors.

A retrospective study on the incidences of adverse drug events and analysis of the contributing trigger factors.

A retrospective study on the incidences of adverse drug events and analysis of the contributing trigger factors.

A retrospective study on the incidences of adverse drug events and analysis of the contributing trigger factors.

Objectives: To retrospectively determine the extent and types of adverse drug events (ADEs) from the patient cases sheets and identify the contributing factors of medication errors. To assess causality and severity using the World Health Organization (WHO) probability scale and Hartwig's scale, respectively.

Methods: Hundred patient case sheets were randomly selected, modified version of the Institute for Healthcare Improvement (IHI) Global Trigger Tool was utilized to identify the ADEs; causality and severity were calculated utilizing the WHO probability scale and Hartwig's severity assessment scale, respectively.

Results: In total, 153 adverse events (AEs) were identified using the IHI Global Trigger Tool. Majority of the AEs are due to medication errors (46.41%) followed by 60 adverse drug reactions (ADRs), 15 therapeutic failure incidents, and 7 over-dose cases. Out of the 153 AEs, 60 are due to ADRs such as rashes, nausea, and vomiting. Therapeutic failure contributes 9.80% of the AEs, while overdose contributes to 4.58% of the total 153 AEs. Using the trigger tools, we were able to detect 45 positive triggers in 36 patient records. Among it, 19 AEs were identified in 15 patient records. The percentage of AE/100 patients is 17%. The average ADEs/1000 doses is 2.03% (calculated).

Conclusion: The IHI Global Trigger Tool is an effective method to aid provisionally-registered pharmacists to identify ADEs quicker.

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