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开发并验证一种用于识别与药物相关的急诊科就诊的触发工具。

Development and Validation of a Trigger Tool for Identifying Drug-Related Emergency Department Visits.

机构信息

College of Pharmacy and Institute of Pharmaceutical Science and Technology, Hanyang University, Ansan 15588, Korea.

College of Pharmacy, Yeungnam University, Gyeongsan 38541, Korea.

出版信息

Int J Environ Res Public Health. 2021 Aug 13;18(16):8572. doi: 10.3390/ijerph18168572.

DOI:10.3390/ijerph18168572
PMID:34444320
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8391800/
Abstract

There are various trigger tools for detecting adverse drug events (ADEs), however, a drug-related emergency department (ED) visit trigger tool (DrEDTT) has not yet been developed. We aimed to develop and validate a DrEDTT with a multi-center cohort. In this cross-sectional study, we developed the DrEDTT consisting of 28 triggers through a comprehensive literature review and three phase expert group discussion. Next, we evaluated the performance of the DrEDTT by applying it to relevant medical records retrieved from four hospitals from January 2016 to June 2016. Two experts performed an in-depth chart review of a 25% of random sample of trigger flagged and unflagged ED visits and a true ADE was determined through causality assessment. Among 66,564 patients who visited the ED for reasons other than traffic accident and trauma during the study period, at least one trigger was found in 21,268 (32.0%) patients. A total of 959 true ADE cases (5.8%) were identified from a randomly selected 25% of ED visit cases. The overall positive predictive value was 14.0% (range: 8.3-66.7%). Sensitivity and specificity of DrEDTT were 77.7% and 70.4%, respectively. In conclusion, this newly developed trigger tool might be helpful to detect ADE-related ED visits.

摘要

目前已有多种用于检测药物不良事件(ADE)的触发工具,但尚未开发出与药物相关的急诊科(ED)就诊触发工具(DrEDTT)。我们旨在通过多中心队列研究开发和验证 DrEDTT。在这项横断面研究中,我们通过全面的文献回顾和三轮专家组讨论,制定了包含 28 个触发因素的 DrEDTT。接下来,我们将 DrEDTT 应用于从 2016 年 1 月至 6 月从 4 家医院中检索到的相关病历,以评估其性能。两名专家对 25%随机选择的标记和未标记的 ED 就诊触发病例进行了深入的图表审查,并通过因果关系评估确定了真实的 ADE。在研究期间,因非交通事故和创伤而到 ED 就诊的 66564 名患者中,有 21268 名(32.0%)患者至少存在一个触发因素。从随机选择的 25%ED 就诊病例中确定了总共 959 例真实的 ADE 病例(5.8%)。总体阳性预测值为 14.0%(范围:8.3-66.7%)。DrEDTT 的敏感性和特异性分别为 77.7%和 70.4%。总之,这种新开发的触发工具可能有助于检测与 ADE 相关的 ED 就诊。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ac3/8391800/97d36a3f7e15/ijerph-18-08572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ac3/8391800/97d36a3f7e15/ijerph-18-08572-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ac3/8391800/97d36a3f7e15/ijerph-18-08572-g001.jpg

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Ann Emerg Med. 2020 Aug;76(2):230-240. doi: 10.1016/j.annemergmed.2019.07.032. Epub 2019 Oct 14.
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Characterization and preventability of adverse drug events as cause of emergency department visits: a prospective 1-year observational study.描述和预防药物不良事件导致急诊就诊的情况:一项前瞻性的 1 年观察性研究。
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基于全球触发工具法对住院患者抗真菌不良事件进行主动监测。
Front Pharmacol. 2024 Jun 28;15:1322587. doi: 10.3389/fphar.2024.1322587. eCollection 2024.
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Establishing a trigger tool based on global trigger tools to identify adverse drug events in obstetric inpatients in China.建立基于全球触发工具的触发工具,以识别中国产科住院患者的药物不良事件。
BMC Health Serv Res. 2024 Jan 15;24(1):72. doi: 10.1186/s12913-023-10449-z.
电子健康记录中基于触发工具的自动不良事件检测:系统评价
J Med Internet Res. 2018 May 30;20(5):e198. doi: 10.2196/jmir.9901.
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BMC Pharmacol Toxicol. 2017 Nov 15;18(1):71. doi: 10.1186/s40360-017-0177-y.
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