巴西儿科住院患者药物不良事件的特征分析

Lunara Teles Silva , Ana Carolina Figueiredo Modesto , Renato Rocha Martins , Flavio Marques Lopes
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摘要

目的了解巴西某三级教学医院儿科住院患者药物不良事件发生频率及特点。方法采用回顾性和手工图表回顾的方法对240例儿科住院患者进行横断面研究,以确定17种触发因素的药物不良事件。当在图表中检测到触发器时,审阅者将深入调查图表以确定事件是否发生。在与医疗团队的会议中获得了关于事件发生的共识。事件按危害分类,药物按解剖治疗化学分类。使用卡方检验和曼-惠特尼U检验将遭受痛苦的患者与未经历事件的患者进行比较。结果共发现62例不良事件,其中18.8%的患者至少发生过一次不良事件。不良事件发生率为25.83 / 100次入院,20.27 / 1000患者日,25.94 / 1000药物,2.12 / 1000药物剂量。所有发现的事件都被归类为暂时性伤害,心血管药物与这些事件的关系最为密切。有和没有事件的患者组被分开(p <0.05)住院时间、用药次数和用药剂量。结论触发器的使用通过识别危害证明了它在儿科环境中的实用性。不良事件发生率高于以往的研究,但伤害率低于其他研究。这项研究能够测量不良事件,以确定减轻或减少伤害的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of adverse drug events identified by trigger in Brazilian pediatric inpatients

Objective

To describe the frequency and characteristics of adverse drug events in pediatric inpatients in a Brazilian tertiary teaching hospital.

Methods

A cross‐sectional study was conducted by retrospective and manual chart review of 240 pediatric admissions to identify adverse drug events using 17 triggers. When triggers were detected in the chart, reviewers investigated the chart in depth to decide whether an event occurred. Consensus about the occurrence of the event was obtained in meeting with a healthcare team. Events were classified by harm category and drugs were classified according to the Anatomical Therapeutic Chemical Classification. Patients who had suffered were compared to those who had not experienced events using the chi‐squared test and the Mann–Whitney U test.

Results

A total of 62 adverse events were found, and 18.8% of the patients had at least one event. Adverse events rates were 25.83 per 100 admissions, 20.27 per 1000 patient‐days, 25.94 per 1000 drugs, and 2.12 per 1000 drug doses. All events found were classified as temporary harm, and cardiovascular drugs were most frequently related to events. Groups of patients with and without event were segregated (p < 0.05) by the length of stay, number of drugs, and drug doses.

Conclusion

The use of triggers demonstrated its utility in a pediatric setting by identifying harm. Adverse events rates were found to be higher than those of previous studies, but the harm rate was lower than other studies. This study enables the measurement of adverse events in order to define strategies to mitigate or reduce harm.

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