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对社区药店药物质量相关不良事件报告的文本挖掘分析。

A text mining analysis of medication quality related event reports from community pharmacies.

机构信息

University of Michigan, College of Pharmacy, United States.

Founder and Chief Clinical Officer SecondStory Health, LLC, United States.

出版信息

Res Social Adm Pharm. 2019 Jul;15(7):845-851. doi: 10.1016/j.sapharm.2018.09.013. Epub 2018 Sep 26.

Abstract

BACKGROUND

Medication errors are estimated to cost $42 billion in annual global treatment costs. Pharmacy-based Patient Safety Organizations (PSO) are tasked with collecting and analyzing incidents, near misses, and unsafe condition reports as one way of engaging pharmacies in quality improvement efforts. Collectively, these reports are referred to as quality related events (QREs). Large-scale analysis of typed narratives from QRE reports across organizations has been a missing component of quality improvement programs.

OBJECTIVE

To identify topics within the components of a proposed medication safety event framework contained in the free-text narrative of QRE reports.

METHODS

A retrospective, observational analysis of data from a PSOs voluntary reporting system, from January 1, 2011 to December 31, 2014. The dataset contained structured and unstructured data elements. A structural topic model extracted themes from the free-text narrative component of the report. These topics were assigned a human label and mapped onto constructs of the medication safety event framework.

RESULTS

A total of 531,555 QREs were analyzed from 1660 pharmacies. 90.6% were near miss and unsafe condition reports. There were 40 topics generated. There were 29 topics identified as QRE types, 3 were identified as contributing factors, and 5 were related to signals/alerts that an incident or near miss had occurred. One topic each was identified as a recovery step and a quality improvement strategy. One topic was not assigned a human label. Examples of topics labeled included incorrect tapering directions, needing to double-check work, and attention-related contributing factor.

CONCLUSIONS

The free-text narrative provided novel information compared to the structured fields of the reports. Topics were mapped onto a proposed medication safety event framework to advance knowledge of medication QREs and identify ways to improve medication safety in community pharmacy. Future work may focus on communicating these topics to the pharmacies to improve medication safety efforts.

摘要

背景

据估计,全球每年因用药错误而导致的治疗费用高达 420 亿美元。基于药房的患者安全组织(PSO)的任务之一是收集和分析事件、险些差错和不安全状况报告,以此作为使药房参与质量改进工作的一种方式。这些报告统称为质量相关事件(QRE)。对来自不同组织的 QRE 报告的文字叙述进行大规模分析是质量改进计划中缺失的一个环节。

目的

在 QRE 报告的文字叙述中,确定拟议的用药安全事件框架各组成部分的主题。

方法

对 2011 年 1 月 1 日至 2014 年 12 月 31 日期间,一个 PSO 自愿报告系统的数据进行回顾性、观察性分析。该数据集包含结构化和非结构化数据元素。一个结构主题模型从报告的文字叙述部分提取主题。这些主题被赋予一个人工标签,并映射到用药安全事件框架的构建模块上。

结果

从 1660 家药房共分析了 531555 份 QRE。90.6%为险些差错和不安全状况报告。共生成了 40 个主题。其中 29 个被确定为 QRE 类型,3 个被确定为促成因素,5 个与表明已发生事件或险些差错的信号/警报有关。1 个主题被确定为恢复步骤,1 个主题被确定为质量改进策略。1 个主题未被赋予人工标签。被标记的主题示例包括错误的减量方向、需要反复核对工作和与注意力相关的促成因素。

结论

与报告的结构化字段相比,文字叙述提供了新颖的信息。将主题映射到拟议的用药安全事件框架上,可进一步了解用药 QRE,并确定改善社区药房用药安全的方法。未来的工作可能集中于向药房传达这些主题,以加强用药安全工作。

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本文引用的文献

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