DrugUtilisation: An R Package to Support Drug Utilisation Research Using the OMOP Common Data Model.

IF 2.6 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Yuchen Guo, Edward Burn, Annika M Jödicke, Núria Mercadé-Besora, Kim Lopez-Güell, Xihang Chen, Mike Du, Xintong Li, Raivo Kolde, Marek Oja, Mees Mosseveld, Katia Verhamme, Julieta Politi, Antonella Delmestri, Wai Yi Man, Peter Rijnbeek, Daniel Prieto-Alhambra, Martí Català
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引用次数: 0

Abstract

Purpose: To develop and describe DrugUtilisation, an open-source R package that facilitates drug utilisation studies using data mapped to the OMOP Common Data Model (CDM).

Methods: Core functionalities include creating drug user cohorts, identifying and summarising indications, describing the duration and dose of medication/s and assessing treatment adherence. The package works with packages developed within the DARWIN EU initiative to support study-specific workflows. We show the package's workflow by analysing the use of simvastatin in three European real-world databases.

Results: This paper outlines the DrugUtilisation package's functions and demonstrates their application with a clinical example of simvastatin use in databases from the United Kingdom, Estonia and the Netherlands. We generated results including cohort counts, indication summaries, measures of dose and duration, as well as publication-ready tables and figures. We implemented comprehensive unit tests and standardised output format, which ensured consistency across databases and minimised coding errors.

Conclusion: The development of this software allows for researchers to quickly perform common drug utilisation analyses, while also providing the foundation for additional, bespoke study-specific analyses.

药物利用:一个使用OMOP通用数据模型支持药物利用研究的R包。
目的:开发和描述DrugUtilisation,这是一个开源R包,使用映射到OMOP公共数据模型(CDM)的数据促进药物利用研究。方法:核心功能包括创建吸毒者队列、识别和总结适应症、描述用药时间和剂量以及评估治疗依从性。该软件包与DARWIN EU倡议中开发的软件包一起工作,以支持特定于研究的工作流程。我们通过分析三个欧洲真实世界数据库中辛伐他汀的使用来展示该软件包的工作流程。结果:本文概述了DrugUtilisation软件包的功能,并以英国、爱沙尼亚和荷兰数据库中辛伐他汀的临床应用为例说明了其应用。我们生成的结果包括队列计数、适应症摘要、剂量和持续时间的测量,以及可供发表的表格和数据。我们实现了全面的单元测试和标准化的输出格式,这确保了数据库之间的一致性,并最大限度地减少了编码错误。结论:该软件的开发使研究人员能够快速执行常见药物利用分析,同时也为额外的定制研究特定分析提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
7.70%
发文量
173
审稿时长
3 months
期刊介绍: The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report. Particular areas of interest include: design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology; comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world; methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology; assessments of harm versus benefit in drug therapy; patterns of drug utilization; relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines; evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.
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