北欧妊娠药物安全研究(NorPreSS)中统一的通用数据模型

Q3 Medicine Norsk Epidemiologi Pub Date : 2021-08-16 DOI:10.5324/nje.v29i1-2.4053
J. Cohen, C. Cesta, L. Kjerpeseth, M. Leinonen, Óskar Ö. Hálfdánarson, Ø. Karlstad, P. Karlsson, M. Andersen, K. Furu, V. Hjellvik
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引用次数: 8

摘要

有必要开展大型观察性研究,以获得有关妊娠期间使用药物安全性的有力证据。在北欧国家,以全国人口为基础的记录所有出生和分发处方药物的健康登记册是此类研究的宝贵资源。公共数据模型(CDM)是一种数据协调和结构化工具,能够对包括来自多个国家或数据库的数据在内的研究采用统一和简化的分析方法。我们描述了为北欧妊娠药物安全研究(NorPreSS)开发的CDM,包括数据来源和数据表结构的细节。我们还概述了该方法的优点和缺点(例如,共享数据分析程序与从原始数据创建CDM数据集的额外初始工作)。
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A common data model for harmonization in the Nordic Pregnancy Drug Safety Studies (NorPreSS)
It is necessary to carry out large observational studies to generate robust evidence about the safety of drugs used during pregnancy. In the Nordic countries, nationwide population-based health registers that document all births and dispensed prescribed drugs are valuable resources for such studies. A common data model (CDM) is a data harmonization and structuring tool that enables a unified and streamlined analytic approach for studies including data from multiple countries or databases. We describe a CDM developed for the Nordic Pregnancy Drug Safety Studies (NorPreSS), including details on data sources and structure of the data tables. We also provide an overview of the advantages and disadvantages of the approach (e.g. sharing of data analysis programs versus extra initial work to create CDM datasets from raw data).
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来源期刊
Norsk Epidemiologi
Norsk Epidemiologi Medicine-Epidemiology
CiteScore
1.10
自引率
0.00%
发文量
25
审稿时长
12 weeks
期刊最新文献
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