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  • 标题:A common data model for harmonization in the Nordic Pregnancy Drug Safety Studies (NorPreSS)
  • 本地全文:下载
  • 作者:Jacqueline M. Cohen ; Carolyn E. Cesta ; Lars Kjerpeseth
  • 期刊名称:Norsk epidemiologi
  • 印刷版ISSN:0803-2491
  • 出版年度:2021
  • 卷号:29
  • 期号:1-2
  • DOI:10.5324/nje.v29i1-2.4053
  • 语种:English
  • 出版社:Norsk forening for epidemiologi - The Norwegian Epidemiological Association
  • 摘要: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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