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....
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| Main Authors: | , , , , , , , , , |
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| Format: | Book |
| Published: |
Norsk Forening for Epidemiologi,
2021-08-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Summary: | 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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| Item Description: | 10.5324/nje.v29i1-2.4053 0803-2491 |