A common data model for harmonization in the nordic pregnancy drug safety studies (Norpress)
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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A common data model for harmonization in the nordic pregnancy drug safety studies (Norpress). / Cohen, Jacqueline M.; Cesta, Carolyn E.; Kjerpeseth, Lars; Leinonen, Maarit K.; Hálfdánarson, Óskar; Karlstad, Øystein; Karlsson, Pär; Andersen, Morten; Furu, Kari; Hjellvik, Vidar.
I: Norsk Epidemiologi, Bind 29, Nr. 1-2, 2021, s. 117-123.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - A common data model for harmonization in the nordic pregnancy drug safety studies (Norpress)
AU - Cohen, Jacqueline M.
AU - Cesta, Carolyn E.
AU - Kjerpeseth, Lars
AU - Leinonen, Maarit K.
AU - Hálfdánarson, Óskar
AU - Karlstad, Øystein
AU - Karlsson, Pär
AU - Andersen, Morten
AU - Furu, Kari
AU - Hjellvik, Vidar
N1 - Funding Information: The study was partly supported by NordForsk Nordic Program on Health and Welfare (Nordic Pregnancy Drug Safety Studies, project No. 83539), by the Research Council of Norway (International Pregnancy Drug Safety Studies, project No. 273366) and by the Research Council of Norway through its Centres of Excellence funding scheme (project No. 262700).
PY - 2021
Y1 - 2021
N2 - 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).
AB - 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).
U2 - 10.5324/nje.v29i1-2.4053
DO - 10.5324/nje.v29i1-2.4053
M3 - Journal article
AN - SCOPUS:85113346235
VL - 29
SP - 117
EP - 123
JO - Norsk Epidemiologi
JF - Norsk Epidemiologi
SN - 0803-2491
IS - 1-2
ER -
ID: 282190436