TY - JOUR
T1 - From Inception to ConcePTION
T2 - Genesis of a Network to Support Better Monitoring and Communication of Medication Safety During Pregnancy and Breastfeeding
AU - Thurin, Nicolas H
AU - Pajouheshnia, Romin
AU - Roberto, Giuseppe
AU - Dodd, Caitlin
AU - Hyeraci, Giulia
AU - Bartolini, Claudia
AU - Paoletti, Olga
AU - Nordeng, Hedvig
AU - Wallach-Kildemoes, Helle
AU - Ehrenstein, Vera
AU - Dudukina, Elena
AU - MacDonald, Thomas
AU - De Paoli, Giorgia
AU - Loane, Maria
AU - Damase-Michel, Christine
AU - Beau, Anna-Belle
AU - Droz-Perroteau, Cécile
AU - Lassalle, Régis
AU - Bergman, Jorieke
AU - Swart, Karin
AU - Schink, Tania
AU - Cavero-Carbonell, Clara
AU - Barrachina-Bonet, Laia
AU - Gomez-Lumbreras, Ainhoa
AU - Giner-Soriano, Maria
AU - Aragón, María
AU - Neville, Amanda J
AU - Puccini, Aurora
AU - Pierini, Anna
AU - Ientile, Valentina
AU - Trifirò, Gianluca
AU - Rissmann, Anke
AU - Leinonen, Maarit K
AU - Martikainen, Visa
AU - Jordan, Sue
AU - Thayer, Daniel
AU - Scanlon, Ieuan
AU - Georgiou, Mary E
AU - Cunnington, Marianne
AU - Swertz, Morris
AU - Sturkenboom, Miriam
AU - Gini, Rosa
N1 - © 2021 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
PY - 2022/1
Y1 - 2022/1
N2 - In 2019, the Innovative Medicines Initiative (IMI) funded the ConcePTION project-Building an ecosystem for better monitoring and communicating safety of medicines use in pregnancy and breastfeeding: validated and regulatory endorsed workflows for fast, optimised evidence generation-with the vision that there is a societal obligation to rapidly reduce uncertainty about the safety of medication use in pregnancy and breastfeeding. The present paper introduces the set of concepts used to describe the European data sources involved in the ConcePTION project and illustrates the ConcePTION Common Data Model (CDM), which serves as the keystone of the federated ConcePTION network. Based on data availability and content analysis of 21 European data sources, the ConcePTION CDM has been structured with six tables designed to capture data from routine healthcare, three tables for data from public health surveillance activities, three curated tables for derived data on population (e.g., observation time and mother-child linkage), plus four metadata tables. By its first anniversary, the ConcePTION CDM has enabled 13 data sources to run common scripts to contribute to major European projects, demonstrating its capacity to facilitate effective and transparent deployment of distributed analytics, and its potential to address questions about utilization, effectiveness, and safety of medicines in special populations, including during pregnancy and breastfeeding, and, more broadly, in the general population.
AB - In 2019, the Innovative Medicines Initiative (IMI) funded the ConcePTION project-Building an ecosystem for better monitoring and communicating safety of medicines use in pregnancy and breastfeeding: validated and regulatory endorsed workflows for fast, optimised evidence generation-with the vision that there is a societal obligation to rapidly reduce uncertainty about the safety of medication use in pregnancy and breastfeeding. The present paper introduces the set of concepts used to describe the European data sources involved in the ConcePTION project and illustrates the ConcePTION Common Data Model (CDM), which serves as the keystone of the federated ConcePTION network. Based on data availability and content analysis of 21 European data sources, the ConcePTION CDM has been structured with six tables designed to capture data from routine healthcare, three tables for data from public health surveillance activities, three curated tables for derived data on population (e.g., observation time and mother-child linkage), plus four metadata tables. By its first anniversary, the ConcePTION CDM has enabled 13 data sources to run common scripts to contribute to major European projects, demonstrating its capacity to facilitate effective and transparent deployment of distributed analytics, and its potential to address questions about utilization, effectiveness, and safety of medicines in special populations, including during pregnancy and breastfeeding, and, more broadly, in the general population.
U2 - 10.1002/cpt.2476
DO - 10.1002/cpt.2476
M3 - Article
C2 - 34826340
SN - 0009-9236
VL - 111
SP - 321
EP - 331
JO - Clinical Pharmacology & Therapeutics
JF - Clinical Pharmacology & Therapeutics
IS - 1
ER -