In its first two years, ConcePTION created the network, tools, and common data models needed to harmonise diverse data sources, defined core elements for pregnancy pharmacovigilance, and shared expertise with global networks. In years three and four, the project conducted demonstration studies, built models to predict drug transfer into breastmilk, established a framework for data quality, laid the foundation for a Europe-wide breastmilk biobank, and launched the knowledge bank to make evidence accessible. In its final year, ConcePTION advanced five research projects, refined analytical methods, and strengthened regulatory collaboration.
Key achievements:
- Core data elements (CDE): A structured framework of 98 CDEs to guide standardized data collection in pregnancy pharmacovigilance research.
- Data pipeline: A five-step pharmacoepidemiology pipeline for studying medicine use and safety in pregnancy and lactation, adaptable to many research questions.
- Toolkit: Guidance on push–pull strategies, value propositions, and adaptable digital/print materials for targeted communications in multiple languages.
- MUMS Knowledge Bank: A free, publicly accessible source of reliable information on medicine use during pregnancy (www.mums.eu).
- Meds4Mums2B: A UK mobile app providing trusted medicine information for parents and healthcare professionals, while collecting medicine-use data.
- E-learning: An 11-chapter interactive online course for healthcare professionals, launching in 2025.
- Breastmilk collection: Five lactation studies on transfer of amoxicillin, levocetirizine, metformin, prednisolone, and venlafaxine, creating a framework for future research.
- Bioanalytical methods: Standardized, validated methods for measuring medicine levels in breast milk and plasma, supporting model validation.
- LIFETIME: A framework for long-term follow-up of neurodevelopment in children exposed to medicines during pregnancy, through school age.
- In vivo, in vitro & PBPK models: A non-clinical framework to study and predict medicine transfer into milk, combining in vitro models, in vivo verification, and PBPK simulations.
- Ethics framework: An approach for data-intensive research involving pregnant and breastfeeding women within learning healthcare systems.
- Secondary data sources: Methods to use and expand existing databases for case-control and cohort studies.
See also:
https://www.imi-conception.eu/results(öffnet in neuem Fenster).