PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 26, 2026Journal of Women s Health0 citations

Opportunities and Challenges to Leveraging Real-World Data for Post-Market Safety Studies in Pregnancy and Lactation: Meeting Proceedings

View Full Paper
CRCarla Rodriguez-WatsonKWKaylan WareJEJoy C. Eckert

Key Points

  • The meeting aimed to explore the utilization of real-world data to improve post-market safety studies for drug assessment in pregnancy and lactation.
  • Participants shared expertise from various sectors including drug manufacturing, regulation, and healthcare.
  • Discussions focused on current practices leveraging real-world data beyond traditional registries.
  • Strategies were developed to overcome challenges like long study timeframes and single-arm designs.
  • Insights on the state of science in leveraging real-world data for drug safety were collected.
  • Proposed solutions aimed to enhance post-market safety evaluations and address limitations of existing methods.
  • A collaborative approach among various stakeholders was emphasized to further the agenda.

Abstract

This proceeding summarizes a meeting hosted by the Reagan-Udall Foundation for the Food and Drug Administration (FDA) (FDA Foundation) to understand the current use of and evidence for approaches that leverage real-world data (RWD) sources beyond registries to assess post-market drug safety studies in pregnant and lactating persons. Participants represented a wide breadth of expertise, including drug manufacturers, regulators, academic researchers, and health care providers and insurers. Participants reviewed the state of the science and developed solutions to advance the use of RWD to address limitations posed by traditional product registries, such as long timeframes and single-arm study design.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Rodriguez-Watson et al. (2026) studied this question.

synapsesocial.com/papers/69edad274a46254e215b4debhttps://doi.org/10.1177/15409996261444636
Ask AI
Helpful
Bookmark
Share
View Full Paper