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Patient Experience Data (PED) in 2019-2023 US FDA NME Drug Approvals: Analysis and Recommendations
Jewell D Martin1, Darcy Frear2, Samantha A Roberts3,4
1BioMarin (United States), San Rafael, CA, USA. jewell.martin@bmrn.com.
Therapeutic Innovation & Regulatory Science
|May 9, 2025
Summary
Patient Experience Data (PED) is increasingly used in U.S. Food and Drug Administration (FDA) drug reviews. While inclusion in approval documents is rising, greater transparency is needed on how the FDA considers patient perspectives in regulatory decisions.
Area of Science:
- Regulatory Science
- Patient-Centered Drug Development
- Health Policy
Background:
- U.S. Congress mandated FDA consideration of patient perspectives in drug reviews since 2012.
- Patient Experience Data (PED) is crucial for regulatory decision-making.
- This study evaluates the integration and impact of PED in FDA approval processes.
Purpose of the Study:
- To assess the implementation and impact of patient-focused legislation on FDA drug reviews.
- To analyze the inclusion of Patient Experience Data (PED) in FDA approval documents from 2019-2023.
- To build upon previous analyses by comprehensively evaluating sponsor and FDA use of PED.
Main Methods:
- Reviewed 277 drug and biologic approval documents from FDA's CDER and CBER.
- Assessed the submission and reporting of PED in approval documents and product labels.
- Analyzed PED within PED Tables, benefit-risk frameworks, and product labels for each indication.
Main Results:
- 252 out of 277 (91%) approval documents included a PED Table; 179 (65%) were complete.
- PED was incorporated into the benefit-risk framework for 85 (30%) applications.
- PED was included in the product label for 75 (27%) applications.
Conclusions:
- Systematic collection and utilization of PED have been evolving for over a decade.
- Both FDA and sponsors are increasingly incorporating patient perspectives into drug development and decision-making.
- Enhanced transparency is required to clarify how the FDA reviews and utilizes PED for regulatory decisions.
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