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Planning Post-Launch Evidence Generation: Lessons From France, England and Spain
Seamus Kent1, Francois Meyer2, Alina Pavel2
1Erasmus University Rotterdam, Rotterdam, the Netherlands.
Anticipating evidence needs earlier and streamlining data collection are crucial for effective Post-Launch Evidence Generation (PLEG). Improving international collaboration can enhance the speed and quality of reimbursement decisions for new medicines.
Area of Science:
- Health Economics
- Pharmaceutical Policy
- Real-World Evidence
Background:
- Medicinal products face increasing clinical and economic uncertainties at launch due to technological advancements and regulatory changes.
- Continuous evidence generation post-launch is vital for assessing the real-world value of new medicines.
- Existing Post-Launch Evidence Generation (PLEG) systems require examination to identify areas for improvement.
Purpose of the Study:
- To compare national approaches to PLEG planning and operationalization in France, Spain, and England.
- To identify common challenges and best practices in PLEG across different healthcare systems.
- To provide recommendations for optimizing PLEG processes and decision-making.
Main Methods:
- Analysis of Post-Launch Evidence Generation (PLEG) systems in France, Spain, and England.
- Insights gathered from multistakeholder roundtables hosted by RWE4Decisions.
- Presentations and discussions involving representatives from HTA bodies, payers, and industry.
Main Results:
- Despite national differences in PLEG application and operationalization, common challenges exist across systems and stakeholders.
- Recognition of the need for earlier anticipation of evidentiary requirements to either avoid or better plan PLEG.
- Identified need for streamlining data collection through greater use of existing data, prioritizing key outcomes, and enhancing international collaboration.
Conclusions:
- Improving scientific advice processes and fostering international collaboration are essential for early discussion of data gaps.
- Efficient and effective evidence collection can accelerate and enhance the quality of reimbursement and pricing decisions.
- Optimizing PLEG is critical for managing clinical and economic uncertainties associated with new medicines.
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