Related Experiment Video
Updated: May 27, 2025

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Planning Post-Launch Evidence Generation: Lessons From France, England and Spain
Seamus Kent1, Francois Meyer2, Alina Pavel2
1Erasmus University Rotterdam, Rotterdam, the Netherlands.
Abstract:
Technological developments and innovations in regulatory pathways have meant medicinal products are increasingly associated with substantial clinical and economic uncertainties at launch. This has increased the focus on continuous evidence generation to assess the real-world value of new medicines post-launch. This paper examines Post-Launch Evidence Generation (PLEG) systems in France, Spain, and England, drawing on insights from a series of multistakeholder roundtables hosted by RWE4Decisions. These discussions provided a platform to compare national approaches to PLEG considering PLEG planning and operationalization. The roundtable events included presentations by representatives of the HTA bodies and payers in France, Spain, and England, an industry response, and multistakeholder discussions. The events highlighted that while there are differences in the products to which PLEG is applied and the way it is operationalized, there are many common challenges experienced across systems and by all stakeholders. First, there is a recognition that evidentiary needs must be anticipated earlier to avoid PLEG where possible and better plan for PLEG where needed. Second, there is a need to streamline data collection. This includes trying to make greater use of existing data sources vs. primary data collection, prioritizing collection of a small number of outcomes that directly address key uncertainties, and by improving international collaborations to streamline data collection and evidence generation across borders. Our findings suggest value in improving scientific advice processes and international collaboration to discuss key data gaps early and ensure efficient and effective evidence collection that improves the speed and quality of reimbursement and pricing decisions.
More Related Videos
Related Concept Videos
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Steps in Outbreak Investigation
Clinical Trials
There are four phases in a clinical trial. A phase one...
Planning Nursing Care I
Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

