23 March 2026

How can clinical trials in a global health emergency be implemented faster, more coordinated and more effectively?

An international team including DKF research group leader Matthias Briel and postdoc Alain Amstutz presents a new approach for conducting multinational research in exceptional global situations based on an analysis of the global Mpox outbreak in 2022: the federated trial design.

Bundling individual initiatives

After the outbreak of the 2022 Mpox epidemic, the WHO planned a global, randomised study on evaluating the efficacy of tecovirimat. However, its implementation faced insurmountable regulatory, organisational and financial hurdles. Instead, several studies were conducted in parallel, resulting in a considerable fragmentation of resources.

In their analysis, the international team of authors from the UNITY/MPX-RESPONSE and STOMP consortia show how federated study designs can help to pool data in a structured way, plan studies in a harmonised manner and generate evidence that can be used for regulatory purposes - despite separate sponsors and local differences. At the heart of this approach is a common, predefined "Conjoined Analysis Plan", which makes combined data from several parallel studies analysable.

Conclusion

The federated study design is not a substitute, but a strategically important alternative to individual, independent studies, when emergencies or organisational barriers make large multinational studies impossible. It can help to deliver scientifically robust results much faster.

Global health crisis

What is a federated study design?

A federated study design lays the foundation for regional studies through harmonised protocols, data standards and a common analysis plan so that their data can be jointly evaluated and used for regulatory purposes.

Key elements

  • Harmonised data standards
  • Harmonised protocols and variable-based CRFs
  • Joint Data Monitoring Committee
  • Predefined analyses for pooled data (conjoined analyses)

Advantages

  • Faster implementation of individual studies
  • Greater statistical power through data pooling
  • Shared responsibility and resources
  • Suitable for drug approval in health emergencies

Challenges

  • High coordination effort
  • Complexity of error control and interim analyses
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