Prof. Dr. Martin Siegel on model-based evaluations to predict cost-effectiveness in global health projects

GLOHRA Academy Series

Guest Speaker: Prof. Dr. Martin Siegel (view profile in Research Directory)
Topic: What if (not): Early model-based evaluations to predict cost-effectiveness in global health projects

The Series directs special attention towards the added value of interdisciplinary and international cooperation in global health research. Every first Tuesday of the month, speakers share insights into their research projects while focusing on research processes, methods as well as lessons learned. Following the 30-minute speaker’s presentation, the Series encourages an academic exchange between the speaker and the audience in a 30-minute Q&A session.

In this edition of the GLOHRA Academy Series, Prof. Martin Siegel discussed the potential of model-based evaluations for predicting cost-effectiveness in global health projects. A common problem in the planning of global health projects is to convince funding agencies of the necessity and potential benefits of health-related actions abroad. In Health Economics, model-based evaluations are a simulation-based tool to assess the potential impact of an intervention, policy measure, or technology, based on existing literature and evidence-based assumptions. The talk gives an intuitive introduction to modeling approaches and briefly touches on the issues of model and scenario uncertainty. The major aim is to introduce the Global Health research community to the underlying way of thinking and to include these approaches in their scientific toolkits for their future work.

Prof. Martin Siegel is a Junior Professor for Empirical Health Economics at the Technische Universität Berlin. 

Watch the presentation