Decision making under conditions of uncertainty is a fact of life. In recent years, however, important efforts have been made in the area of health technology assessment to highlight the relevance of acknowledging and explicitly characterising sources of uncertainty influencing the decision to adopt health technologies as cost-effective given the existing evidence base. Parameter uncertainty, heterogeneity and methodological uncertainty are among the sources of uncertainty more extensively discussed in the literature. In contrast, decision model' structural uncertainty and uncertainties associated with the elicitation of expert judgements have not been so thorougly investigated. In this session we will discuss methods to explicitly characterise these alternative sources of uncertainty in decision analytic models exploring the effectiveness, cost-effectiveness and value of perfect information associated with healthcare technologies.
Discussants:

Laura Bojke, University of York, lg116@york.ac.uk

Christopher Jackson,University of cambridge, chris.jackson@mrc-bsu.cam.ac.uk

Marta Soares, University of York, ms602@york.ac.uk