PRECISE: A health economic approach to evaluate uncertain evidence in personalised medicine

Purpose and goal

Develop novel methods within health economic evaluation focusing on the right treatment to the right patient with the right evaluation methods and research portfolio. Objectives include: 1. Develop a decision analytic model for emerging diagnostic technologies and tailored treatments accounting for different patient characteristics (heterogeneity). 2. Assess benefits, costs and consequences of uncertainty of a diagnostic technology and tailored treatment in liver disease. 3. Develop methods for the design of an efficient research portfolio.

Expected results and effects

The rapid development of new diagnostic methods and the move towards tailored treatments in personalized medicine has not been accommodated by development of methods of economic evaluation. The project will fill part of this gap. The case studies in the project will directly support decision making for liver patients. Importantly, the developed methods will support decision makers in general to ensure that technologies in personalized medicine of value are implemented in the healthcare system.

Planned approach and implementation

Part 1 of the project investigates the cost-effectiveness of MRI-diagnostics to tailor treatments for non-alcoholic fatty liver disease using evidence synthesis and decision-analytic modelling. A systematic literature review of disease progression models is followed by model development and assessment of cost-effectiveness. Part 2 of the project uses value of information methods to determine an efficient research portfolio, methods and research recommendations will be tested with relevant stakeholders during the project.