Development and application of a tool to combine and use RCT and observational/registry data in economic evaluation

  • To produce guidance on extrapolation of Randomised Clinical Trial (RCT) results using Real World Data (RWD), either observational or registry data, to allow cost-effectiveness analysis (CEA) of new health care technologies to be undertaken

  • To develop a new, publicly accessible platform to allow direct modelling of CEA by Health Technology Assessment (HTA) agencies

  • Extrapolation of health benefits by using different sets of data

  • Assessment and evaluation of existing ways of extrapolation of treatment costs

  • Creation of platform based on Discretely Integrated Condition Event (DICE) simulation, to model health benefits and treatment costs during CEA modelling

  • Pilot using the DICE model with a published HTA guideline and provision of recommendations for modelling the consequences of guidelines, both in general and when using DICE simulation

  • A review of methods used to extrapolate RCT outcomes using Real World Data

  • Guidance relating to the matching of data from RCTs and Observational or Registry data

  • An analysis of the manner in which such matched data can be used for estimation of long-term outcomes

  • Validation of the DICE modelling technique against existing methods

  • Speeding up execution of the DICE Simulation macro

  • Training modules and manuals for HTA staff, reviewers and modelers

Research Update

January 2019 – IMPACT HTA 2nd Project Meeting (Presentation PDF)

January 2020 – IMPACT HTA 3rd Project Meeting (Presentation PPT)

London School of Economics and Political Science

Principal Investigators

Alistair McGuire

Jaime Caro

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779312