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WORK PACKAGE 2

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

Objectives
  • 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

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Methodology
  • 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

 
Outputs
  • Deliverable D2.1: A review of parametric model choice used to extrapolate RCT outcomes [PDF]
     

  • Deliverable D2.2: Validation of the DICE modelling technique against existing methods and speeding up execution of the simulation engine [PDF]
     

  • Deliverable D2.3: Training modules and manuals for HTA staff, reviewers, and modelers (available on the DICE Platform)
     

  • DICE platform based on Discretely Integrated Condition Event simulation to model health benefits and treatment costs during CEA modelling. 
     

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Publications about DICE
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Lead
London School of Economics and Political Science

LSE Health

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Research team

Alistair McGuire (PI)

Jaime Caro (PI)

Michael Wood

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