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Mt Hood 2025: Pre-Conference Workshop  

A half-day workshop will be held prior to the conference. The workshops take place on Monday 23 June 2-5pm.

The workshop covers all aspects of building and using health-economic diabetes simulation models. The workshop will have no assumed knowledge and is intended to provide an overview of the field, including the latest developments. 

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Outline

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Introduction to diabetes modelling

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  • Brief History

  • How simulation models work

  • Constructing risk equations using individual data

  • Developing risk-factor equations

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Quality of life and complications

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  • Collection of Quality of life data: Case studies from UKPDS and ADVANCE studies

  • How often and what do we need to collect?

  • Heterogeneity in responses across regions

  • Should be using levels or changes in Quality of life?

  • Relationship between utility and mortality

  • Quality Adjusted Survival Models

  • Role of meta-analysis 

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Costs of treatments and complications

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  • Changes in the price and expenditure of diabetes therapies:  recent evidence

  • Options for collecting resource use information

  • Sources of costing data in other countries – Sweden, Australia, ADVANCE.

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Future directions in modelling

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  • Adapting models across settings

  • Calibration risk equations 

  • Developing new equations – mortality following events -  WA UKPDS example

  • LE calculators (Sweden & WA)

  • What can we learn from meta-models?

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New Developments in Type 1 diabetes

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  • Burden of the disease: Life expectancy gap in Sweden & Australia

  • How a hypo can impact on your life expectancy

  • Overview of a new Type 1 diabetes model

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The future of diabetes simulation modelling

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  • Capturing new treatments and interventions

  • Can we develop a universal model?

  • Software for simulation modelling

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Summary of UKPDS Outcomes Model equations
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Overview of HE diabetes simulaton models
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Speaker 

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Professor Philip Clarke was instrumental in the development of both versions of the UKPDS Outcomes Model.  More recently he has been involved in the development of a comparable Type 1 diabetes simulation model using data from a large diabetes registry in Sweden. He has also been involved with the economic analyses of the major diabetes clinical trials including the UKPDS, FIELD and ADVANCE studies.
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Introduction to Building and Calibrating Simulation Models in R
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