Health Utilities for Economic Models
Date:
16/07/2020
Organised by:
York Health Economics Consortium
Presenter:
Dr Matthew Taylor (Director) and Dr Adam Smith (Associate).
Level:
Entry (no or almost no prior knowledge)
Contact:
Niki Baines, 01904323204, niki.baines@york.ac.uk
Description:
Cost-utility analysis is a requirement for NICE health technology appraisals and is being increasingly used in other contexts and countries. Health utilities, a crucial component of cost-utility analysis, capture the relative change in health-related quality of life resulting from a treatment. As such, health utility can be a key driver of the cost-effectiveness ratio. Obtaining health utility values that are suitable for your economic evaluation, however, may not always be straight forward.
This one-day training course complements the early economic modelling course, discussing issues around different approaches to obtaining utility values. It introduces each approach in turn, giving an overview of the implementation, strengths, and limitations of each, across different contexts.
Further topics discussed include examples of different approaches used in real-world NICE health technology assessments with comments from evidence review groups, and a look at the limitations of utilities and how alternative approaches might be used in the future.
Please note that this course is an optional follow-on from the ‘Early Modelling to Inform Clinical Trial Design and Other Decisions’ on the previous day. It is not a stand-alone course.
We ask that you bring your own laptops to this course. If you do not have access to a laptop, please contact Niki (Training Course Administrator).
Cost:
Early bird: £240
Full price: £300
Website and registration:
https://yhec.co.uk/training/economic-evaluation/health-utilities-for-economic-models/
Region:
Yorkshire and Humberside
Keywords:
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination