Health Economics and Evaluation Training
Learning Outcomes
- Understand measurement and interpretation of inequity and inequality in health.
- Understand core economic principles and different methods and approaches commonly used to inform resource allocation and funding decisions within the NHS.
- Understand necessary steps leading up to the conduct of an economic evaluation. Understand what outcomes to capture and how. Understand what tools are available and which one to use.
- Understand the basics of study design and their limitations; different types of studies and what inferences can be made from the results. Learn how to interpret an existing (or a proposed new) study or publication, their limitations and how they can be relevant to the local setting.
- Understand what a model is and how to interpret common models. To interpret and appraise a Markov decision model for economic evaluation. To understand limitations of Markov models and alternative models.
Aim: To support evaluation capability
This five session course is designed for a wide audience, with sessions 4 and 5 being slightly more technical and targeted at a more analytical audience. Numeracy skills will be assumed for these sessions. You don’t need to have attended previous training sessions.
The course consists of the 5 sessions, the content of each is briefly summarised below:
Session 1 - Inequality in Health and Health Care
Date: 05/10/2023 13:00 – 15:00
The persistence of health and wider inequalities perpetuates health inequities in our society. But what are these inequalities and how can we measure them?
This session provides an introduction to the concepts of inequity and inequality in health and different techniques for measuring health inequalities.
Session 2 and 3 - An Introduction to Health Economics and Economic Evaluation in Health Care
Dates:
- 12/10/2023 13:00 – 15:00
- 19/10/2023 13:00 – 15:00
These sessions are aimed at anyone interested in learning more about health economics and economic evaluation, and how different methods and approaches are used to inform decision making at national, system or organisational level.
Across two sessions, we will provide an introduction to: key concepts in health economics and economic evaluation in health care and how different methods are used to inform resource allocation and funding decisions within the NHS.
Session 4 - Critical appraisal of Published Economic Evaluations
Date: 26/10/2023 13:00 – 15:00
Making decisions in health economics implies that minimum data requirements are met, both clinical and economic.
- What are the main design features of studies?
- How is data generated?
- How reliable are the results?
This course provides a comprehensive coverage of all key issues in the methods and practice of economic evaluation with a goal to appreciate and appraise studies done by others.
Session 5 - Decision modelling for health economic evaluation
Date: 02/11/2023 13:00 – 15:00
Very commonly, health economics analyses require the use of models.
Why are they necessary and what are they? How can we construct and then interpret them?
This course presents the different approaches to modelling.
Audience
This course is free and available to all those working in health and care , e.g. NHS, Public Health, Local Authority, ICBs
Trainers
Your training will be led by the Team at the Health Economics Unit
“Rounded content, delivered well.”
“Application to real-world examples.”
“The discussion around building the underlying evidence base, the specific examples chosen.”
“illustration of the different models.”
Duration
Each Module will be 2 hours.
Location
Online – delivered via Teams.
The majority of talks will be spaced with interactive discussions and practicals.
Dates:
- Session 1: Inequality in Health and Health Care
Sessions 2 and 3: An Introduction to Health Economics and Economic Evaluation in Health Care
Session 4: Critical Appraisal of Published Economic Evaluations
Session 5: Decision Modelling for Health Economic Evaluation
For more information about this course, please contact:
Training & Development Operational Lead, Rachel Caswell