This module builds on the core module introductory module Economic Evaluation in Health Care. It will provide advanced training in economic evaluation alongside trials, economic evaluation using decision analytic models and the inclusion of equity into economic evaluations. The content of the course will include:

Designing an economic evaluation
	Data collection
	Estimating cost effectiveness and uncertainty
	Modelling an economic evaluation
	Populating and solving a decision analytic model
	Characterising uncertainty in the parameters and structure
	Distributional cost effectiveness analysis
	Understanding equity impacts
	Presentation of economic evidence to decision makers
This module aims to provide students with the skills and knowledge needed to undertake a within-trial economic evaluation, a decision analytical economic evaluation and understand how cost effectiveness analysis can incorporate equity and health disparity considerations.  By the end of the module students should be able to conduct a cost effectiveness analysis, estimate uncertainty and present the results in a form useful for decision makers.

By the end of the course, students will be able to:

Critically assess the steps in conducting an economic evaluation either alongside a clinical trial or extrapolating beyond the trial or other decision analytic modelling approaches
	Design an economic evaluation alongside a clinical trial appropriate to a setting or intervention(s), including multinational RCTs
	Analyse cost and effect data using univariate and multivariate approaches to control for confounders and heterogeneity
	Estimate and interpret incremental cost effectiveness ratios, net benefit ratios and the uncertainty that surrounds these estimates
	Consider issues of transferability and generalisability of within trial economic evaluations
	Critically discuss the key issues with extrapolating costs and effects beyond the follow-up of clinical trials
	Critically assess the role of modelling and how models inform health care decision making
	Conceptualise and design a decision-making problem
	Build a model for a generic diagnostic test and understand how to assess the value of diagnostic information
	model and populate a Markov model with time-dependent probabilities based on the results of parametric survival modelling
	Make a probabilistic model to reflect parameter uncertainty and to run Monte Carlo simulation
	present the results of a probabilistic model using net monetary benefits and cost-effectiveness acceptability curves
	Critically discuss the different approaches to augmenting cost effectiveness analyses for equity
	Understand how best to present information on efficiency and equity to different decision makers
Recommended Readings:

Drummond et al (2015). Methods for the Economic Evaluation of Health Care Programmes. 4th edition.

https://global.oup.com/academic/product/methods-for-the-economic-evaluation-of-health-care-programmes-9780199665884?cc=gb&lang=en&

Briggs et al (2006) Decision Modelling for Health Economic Evaluation

https://global.oup.com/academic/product/decision-modelling-for-health-economic-evaluation-9780198526629?lang=en&cc=gb

 

Additional Readings:

Gray et al (2010) Applied Methods of Cost-effectiveness Analysis in Healthcare

https://global.oup.com/academic/product/applied-methods-of-cost-effectiveness-analysis-in-healthcare-9780199227280?lang=en&cc=gb

Glick et al (2014) Economic Evaluation in Clinical Trials

https://global.oup.com/academic/product/economic-evaluation-in-clinical-trials-9780199685028?lang=en&cc=gb

Cookson et al (2020) Distributional Cost-Effectiveness Analysis

https://global.oup.com/academic/product/distributional-cost-effectiveness-analysis-9780198838197?lang=en&cc=gb

 