Structuring and Adapting Health Economic Models for Low- and Middle-Income Settings
iHEA Congress, July 2023
Welcome to Cape Town!
Have You Encountered This Scenario?
You are tasked with informing a policy decision on a specific disease in your country.
There are many published models on this disease, but not developed for your country.
Or This Scenario?
The published literature is all based on Quality-Adjusted Life Years (QALYs) but you want to calculate the incremental cost-effectiveness in terms of Disability-Adjusted Life Years (DALYs)
Or This Scenario?
You wish to build a model from scratch, but use disease incidence, mortality data from your country, region, or population of interest?
This workshop will show you how to deal wtih all the above scenarios.
Course Faculty and Facilitators
John Graves (Vanderbilt)
Ashley Leech (Vanderbilt)
Marie Martin (Vandebilt)
Emily Myers (Vital Strategies)
Andrew Ancharski (CDC Foundation)
Chandra Dhakal (CDC Foundation)
How to Approach This Workshop
We aim to give you exposure to some fairly technical material on Markov modeling for health policy and health technology evaluation.
Only a small fraction of what we cover will immediate resonate—but that’s ok!
Our goal is to provide you with a set of tools you can reference when you sit down and create/adapt a model in the future.
What We’ll Cover
Fundamentals of cost-effectiveness analysis for LMICs
A framework for structuring and/or adapting a model for any country, population or setting you have data on.
A toolkit for directly calculating disability-adjusted life year (DALY) outcomes in a Markov cohort model.
Strategies for collaboration, funding, dissemination and impact.
After This Course You Will
Know how to adpat a model with country-specific disease and mortality data from the Global Burden of Disease (GBD) data repository.
Know how to structure a Markov model to calculate each component of DALYs.
Be familiar with funding and collaboration platforms for health economic modeling in LMICs.