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Local adaptation of cost-effectiveness and budget impact models
We adapt global or published cost-effectiveness and budget impact models to a specific African health system, replacing borrowed inputs with local, sourced parameters.
Health economics and market-access evidence · Kigali
Local, validated health economic evidence for African health systems — delivered in weeks, not months.
We adapt cost-effectiveness and budget impact models to local settings, generate unit-cost data and prepare payer evidence packages, through a reproducible pipeline with independent quality control.
Who we work with
- Global HEOR consultancies
- Donors and implementers
- Research groups
- Market-access teams
- Ministries and payers
Services
Four ways we help
Each service can stand alone or combine into a single evidence package.
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Costing studies and unit-cost data
We generate credible unit costs for health services and programmes using bottom-up, top-down or mixed methods, with transparent assumptions and reusable data outputs.
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Payer evidence packages and value dossiers
We assemble the clinical, economic and budget evidence that payers and technical committees need, in a structure they can assess quickly.
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Training in health economic modelling in R
Practical, hands-on courses that teach analysts to build, check and report decision models in R using reproducible workflows.
Method
How we work
Every engagement runs through the same reproducible pipeline, with three points where a senior expert must sign off before work moves on.
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Scoping
Agree the decision problem, population, comparators, perspective and outcome measure.
Sign-off gate 1: Scope and model structure
A senior health economist signs off the scope and model structure before evidence work begins.
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Evidence
Identify and appraise clinical, epidemiological and economic evidence in a documented search.
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Local inputs
Source local costs, resource use and epidemiology, each traced to a cited source.
Sign-off gate 2: Inputs and sources
A clinical or subject-matter expert signs off the parameter table and its sources.
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Modelling
Build or adapt the model in R, with version-controlled, reviewable code.
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Independent QC
A second analyst checks code, inputs and outputs against a written checklist.
Sign-off gate 3: Results and interpretation
Results and their interpretation are signed off before anything is released.
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Reporting
A CHEERS 2022-aligned report, parameter table and briefing for decision-makers.
Every parameter has a source
Inputs are recorded in a parameter table with their source, justification and range.
Reproducible by design
Models are built in R under version control, so any result can be regenerated.
Independently checked
A second analyst checks each model before results are released, and reporting follows CHEERS 2022.
Featured insight
All insights2 min readPLACEHOLDER
Adapting a published cost-effectiveness model to a new setting
What should change when a model built elsewhere is used for an African decision, what should not, and how to show reviewers the difference.
Tags: model adaptation · methods · transferability
Have a decision that needs local evidence?
A 20-minute call is enough to understand the question, the data available and whether we are the right partner.