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HEOR Africa

Services

Health economic evidence, built locally

Four services that can stand alone or combine into a single evidence package. Every engagement runs through the same reproducible, independently checked pipeline.

  1. 01

    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.

    Typical deliverables

    • Adapted model in R (or Excel on request) with a version-controlled code repository
    • Parameter table with a source, justification and range for every input
    • Technical report aligned with CHEERS 2022
    Details: Model adaptation
  2. 02

    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.

    Typical deliverables

    • Unit-cost dataset in a documented, analysis-ready format (CSV and R)
    • Costing tool that lets you update prices and volumes
    • Methods report describing data sources, allocation rules and limitations
    Details: Costing studies
  3. 03

    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.

    Typical deliverables

    • Country-specific value dossier or payer evidence package
    • Adapted cost-effectiveness and budget impact models supporting the dossier
    • Objection-handling notes for technical and payer meetings
    Details: Value dossiers
  4. 04

    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.

    Typical deliverables

    • Course materials, slides and annotated R code
    • Reusable model templates participants can adapt
    • Exercises with worked solutions
    Details: Training in R

Not sure which service fits?

Describe the decision you need to support and we will suggest a scope in a 20-minute call.