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HEOR Africa

Flagship practice area

Economic evaluation and health technology assessment

Cost-effectiveness and budget impact analysis, local adaptation of published models, and support to health technology assessment processes and benefit-package committees.

The problem

Health technology assessment and benefit-package committees are being established across the region, but many still rely on international experts and on evidence built for other health systems. Unit costs, care pathways, epidemiology and comparators are often borrowed without adjustment, and reviewers rightly question results they cannot trace to local data. Decision-makers need evidence that is rigorous, locally grounded and produced on the timetable of a budget or listing decision.

What we deliver

  • Cost-effectiveness and cost-utility analysis

    Decision trees, Markov and microsimulation models reporting outcomes in DALYs or QALYs, with full uncertainty analysis.

  • Budget impact analysis

    Multi-year budget impact from the payer's perspective, with uptake and displacement scenarios.

  • Local model adaptation

    Adaptation of global or published models to a specific country, replacing borrowed inputs with sourced local parameters.

  • HTA process and committee support

    Evidence reviews, technical appraisal of submissions, and methods guidance for HTA units and benefit-package committees.

  • HTA dossier support

    Local economic sections and budget impact models for submissions to African payers and HTA bodies.

Methods

  • Decision-analytic modelling (decision trees, Markov, microsimulation)
  • Probabilistic sensitivity analysis
  • Budget impact analysis
  • Evidence synthesis
  • CHEERS 2022 reporting
  • Reproducible R code with independent quality control

How we work

  1. 01

    Scope the decision problem

    Agree population, comparators, perspective, time horizon and outcome measure with you and, where relevant, the committee that will use the evidence.

  2. 02

    Build or review the model

    Rebuild or audit the model structure in R so that every calculation is transparent and reproducible.

  3. 03

    Localise the inputs

    Source local costs, resource use and epidemiology; where local data do not exist, state the proxy used and test it.

  4. 04

    Analyse, check and report

    Run deterministic, probabilistic and scenario analyses, pass the model through independent quality control and report in line with CHEERS 2022.

Every engagement follows our reproducible pipeline with three expert sign-off gates.

Typical deliverables

  • Cost-effectiveness and/or budget impact model with a version-controlled code repository
  • Parameter table with source, justification and range for every input
  • Technical report aligned with CHEERS 2022
  • Results briefing for technical committees and decision-makers

Start here: our free, sourced resources on economic evaluation & hta — methods guides, blank Excel templates and calculators.

All free resources

Frequently asked questions

What does a cost-effectiveness analysis cost?

It depends on whether a model already exists to adapt, how much local data must be sourced or collected, and the reporting required. After a 20-minute call we send a written proposal setting out the scope, timeline and price.

How long does a cost-effectiveness analysis take?

Adapting an existing model typically takes 3–6 weeks from agreed scope. New evaluations and HTA process support are scoped individually.

Do you follow CHEERS 2022?

Yes. Our reports follow CHEERS 2022, and a completed CHEERS checklist is supplied with every report.

Can you adapt a model built by someone else?

Yes, provided we have access to the model or its full documentation. We rebuild or audit it in R and replace borrowed inputs with sourced local parameters.

Discuss your question with us

Tell us what you need and we will reply within one business day with next steps — or book a 20-minute call.

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