Our Methodology and User Guides
The FairChoices tool develops tailored mathematical models using country-specific data like:
Population Dynamics
Disease Burden
Health Expenditure
Health Service Provision
General Overview
FairChoices employs a comprehensive analytical framework that integrates multiple data sources and methodological approaches to support evidence-based health benefit package design. Our methodology is grounded in established health economics principles and has been validated through extensive research and real-world applications.
Our Goals
National Priority Setting
Providing Evidence on Cost-Effectiveness
Equity Impact
Financial Risk Protection (FRP) to policymakers
How to Cite FairChoices
Johansson KA, BCEPS Team. FairChoices: a decision-support platform for health benefit package design in low- and middle-income countries. Bergen (Norway): University of Bergen, Bergen Centre for Ethics and Priority Setting; 2026. Available from: https://fairchoices.org/
User guides
Pick the persona that fits you.
Browse our user guides organized by role — select a persona to see the full set of guides curated for it.
Methods
Explore our methodologies.
Browse the methodologies behind FairChoices, grouped by area — select a category to see the full set of methods within it.
Deep Dive
Technical Overview
Explore how FairChoices works under the hood — pick a topic to read the full technical breakdown.