A concise summary detailing what this solution is, why it matters, and who it is designed to help.
Policy Modeling & Cost-Effectiveness
Apply scenario modeling and microsimulation to estimate the health and economic impact of policy and program options—such as taxes, subsidies, reformulation, labeling, and procurement standards.
Overview
We help decision-makers evaluate “what-if” options before investing. We combine nutrition evidence with modeling approaches to estimate expected impacts on diets, disease burden, healthcare costs, and equity. Our work supports transparent assumptions, sensitivity analyses, and decision-ready outputs that can inform policy design, program planning, and resource allocation.
Deliverables
A list of tangible outputs and concrete products clients receive upon completion of the engagement.
- Policy Model Scope & Assumptions — We define scenarios, target populations, time horizons, outcomes, and key assumptions.
- Data Inputs & Parameterization — We compile and document inputs (e.g., dietary exposure, risks, costs, effectiveness, uptake) and their sources.
- Scenario Results & Uncertainty — We deliver projected health and economic impacts with uncertainty ranges and sensitivity analyses.
- Equity & Subgroup Impact Assessment — We provide stratified estimates across key populations and settings where relevant.
- Decision-Ready Reporting — We produce technical appendices, executive summaries, and stakeholder-ready figures/tables.
Methods
The specific scientific approaches, analytical techniques, and standards used to execute the work.
- Scenario Analysis — We compare counterfactuals and policy/program options under transparent assumptions.
- Microsimulation & Comparative Risk Assessment — We model individual- or population-level pathways from diet change to outcomes.
- Cost-effectiveness & Budget Impact — We estimate costs, savings, ROI, and cost-effectiveness metrics where relevant.
- Sensitivity & Uncertainty — We test parameter uncertainty, alternative assumptions, and implementation ranges.
- Equity-focused Modeling — We evaluate differential impacts across subgroups and consider distributional effects where appropriate.
- Reproducible Workflows — We document inputs, code, and assumptions for auditability and handover.
Metrics we track
The key performance indicators and measurable outcomes used to evaluate success and demonstrate impact.
- Transparency — We track documentation completeness of inputs, assumptions, and scenario definitions.
- Robustness — We assess sensitivity of conclusions to key parameters and implementation assumptions.
- Uncertainty — We report uncertainty ranges and identify the drivers of variance in results.
- Equity Impacts — We track distributional effects across relevant subgroups.
- Decision Readiness — We ensure outputs answer the policy question clearly and comparably across scenarios.
- Reusability — We track whether models and inputs can be updated as new data become available.
Related Focus Areas
Key domains, settings, and populations where this solution is most frequently applied and drives significant impact.
Related Solutions
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