Algorithm for estimating the fiscal impact of new health technologies
This method helps estimate how introducing a new health technology will affect government budgets over time. It looks at costs and savings across different sectors, especially public finances, to show the overall fiscal impact.
At a glance
Use when
When assessing new technologies with significant budget implications for public payers; during early engagement with health technology assessment bodies; for informing pricing and reimbursement decisions.
Avoid when
When only clinical or narrow healthcare cost impacts are needed; if reliable public financing or utilization data are unavailable; for technologies with minimal public sector involvement.
Inputs
Healthcare utilization data, unit costs of interventions, disease progression parameters, public funding shares, tax/revenue implications, time horizon, discount rates.
Outputs
Estimated fiscal impact over time, including annual and cumulative changes in public expenditures and revenues, breakdown by budget category, sensitivity analysis results.
How it works
The algorithm quantifies the fiscal impact of new health technologies by modeling changes in public expenditures and revenues associated with adoption. It incorporates data on healthcare utilization, unit costs, disease progression, and broader economic effects to project budgetary consequences over short- and long-term horizons. The method supports prospective and retrospective analyses within health technology assessment frameworks.
- Project
- IMPACT HTA
- Funding
- Horizon 2020
- Project status
- Completed 2021
- HTA domains
- Costs & Economic Evaluation
- Categories
- Costing & Resource UseSocietal Value
- Technology
- Non-specific
- Assumptions
- Stable healthcare pricing, consistent public funding shares, accurate disease progression forecasts, and no major policy changes during the projection period.
- Strengths
- Provides policy-relevant fiscal insights beyond clinical cost-effectiveness; allows long-term budget impact forecasting; supports cross-sectoral analysis including tax and social welfare implications.
- Limitations
- Relies on assumptions about future utilization and pricing; may not capture indirect economic effects fully; requires detailed data on public financing structures.
- Also known as
- Fiscal Impact Algorithm, Fiscal Impact Model for Health Technologies
Questions this answers
- › How will adopting this new health technology affect government spending?
- › What are the expected cost savings or increases in public budgets if this technology is implemented?
- › Over what time frame will the fiscal effects of this technology become apparent?
- › Which sectors of the public budget will be most affected by this technology?
- › Does the technology reduce long-term fiscal burden despite high initial costs?
- › How does the fiscal impact differ from traditional cost-effectiveness results?
Similar by meaning
Beta record. Generated from the primary source via AI extraction and independent audit, pending final human review.