ASSET-HE-EE-BIA-012-001 · Version 1.1.0

Budget Impact Scenario Explorer

Build reconciled reference and adoption scenarios and see annual and cumulative budget impact.

Interpretation safeguard: Positive budget impact means projected expenditure increases; negative budget impact means projected savings. Neither result establishes clinical value, cost-effectiveness, equity, feasibility or an adoption decision.

1. Population and planning horizon

Covered population Eligible prevalence / incidence (%) Annual population growth (%) Years Capacity limit: max treated patients/year Currency / price year

2. Reference and adoption scenarios

Enter the share of eligible treated patients allocated to current care and the new technology. Shares should reconcile to 100% in each scenario.

Reference scenario

Current care share (%) New technology share (%)

Adoption scenario — final-year shares

Current care share (%) New technology share (%) Uptake pattern

3. Resource and treatment costs

Current care annual treatment cost / patient New technology annual treatment cost / patient Current care other annual resource cost / patient New technology other annual resource cost / patient Average first-year treatment exposure (%) Annual discontinuation from new technology (%)

“Other resource cost” can represent administration, monitoring, adverse-event management or other included costs. Use a broader workbook when multiple resource categories need separate audit trails.

4. Results and integrity checks

Select Calculate to reconcile the model.

Year	Eligible	Ref new	Adopt new	Reference spend	Adoption spend	Budget impact	Cumulative

How to use the result

Define the budget holder, covered population, eligibility rules and planning horizon before interpreting expenditure.
Keep the reference scenario distinct from the adoption scenario; both represent expected futures, not simply “old” versus “new” prices.
Reconcile uptake, treatment shares and displacement so patients are not created or double counted.
Account for partial-year treatment, discontinuation and capacity where they materially affect treated patient counts.
Report annual and cumulative budget impact and test uncertainty in population, uptake, treatment mix, resource use and prices.
Do not infer cost-effectiveness or affordability solely from the sign or size of budget impact.