Budget Impact Analysis

Budget Impact Model

Date:

Developed by: Gemini Model

Disclaimer: This tool provides a simplified budget impact analysis based on user inputs and general assumptions. It is for illustrative purposes only and should not replace professional financial or health economic advice.

Guide to Using the Budget Impact Model

This web application allows you to perform a simplified budget impact analysis. Navigate through the tabs to input your data and view the results.

  • Population Selection: Define your target population and relevant epidemiological parameters.
  • Assumptions Input: Set up key assumptions for your model, including market shares, time horizon, and discount rates.
  • Unit Costs: Input the per-patient costs for both the new intervention and the current standard of care.
  • Capital Costs: Add any one-time capital expenditures related to the new intervention.
  • Budget Impact Over Time: View the calculated budget impact year-over-year.
  • Sensitivity Analysis: Test the robustness of your results by varying key parameters.
  • Standard Sources: Refer to this section for typical data sources.

Remember that this model uses generalized formulas. For specific and precise analysis, consult a health economist.

Population Selection

Calculated Population:

Target Population for New Treatment: 0

Assumptions Input

Unit Costs (Per Patient Per Year)

Capital Costs (One-Time Expenditures)

Budget Impact Over Time

Annual Budget Impact:

Year New Tx Patients SOC Patients Cost New Tx ($) Cost SOC ($) Net Impact ($) Discounted Net Impact ($)

Cumulative Budget Impact (Discounted): $0

Sensitivity Analysis

Adjust the parameters below to see how the cumulative budget impact changes.

Sensitivity Analysis Results:

Scenario Parameter Value Cumulative Impact ($)

Standard Data Sources

When conducting a budget impact analysis, reliable data sources are crucial. Here are some common categories:

  • Epidemiological Data: National health statistics, disease registries, peer-reviewed literature.
  • Market Data: Pharmaceutical market research reports, company sales data, expert interviews.
  • Cost Data: Hospital billing data, national health service tariffs, published cost-of-illness studies, drug pricing databases.
  • Clinical Efficacy/Effectiveness: Clinical trial results, meta-analyses, real-world evidence studies.

Always cite your sources and use the most recent and relevant data available.

Detailed Budget Impact Report

Summary of Key Results

Cumulative Discounted Impact: $0

Time Horizon: 0 years

Discount Rate: 0%

Target Population for New Tx: 0

Annual Budget Impact

Year New Tx Patients SOC Patients Cost New Tx ($) Cost SOC ($) Net Impact ($) Discounted Net Impact ($)

Visualizations

Sensitivity Analysis Results

Scenario Parameter Value Cumulative Impact ($)