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Value of biologic therapy: a forecasting model in three disease areas
L Clark Paramore1, Craig A Hunter, Bryan R Luce
1Center for Health Economics, Epidemiology & Science Policy, United BioSource Corporation, Lexington, MA 02420, USA. clark.paramore@unitedbiosource.com
Biologic therapies offer substantial return on investment (ROI) for asthma, diabetes, and colorectal cancer. Forecasts show positive ROI for these innovative treatments, highlighting societal benefits.
Area of Science:
- Health Economics
- Pharmacoeconomics
- Biotechnology
Background:
- Biologic therapies represent significant advancements in treating chronic diseases.
- Forecasting the economic impact of these therapies is crucial for resource allocation.
- Asthma, diabetes, and colorectal cancer are major public health concerns with substantial disease burden.
Purpose of the Study:
- To forecast the return on investment (ROI) for biologic therapy advancements.
- To analyze the impact on disease prevalence, morbidity, and mortality for asthma, diabetes, and colorectal cancer.
- To project economic outcomes for years 2015 and 2030.
Main Methods:
- A deterministic, spreadsheet-based forecasting model was developed.
- Return on investment was defined by reductions in disease burden (prevalence, morbidity, mortality) translated into monetary terms.
- Expert opinion guided the expected impact of biologic therapies, with quality-adjusted life years (QALYs) valued at $100,000.
Main Results:
- Base case analysis showed positive ROIs for asthma and diabetes, but below $1 for colorectal cancer.
- Expert panel predictions indicated positive ROIs for all three diseases, ranging from $4 to $207 per dollar spent.
- Considering quality-adjusted life years (QALYs) or not, ROIs remained positive across all diseases and time points.
Conclusions:
- Substantial societal returns can be expected from investments in innovative biologic therapies.
- Appropriate utilization of new biologic molecules is key to realizing these benefits.
- Forecasts rely on expert opinion and market projections, which may have inherent variances.
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