Treatment Algorithms

September 2007

Hepatitis C Virus Patient Flow Model and Treatment Algorithm: Analysis of the Seven Major Pharmaceutical Markets

Report Authors
John M. Lebbos, M.D.
Jason LaBonte, Ph.D.
Aaron Woolsey, Ph.D.

Introduction:

With the relatively poor efficacy of current therapies for hepatitis C (HCV), the treatment-eligible patient population is severely undertreated, presenting a prime opportunity for drug development. This report provides an in-depth view of HCV patient populations for a 15-year period, 2006–2021. The HCV patient flow model is an annualized patient forecast that combines data from multiple sources into one syndicated report:

- The base year of the patient forecast (2006) is informed by IMS sales and volume data as well as patient-level claims data from Pharmetrics, which provides data on the lines of therapy currently used to treat HCV.

- DR used both a primary survey of 100 U.S. gastroenterologists and hepatologists and the primary literature to inform assumptions that drive the patient forecast (2007-2021).

The 15-year patient forecast is included with the report and includes all of our assumptions, which can be modulated by clients to generate custom scenarios. The model estimates diagnosis and drug-treatment rates in both the HCV treatment-naive and HCV treatment-nonresponder subpopulations by genotype on an annual basis. The model’s assumptions are based upon primary research conducted by Decision Resources and on available data from published research, conferences, population surveys, and audit databases—the model accounts for the efficacy of therapy (first-, second-, and third-line) by HCV genotype, incidence, mortality, and physician-informed assumptions regarding future medical practice.

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