Evaluating HCV screening, linkage to care, and treatment across insurers.

Objectives: We examined how a population susceptible to hepatitis C virus (HCV) moves through the HCV screening and linkage-to-care (SLTC) continuum across insurance providers (Medicare, Medicaid, commercial) and identified opportunities for increasing the number of patients who complete the SLTC process and receive treatment.

Study Design: Discrete-time Markov model.

Methods: A cohort of 10,000 HCV-susceptible patients was simulated through the HCV SLTC process using a Markov model with parameters from published literature.

Modeling the impacts of restrictive formularies on patients with HIV.

Objectives: To model the impacts of restrictive formulary designs on outcomes for patients with HIV and to demonstrate the costs of restricting access to novel HIV regimens with better safety and efficacy profiles.

Study Design: We modified an epidemiological model of HIV incidence, progression, and treatment to simulate the effects of 5 formulary scenarios on patient outcomes in the United States.

Methods: Using a cohort of HIV-susceptible individuals, we followed patients through HIV infection, disease progression, and death.