The Payer License Agreement, or "Netflix model," for hepatitis C virus therapies enables universal treatment access, lowers costs and incentivizes innovation and competition.

BACKGROUND AND AIMS: High unit prices of treatments limit access. For epidemics like that of hepatitis C virus (HCV), reduced treatment access increases prevalence and incidence, making the infectious disease increasingly difficult to manage. The objective of the current study was to construct and test an alternative pricing model, the Payer License Agreement (PLA), and determine whether it could improve outcomes, cut costs and incentivize innovation versus the current unit-based pricing model. METHODS: We built and used computational models of hepatitis C disease progression, treatment, and pricing in historical and future scenarios and quantitatively analyzed their economic and epidemiological impact in three high-income countries. RESULTS: This study had three key results regarding HCV treatment. First, if the PLA model had been implemented when interferon-free direct-acting antiviral (DAA) combinations launched, the number of patients treated and cured would have more than doubled in the first three years, while the liver-related deaths (LRDs) would have decreased by around 40%. Second, if the PLA model had been implemented beginning in 2018, the year that several Netflix-like payment models were under implementation, the number of treated and cured patients would nearly double, and the LRDs would decline by more than 55%. Third, implementing the PLA model would result in a decline in total payer costs of more than 25%, with an increase to pharmaceutical manufacturer revenues of 10%. These results were true across the three healthcare landscapes studied, the USA, the UK and Italy, and were robust against variations to critical model parameters through sensitivity analysis. CONCLUSIONS AND RELEVANCE: These results suggest that implementation of the PLA model in high-income countries across a variety of health system contexts would improve patient outcomes at lower payer cost with more stable revenue for pharmaceutical manufacturers. Health policy-makers in high-income countries should consider the PLA model for application to more cost-effective management of HCV, and explore its application for other infectious diseases with curative therapies available now or soon.

Global prevalence of hepatitis C virus in children in 2018: a modelling study.

BACKGROUND: Hepatitis C virus (HCV) prevalence estimates for adults and high-risk groups have been widely published, but the disease burden in children is poorly understood. Direct-acting antiviral drugs, which are considered to be highly effective curative therapies for HCV, are now approved for paediatric patients as young as 3 years. Reliable prevalence estimates for this population are needed to inform scale-up of treatment and national strategies. This analysis combines past modelling and epidemiological work in 104 countries and territories to estimate global HCV prevalence in children in 2018. METHODS: In this modelling study, a comprehensive literature review for articles published between Jan 1, 2000, and March 31, 2019, was used to determine historical HCV prevalence estimates in children in all 249 countries and territories of the world. We identified published HCV prevalence estimates for children aged 0-18 years who are not at high risk of HCV infection in 39 countries and territories and inputted them into dynamic Markov disease-burden models to estimate viraemic HCV prevalence in 2018. For 25 of them, which had complete data, available information on HCV prevalence in children was used to build regression models to predict paediatric prevalence in an additional 65 countries and territories that had country-specific or territory-specific data about predictors only. Regression models were created for each 5-year paediatric age cohort from 0 to 19 years, considering several predictor variables. The data and forecasts from the 104 countries and territories for which data were available were used to calculate HCV prevalence by Global Burden of Disease region, which was then applied to the remaining 145 countries and territories to generate a global estimate. FINDINGS: The global estimate for viraemic prevalence in the paediatric population aged 0-18 years was 0·13% (95% uncertainty interval 0·08-0·16), corresponding to 3·26 million (2·07-3·90) children with HCV in 2018. HCV prevalence increased with age in all countries and territories. HCV prevalence in women of childbearing age was the strongest predictor of HCV prevalence in children aged 0-4 years (p<0·0001). Prevalence of HCV in adults was significantly associated with HCV prevalence in children aged 5-19 years (p<0·0001), and the proportion of HCV infections in people who inject drugs was significantly associated with HCV prevalence in children aged 15-19 years (p=0·036). INTERPRETATION: Most studies on HCV prevalence in children focus on high-risk groups and highly endemic geographic areas. Our analysis provides global prevalence estimates of HCV in the paediatric population. Treatment in paediatric patients requires different clinical and population health management optimisation than in adults. Because of this heterogeneity, country-specific or territory-specific and age-specific HCV prevalence estimates can help countries and territories to improve national HCV elimination strategies. FUNDING: Gilead Sciences, John C Martin Foundation, and private donors.