Abstract
Background: Subscription-based payment models (SBPMs) have been adopted to expand access to hepatitis C virus (HCV) treatment within Medicaid programs. Objective: To evaluate the impact of SBPMs on HCV screening, RNA testing, and direct-acting antiviral (DAA) uptake among Medicaid Managed Care enrollees in Louisiana and Washington, and to identify factors associated with differential policy effects. Research Design: Quasi-experimental study using the synthetic control method to compare outcomes in Louisiana and Washington—the only states implementing SBPMs in July 2019—with weighted combinations of 14 control states. Subjects: Adults aged 18–64 years or older enrolled in Medicaid Managed Care between January 2018 and December 2022. Measures: Monthly HCV screening, RNA testing, DAA initiation, and refill rates identified from payer-complete closed claims. Results: Louisiana SBPM was associated with significant increases in RNA testing (+35.2/100,000 persons/mo), DAA initiation (+7.8/1000 patients/mo), and DAA refills (+24.4/1000 patients/mo; all P =0.07). Gains were broad-based across subgroups and geographically consistent. Washington SBPM was associated with nonsignificant screening changes and significant declines in DAA initiation (−3.6/1000 patients/mo) and refills (−12.9/1000 patients/mo; P =0.07), with uniformly negative or null subgroup effects. Conclusions: SBPM yielded markedly different outcomes across states. Louisiana gains likely reflect convergence with recent Medicaid expansion and prior removal of DAA restrictions, generating a large treatment-eligible pool at implementation. Washington earlier expansion (2014) and fibrosis-restriction removal (2016) may have already addressed this demand. As the federal government invests $12.3 billion in HCV elimination with SBPM as a central mechanism, payment reform must be paired with comprehensive strategies—including provider engagement, screening infrastructure, and patient navigation—to achieve elimination goals.

This publication has 26 references indexed in Scilit: