Modeling Hepatitis C Elimination Among People Who Inject Drugs in New Hampshire

Importance The success of direct-acting antiviral therapies for chronic hepatitis C virus (HCV) infection led the World Health Organization to set elimination targets by 2030. For the United States to achieve these benchmarks, public health responses must target high-risk populations, such as people who inject drugs (PWID), a group with high rates of HCV incidence and low rates of treatment uptake. Objective To evaluate potential improvements in the HCV care cascade among PWID, focusing on improved testing, treatment uptake, and access to harm reduction. Design, Setting, and Participants This decision analytic model used a differential equation-based dynamic transmission model based on data from New Hampshire, an illustrative state with a large number of PWID and limited HCV treatment infrastructure. Surveillance data through 2020 was used for model parameterization, and the final analysis was conducted in May 2021. Main Outcomes and Measures Model forecasts of chronic HCV cases and advanced-stage HCV outcomes from 2022 to 2045. Results A total of 6 scenarios were tested: (1) the base case, (2) improved harm reduction, (3) improved testing, (4) improved treatment, (5) improved testing and treatment, and (6) improved testing, treatment, and harm reduction. All scenarios with improved testing, treatment uptake, and/or access to harm reduction were associated with decreases in forecasted HCV prevalence and HCV-associated mortality compared with the base case. Improving harm reduction, testing, and treatment individually were forecast to reduce prevalence of HCV in 2045 from 69.7% in the base case to 62.8%, 45.7%, and 35.5%, respectively. Combining treatment and testing improvements was associated with a 2045 prevalence of 0.3%; adding harm reduction improvements was associated with further reductions in prevalence forecasts (to 0.2%), with fewer total treatments (10 960 vs 13 219 from 2022-2045). Conclusions and Relevance In this modeling study, no single intervention was projected to achieve World Health Organization HCV elimination targets. Scenarios with improvements in both testing and treatment were associated with a prevalence of less than 3% by 2030 and achieved elimination targets. Adding improvements in harm reduction was associated with faster reductions in prevalence and fewer treatments. Question What improvements in the hepatitis C (HCV) care cascade are required to eliminate HCV among people who inject drugs (PWID)? Findings This decision analytic model of HCV transmission found that improved testing, treatment, and access to harm reduction were all associated with reductions in HCV prevalence and mortality among PWID. Improvements in both testing and treatment were associated with HCV prevalence of less than 2% by 2030. Meaning These findings suggest that HCV elimination may be possible among PWID by 2030 with improved testing and treatment; improved harm reduction may reduce the time and number of treatments required to achieve similar outcomes. This decision analytical model evaluates potential improvements in the hepatitis C virus (HCV) care cascade among people who inject drugs (PWID), focusing on improved testing, treatment uptake, and access to harm reduction.