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Liver Int ; 40(2): 286-297, 2020 02.
Article in English | MEDLINE | ID: mdl-31454466

ABSTRACT

BACKGROUNDS & AIMS: In Indonesia 1.9 million people are chronically infected with hepatitis C virus (HCV), but a national strategic plan for elimination has not yet been developed, despite the availability of low-cost treatments which could save many lives. We used epidemiological and cost modelling to estimate targets and resource requirements of a national elimination program and explore the potential impact and cost-effectiveness. METHODS: To model the HCV epidemic, we used a dynamic model, parameterised with Indonesia-specific data, accounting for disease progression, injecting drug use and demographics. Future scale-up scenarios were designed for 2018-2050 to capture possible policy choices. Costs of an initial 5-year national strategy and of long-term elimination were estimated for the most feasible scenario, as agreed with government and local partners. Cost savings from reduced drug and diagnostics prices were also estimated. The cost-effectiveness of baseline predictions and those with drug price reductions were compared to the no treatment scenario. RESULTS: Elimination by 2045, considered the most feasible path to scale-up, would prevent 739 000 new infections and avert 158 000 HCV-related deaths. The costs would be $5.6 billion (USD) using baseline prices but could fall to $2.7 billion if price reductions for HCV drugs and diagnostics are secured. With these price reductions, the incremental cost-effectiveness ratio for a 2045 elimination program would be cost-effective at $300 (USD) per year of life saved vs the no treatment scenario. CONCLUSIONS: This study has underpinned advocacy efforts to secure Indonesian government commitment to HCV elimination, and provides further inputs for HCV strategic planning efforts.


Subject(s)
Hepacivirus , Hepatitis C , Antiviral Agents/therapeutic use , Cost-Benefit Analysis , Hepatitis C/drug therapy , Hepatitis C/epidemiology , Humans , Indonesia/epidemiology , Strategic Planning
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