Adam Trickey1,2, Lindsey Hiebert3, Chase Perfect4, Caroline Thomas5, Jean Luc El Kaim4, Peter Vickerman1,2, Carl Schȕtte6, Robert Hecht3. 1. Population Health Sciences, University of Bristol, Bristol, UK. 2. NIHR Health Protection Research Unit in Evaluation of Interventions, University of Bristol, Bristol, UK. 3. Pharos Global Health Advisors, Boston, MA, USA. 4. Coalition Plus, Paris, France. 5. Persaudaraan Korban Napza Indonesia (PKNI), Jakarta, Indonesia. 6. Strategic Development Consultants, Durban, South Africa.
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.
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.
Authors: David Tordrup; Yvan Hutin; Karin Stenberg; Jeremy A Lauer; David W Hutton; Mehlika Toy; Nick Scott; Jagpreet Chhatwal; Andrew Ball Journal: Value Health Date: 2020-10-09 Impact factor: 5.725