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May 18, 2026Nature Communications0 citationsOpen Access

Towards hepatitis C elimination with integrated risk-based screening and decentralized care in Taiwan

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YYYen‐Po YehALAbbie Ting-Yu LinWSWei-Wen Su

Key Points

  • This research aims to evaluate the impact of the Changhua Integrated Program to Stop Hepatitis C Infection (CHIPS-C) on HCV care cascade outcomes and treatment rates.
  • Implemented a county-wide micro-elimination program in Changhua County, Taiwan.
  • Combined population-based screening with targeted outreach to high-risk groups and decentralized DAA treatment delivery.
  • Analyzed individual-level data from a population-based cohort to compare care cascade performance before and after CHIPS-C implementation.
  • Increased screening coverage from 53.7% to 90.2% after implementation.
  • Adjusted treatment completion rate rose from 38.7% to 83.9%.
  • Model projections suggest reductions in HCV-related liver cancer and mortality could meet WHO elimination targets by 2030.

Abstract

Chronic hepatitis C virus (HCV) infection remains a major cause of liver disease worldwide and requires effective strategies to achieve elimination targets. Taiwan has a substantial HCV burden, with prevalence varying by region; in Changhua County, prevalence was 4.3% before large-scale intervention. In 2019, Changhua launched a county-wide micro-elimination program—the Changhua Integrated Program to Stop Hepatitis C Infection (CHIPS-C)—which combined existing population screening with targeted outreach to higher-risk groups and decentralized delivery of curative direct-acting antiviral (DAA) treatment. Using individual-level data from a population-based cohort, we compared care cascade performance before and after CHIPS-C implementation. The program was associated with increased screening coverage (53.7% to 90.2%) and fewer individuals screened to achieve similar numbers of diagnosed infections. Improvements were driven by streamlined confirmatory testing and coordinated care delivery. Here we show that CHIPS-C substantially increased the adjusted treatment completion rate (83.9% vs 38.7% before implementation). Model-based projections indicate that these gains could reduce HCV-related liver cancer and mortality to levels meeting World Health Organization elimination targets by 2030. These findings demonstrate that integrating risk-based targeting with existing health systems can markedly improve efficiency and outcomes, providing a scalable model for accelerating HCV elimination in diverse settings. Changhua County, Taiwan launched a hepatitis C elimination initiative which integrates population-based screening and targeted strategies for high-risk groups. Here, the authors evaluate its impacts on hepatitis C virus cascade care and treatment outcomes and compare to a counterfactual scenario without the program.

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Cite This Study

Yeh et al. (2026) studied this question.

synapsesocial.com/papers/6a0aac2b5ba8ef6d83b6fb0bhttps://doi.org/10.1038/s41467-026-72912-9
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