Modeling Approaches to the Economic Evaluation of Microelimination Strategies for Hepatitis C Virus in High-Risk Populations.
Ying Chen, Yun Bao, Yueting Chen et al.
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In 30 seconds
This systematic review evaluated the modeling methods used in economic evaluations of hepatitis C virus (HCV) microelimination strategies in high-risk populations from 2015 to 2026. Fifty-five studies were included, revealing that most relied on aggregate-level frameworks. A significant finding was that only 2 models incorporated dynamic responses to interventions, highlighting a critical gap in modeling approaches.
Key findings
- Most studies used aggregate-level frameworks, with 25 employing dynamic compartmental models.
- Only 2 models allowed for dynamic responses in risk behaviors or service uptake.
- Approximately half of the models synthesized parameters without formal calibration.
- External validation against real-world data was uncommon, with only 12 studies reporting this.
Why it matters
Understanding the limitations of current economic models for HCV microelimination is crucial for clinicians and policymakers. Improved modeling can enhance the effectiveness of interventions and support global elimination efforts by ensuring that strategies are grounded in real-world dynamics.