Real-world economic burden of hepatitis C and impact of direct-acting antivirals in France: A nationwide claims data analysis.

BACKGROUND AND AIMS: The economic impact of managing patients with hepatitis C virus (HCV) infection remains unknown. This study aimed to assess the economic burden of chronic HCV infection from a national health insurance perspective and the impact of direct-acting antivirals (DAAs) using nationwide real-world data. METHODS: Patients with chronic HCV infection were identified from the French Health Insurance Claims Databases (SNDS) and matched for age and sex to the general population. Health resource utilization and reimbursements were summarized according to healthcare expenditure items from 2012 to 2021. The economic burden attributable to chronic HCV infection was evaluated over a 10-year period. Finally, the impact of DAAs was estimated using economic data derived from the SNDS. RESULTS: A total of 145 187 patients with chronic HCV infection were identified. Among the patients eligible for DAA therapy, 81.5% had received DAA by the end of 2021. Over a 10-year period, managing patients with chronic HCV infection resulted in an additional cost of €9.71 billion (95% confidence interval [CI]: €9.66-€9.78 billion) or €9191 (95% CI: €9134-€9252) per patient per year compared to the general population. After DAA therapy, patients with chronic HCV infection had a higher economic burden than the general population, with an additional cost of €5781 (95% CI: €5540-€6028) per patient at the fifth-year post-DAA therapy. CONCLUSIONS: A significant economic burden persists among patients with HCV infection after DAA treatment. The high proportion of patients not treated with DAA therapy supports reinforcing policies for universal access.

Performance of algorithms for identifying patients with chronic hepatitis B or C infection in the french health insurance claims databases using the ANRS CO22 HEPATHER cohort.

The validity of algorithms for identifying patients with chronic hepatitis B or C virus (HBV or HCV) infection in claims databases has been little explored. The performance of 15 algorithms was evaluated. Data from HBV- or HCV-infected patients enrolled between August 2012 and December 2015 in French hepatology centres (ANRS CO22 HEPATHER cohort) were individually linked to the French national health insurance system (SNDS). The SNDS covers 99% of the French population and contains healthcare reimbursement data. Performance metrics were calculated by comparing the viral status established by clinicians with those obtained with the algorithms identifying chronic HBV- and HCV-infected patients. A total of 14 751 patients (29% with chronic HBV and 63% with chronic HCV infection) followed-up until December 2018 were selected. Despite good specificity, the algorithms relying on ICD-10 codes performed poorly. By contrast, the multi-criteria algorithms combining ICD-10 codes, antiviral dispensing, laboratory diagnostic tests (HBV DNA or HCV RNA detection and quantification, HCV genotyping), examinations for the assessment of liver fibrosis and long-term disease registrations were the most effective (sensitivity 0.92, 95% CI, 0.91-0.93 and specificity 0.96, 95% CI, 0.95-0.96 for identifying chronic HBV-infected patients; sensitivity 0.94, 95% CI, 0.94-0.94 and specificity 0.85, 95% CI, 0.84-0.86 for identifying chronic HCV-infected patients). In conclusion, the multi-criteria algorithms perform well in identifying patients with chronic hepatitis B or C infection and can be used to estimate the magnitude of the public health burden associated with hepatitis B and C in France.