Optimizing diagnostic algorithms to advance Hepatitis C elimination in Italy: A cost effectiveness evaluation.

ABSTRACT:

Objectives

Optimized diagnostic algorithms to detect active infections are crucial to achieving HCV elimination. We evaluated the cost effectiveness and sustainability of different algorithms for HCV active infection diagnosis, in a context of a high endemic country for HCV infection.

Methods

A Markov disease progression model, simulating six diagnostic algorithms in the birth cohort 1969-1989 over a 10-year horizon from a healthcare perspective was used. Conventionally diagnosis of active HCV infection is through detection of antibodies (HCV-Ab) detection followed by HCV-RNA or HCV core antigen (HCV-Ag) confirmatory testing either on a second sample or by same sample reflex testing. The undiagnosed and unconfirmed rates were evaluated by assays false negative estimates and

SUBMITTER: Marcellusi A 

PROVIDER: S-EPMC9292516 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature