Cost-effectiveness of Universal and Targeted Hepatitis C Virus Screening in the United States. 2020

Moosa Tatar, and Susana W Keeshin, and Mark Mailliard, and Fernando A Wilson
Matheson Center for Health Care Studies, the University of Utah, Salt Lake City.

Between 2 and 3.5 million people live with chronic hepatitis C virus (HCV) infection in the US, most of whom (approximately 75%) are not aware of their disease. Despite the availability of effective HCV treatment in the early stages of infection, HCV will result in thousands of deaths in the next decade in the US. To investigate the cost-effectiveness of universal screening for all US adults aged 18 years or older for HCV in the US and of targeted screening of people who inject drugs. This simulated economic evaluation used cohort analyses in a Markov model to perform a 10 000-participant Monte Carlo microsimulation trail to evaluate the cost-effectiveness of HCV screening programs, and compared screening programs targeting people who inject drugs with universal screening of US adults age 18 years or older. Data were analyzed in December 2019. Cost per quality-adjusted life-year (QALY). Cost per QALY gained. In a 10 000 Monte Carlo microsimulation trail that compared a baseline of individuals aged 40 years (men and women) and people who inject drugs in the US, screening and treatment for HCV were estimated to increase total costs by $10 457 per person and increase QALYs by 0.23 (approximately 3 months), providing an incremental cost-effectiveness ratio of $45 465 per QALY. Also, universal screening and treatment for HCV are estimated to increase total costs by $2845 per person and increase QALYs by 0.01, providing an incremental cost-effectiveness ratio of $291 277 per QALY. The findings of this study suggest that HCV screening for people who inject drugs may be a cost-effective intervention to combat HCV infection in the US, which could potentially decrease the risk of untreated HCV infection and liver-related mortality.

UI MeSH Term Description Entries
D008297 Male Males
D008390 Markov Chains A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system. Markov Process,Markov Chain,Chain, Markov,Chains, Markov,Markov Processes,Process, Markov,Processes, Markov
D008403 Mass Screening Organized periodic procedures performed on large groups of people for the purpose of detecting disease. Screening,Mass Screenings,Screening, Mass,Screenings,Screenings, Mass
D009010 Monte Carlo Method In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993) Method, Monte Carlo
D011314 Preventive Health Services Services designed for HEALTH PROMOTION. Health Services, Preventive,Preventive Health,Preventive Health Care,Preventive Health Programs,Preventive Programs,Services, Preventive Health,Care, Preventive Health,Health Care, Preventive,Health Program, Preventive,Health Programs, Preventive,Health Service, Preventive,Health, Preventive,Preventive Health Program,Preventive Health Service,Preventive Program,Program, Preventive,Program, Preventive Health,Programs, Preventive,Programs, Preventive Health,Service, Preventive Health
D003362 Cost-Benefit Analysis A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. In contrast a cost effectiveness in general compares cost with qualitative outcomes. Cost and Benefit,Cost-Benefit Data,Benefits and Costs,Cost Benefit,Cost Benefit Analysis,Cost-Utility Analysis,Costs and Benefits,Economic Evaluation,Marginal Analysis,Analyses, Cost Benefit,Analysis, Cost Benefit,Analysis, Cost-Benefit,Analysis, Cost-Utility,Analysis, Marginal,Benefit and Cost,Cost Benefit Analyses,Cost Benefit Data,Cost Utility Analysis,Cost-Benefit Analyses,Cost-Utility Analyses,Data, Cost-Benefit,Economic Evaluations,Evaluation, Economic,Marginal Analyses
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.

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