Zobair Younossi1,2, Deidre Blissett3, Rob Blissett3, Linda Henry4, Youssef Younossi4, Rachel Beckerman3, Sharon Hunt4. 1. Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, VA, USA. 2. Department of Medicine, Center for Liver Diseases, Inova Fairfax Hospital, Falls Church, VA, USA. 3. Maple Health Group, LLC, New York, NY, USA. 4. Center for Outcomes Research in Liver Disease, Washington, DC, USA.
Abstract
BACKGROUND & AIMS: Hepatitis C virus (HCV) treatment with all oral direct acting antiviral agents (DAA's) achieve sustained virologic response (SVR) rates of 98%. Re-assessment of general US population screening for HCV is imperative. This study compared the cost-effectiveness (CE) of three HCV screening strategies: screen all (SA), screen Birth Cohort (BCS), and screen high risks (HRS). METHODS: Using a previous designed decision-analytic Markov model, estimations of the natural history of HCV and CE evaluation of the three HCV screening strategies over a lifetime horizon in the US population was undertaken. Based on age and risk status, 16 cohorts were modelled. Health states included: Fibrosis stages 0 to 4, decompensated cirrhosis, hepatocellular carcinoma, LT, post-LT, and death. The probability of liver disease progression was based on the presence or absence of virus. Treatment was with approved all-oral DAAs; 86% were assumed to be seen annually by a primary care provider; SVR rates, transition probabilities, utilities, and costs were from the literature. One-way sensitivity analyses tested the impact of key model drivers. RESULTS: SA cost $272.0 billion [$135 279 per patient] and led to 12.19 QALYs per patient. BCS and HRS cost $274.5 billion ($136 568 per patient) and $284.5 billion ($141 502 per patient) with 11.65 and 11.25 QALYs per patient respectively. Compared to BCS, SA led to an additional 0.54 QALYs per patient and saved $2.59 billion; compared to HRS, SA led to 0.95 additional QALYs per patient and saved $12.5 billion. CONCLUSIONS: Screening the entire US population and treating active viraemia was projected as cost-saving.
BACKGROUND & AIMS:Hepatitis C virus (HCV) treatment with all oral direct acting antiviral agents (DAA's) achieve sustained virologic response (SVR) rates of 98%. Re-assessment of general US population screening for HCV is imperative. This study compared the cost-effectiveness (CE) of three HCV screening strategies: screen all (SA), screen Birth Cohort (BCS), and screen high risks (HRS). METHODS: Using a previous designed decision-analytic Markov model, estimations of the natural history of HCV and CE evaluation of the three HCV screening strategies over a lifetime horizon in the US population was undertaken. Based on age and risk status, 16 cohorts were modelled. Health states included: Fibrosis stages 0 to 4, decompensated cirrhosis, hepatocellular carcinoma, LT, post-LT, and death. The probability of liver disease progression was based on the presence or absence of virus. Treatment was with approved all-oral DAAs; 86% were assumed to be seen annually by a primary care provider; SVR rates, transition probabilities, utilities, and costs were from the literature. One-way sensitivity analyses tested the impact of key model drivers. RESULTS:SA cost $272.0 billion [$135 279 per patient] and led to 12.19 QALYs per patient. BCS and HRS cost $274.5 billion ($136 568 per patient) and $284.5 billion ($141 502 per patient) with 11.65 and 11.25 QALYs per patient respectively. Compared to BCS, SA led to an additional 0.54 QALYs per patient and saved $2.59 billion; compared to HRS, SA led to 0.95 additional QALYs per patient and saved $12.5 billion. CONCLUSIONS: Screening the entire US population and treating active viraemia was projected as cost-saving.
Authors: Javier Martínez-Sanz; María Jesús Vivancos-Gallego; Borja Manuel Fernández-Felix; Alfonso Muriel; Pilar Pérez-Elías; Almudena Uranga; Beatriz Romero; Juan Carlos Galán; Santiago Moreno; María Jesús Pérez-Elías Journal: Microbiol Spectr Date: 2022-03-31
Authors: Harrys A Torres; Anna S Lok; Maria E Suarez-Almazor; Carla L Warneke; Ahmed Kaseb; Ethan Miller; Erich M Sturgis; Jessica T Foreman; Georgios Angelidakis; Sairah Ahmed; Alessandra Ferrajoli; Felipe Samaniego; Ernest T Hawk; Jessica P Hwang Journal: Support Care Cancer Date: 2020-04-20 Impact factor: 3.603
Authors: Joshua A Barocas; Jianing Wang; Laura F White; Abriana Tasillo; Joshua A Salomon; Kenneth A Freedberg; Benjamin P Linas Journal: Health Aff (Millwood) Date: 2017-12 Impact factor: 9.048
Authors: Paul G Carty; Christopher G Fawsitt; Paddy Gillespie; Patricia Harrington; Michelle O'Neill; Susan M Smith; Conor Teljeur; Mairin Ryan Journal: Appl Health Econ Health Policy Date: 2021-12-06 Impact factor: 3.686
Authors: Benjamin Hack; Utsav Timalsina; Eshetu Tefera; Brittany Wilkerson; Emily Paku; Stephen Fernandez; Dawn Fishbein Journal: J Prim Care Community Health Date: 2021 Jan-Dec
Authors: María Buti; Raquel Domínguez-Hernández; Miguel Ángel Casado; Eliazar Sabater; Rafael Esteban Journal: PLoS One Date: 2018-11-28 Impact factor: 3.240