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Mathematical and economic modelling for optimal strategies to screen and treat chronic hepatitis C virus patients using novel antiviral agents with cost-effectiveness and budget impact analyses in Thai setting

Home > Research Projects > Strategy 3 : HTA Research > Mathematical and economic modelling for optimal strategies to screen and treat chronic hepatitis C virus patients using novel antiviral agents with cost-effectiveness and budget impact analyses in Thai setting

Project Code

-

Research team

Researchers

Dr.Wirichada Pan-ngum

Co - Researcher

Waranya Rattanavipapong

Yot Teerawattananon, PhD.

Project Details

Strategies
Category
Support
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Project duration

Start: 1 April 2018
End: 30 April 2019

Contact
[email protected]

Project Status

Conducting Research - 40%

Viewer: 1593

Publish date29 September 2018 18:03

Project Summary

Chronic hepatitis C virus (HCV) infection is a major cause of cirrhosis, end-stage liver disease and hepatocellular carcinoma (HCC). It has been calculated that 130-170 million people are infected with HCV, with a global prevalence of infection estimated at 2%-3%. Approximately 75%-85% of people infected with HCV will develop chronic hepatitis, 60%-70% will develop hepatic steatosis or fibrosis, 5%-20% will develop cirrhosis and in 1%-5% disease will progress to life-threatening complications and HCC, within 20 years from acute infection.   Despite the great successes achieved in the fields of virology and diagnostics, several difficulties affect improvements in hepatitis C virus (HCV) infection control and eradication in the new era. New HCV infections still occur, especially in some of the poorest regions of the world, where HCV is endemic and long-term sequelae have a growing economic and health burden.   This study aims to perform cost-effectiveness analysis of potential screening and treatment allocation strategies for chronic hepatitis C infections focusing on novel antiviral drugs in Thailand as well as to determine the feasibility of the new treatment policy by assessing human resource on health impact and budget impact using mathematical modelling approach. The findings will be useful for guiding the drug price negotiation and treatment allocation strategy to yield maximum benefit at individual and society levels.

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Activity

Health Intervention and Technology Assessment Program Foundation
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