Tuesday, December 22, 2015

Cost-Effectiveness of HBV and HCV Screening Strategies – A Systematic Review of Existing Modelling Techniques

Introduction
Studies evaluating the cost-effectiveness of screening for Hepatitis B Virus (HBV) and Hepatitis C Virus (HCV) are generally heterogeneous in terms of risk groups, settings, screening intervention, outcomes and the economic modelling framework. It is therefore difficult to compare cost-effectiveness results between studies. This systematic review aims to summarise and critically assess existing economic models for HBV and HCV in order to identify the main methodological differences in modelling approaches.

Methods
A structured search strategy was developed and a systematic review carried out. A critical assessment of the decision-analytic models was carried out according to the guidelines and framework developed for assessment of decision-analytic models in Health Technology Assessment of health care interventions.

Results
The overall approach to analysing the cost-effectiveness of screening strategies was found to be broadly consistent for HBV and HCV. However, modelling parameters and related structure differed between models, producing different results. More recent publications performed better against a performance matrix, evaluating model components and methodology.

Conclusion
When assessing screening strategies for HBV and HCV infection, the focus should be on more recent studies, which applied the latest treatment regimes, test methods and had better and more complete data on which to base their models. In addition to parameter selection and associated assumptions, careful consideration of dynamic versus static modelling is recommended. Future research may want to focus on these methodological issues. In addition, the ability to evaluate screening strategies for multiple infectious diseases, (HCV and HIV at the same time) might prove important for decision makers.

Below:  Summary of Cost-Effectiveness Results, HBV



Full article at:   http://goo.gl/cPJXwD

By:   
Claudia Geue, Olivia Wu, Yiqiao Xin, Robert Heggie
Health Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom

Sharon Hutchinson
School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom

Natasha K. Martin
Division of Global Public Health, University of California San Diego, San Diego, California, United States of America

Natasha K. Martin
School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom

Elisabeth Fenwick
ICON Health Economics and Epidemiology, Dublin, Ireland

David Goldberg
Health Protection Scotland, NHS Health Scotland, Glasgow, United Kingdom
  


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