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

<h4>Introduction</h4>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 diffic...

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Main Authors: Claudia Geue, Olivia Wu, Yiqiao Xin, Robert Heggie, Sharon Hutchinson, Natasha K Martin, Elisabeth Fenwick, David Goldberg, Consortium, ECDC
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0145022
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author Claudia Geue
Olivia Wu
Yiqiao Xin
Robert Heggie
Sharon Hutchinson
Natasha K Martin
Elisabeth Fenwick
David Goldberg
Consortium
ECDC
author_facet Claudia Geue
Olivia Wu
Yiqiao Xin
Robert Heggie
Sharon Hutchinson
Natasha K Martin
Elisabeth Fenwick
David Goldberg
Consortium
ECDC
author_sort Claudia Geue
collection DOAJ
description <h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.
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spelling doaj-art-cb76e055e6204a37ab95b99e1cd545b52025-08-20T03:50:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014502210.1371/journal.pone.0145022Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.Claudia GeueOlivia WuYiqiao XinRobert HeggieSharon HutchinsonNatasha K MartinElisabeth FenwickDavid GoldbergConsortiumECDC<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.https://doi.org/10.1371/journal.pone.0145022
spellingShingle Claudia Geue
Olivia Wu
Yiqiao Xin
Robert Heggie
Sharon Hutchinson
Natasha K Martin
Elisabeth Fenwick
David Goldberg
Consortium
ECDC
Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
PLoS ONE
title Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
title_full Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
title_fullStr Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
title_full_unstemmed Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
title_short Cost-Effectiveness of HBV and HCV Screening Strategies--A Systematic Review of Existing Modelling Techniques.
title_sort cost effectiveness of hbv and hcv screening strategies a systematic review of existing modelling techniques
url https://doi.org/10.1371/journal.pone.0145022
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