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Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy

BACKGROUND: At present, there are no specific nationwide epidemiological studies representing the whole Italian population. This study is aimed at describing the epidemiological and economic burden that HCV will generate in the next few years in Italy. Furthermore, the impact that future anti-HCV tr...

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Autores principales: Mennini, Francesco Saverio, Marcellusi, Andrea, Andreoni, Massimo, Gasbarrini, Antonio, Salomone, Salvatore, Craxì, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4069043/
https://www.ncbi.nlm.nih.gov/pubmed/24971024
http://dx.doi.org/10.2147/CEOR.S62092
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author Mennini, Francesco Saverio
Marcellusi, Andrea
Andreoni, Massimo
Gasbarrini, Antonio
Salomone, Salvatore
Craxì, Antonio
author_facet Mennini, Francesco Saverio
Marcellusi, Andrea
Andreoni, Massimo
Gasbarrini, Antonio
Salomone, Salvatore
Craxì, Antonio
author_sort Mennini, Francesco Saverio
collection PubMed
description BACKGROUND: At present, there are no specific nationwide epidemiological studies representing the whole Italian population. This study is aimed at describing the epidemiological and economic burden that HCV will generate in the next few years in Italy. Furthermore, the impact that future anti-HCV treatments may have on the burden of disease was considered. This analysis was developed for the period 2012–2030 from the perspective of the Italian National Health Service (NHS). METHODS: A published system dynamic model was adapted for Italy in order to quantify the HCV-infected population in terms of disease progression and the associated costs from 1950 to 2030. The model structure was based on transition probabilities reflecting the natural history of the disease. In order to estimate the efficacy of current anti-HCV treatment strategies for genotypes 1 and 4, the sustained virological response (SVR) rate in registration clinical trials for both boceprevir and telaprevir was estimated. It was assumed that the efficacy for patients treated with peginterferon + ribavirin was equal to the placebo arm of a randomized clinical trial (RCT) relating to boceprevir and telaprevir. For genotypes 2/3 patients it was assumed that treatment efficacy with dual therapy was equal to a SVR rate from the literature. According to the aim of this study, only direct health care costs (hospital admissions, drugs, treatment, and care of patients) incurred by the Italian NHS have been included in the model. Costs have been extrapolated using the published scientific literature available in Italy and actualized with the 2012 ISTAT (Istituto Nazionale di Statistica) Price Index system for monetary revaluation. Three different scenarios were assumed in order to evaluate the impact of future anti-HCV treatments on the burden of disease. RESULTS: Overall, in Italy, 1.2 million infected subjects were estimated in 2012. Of these, about 211,000 patients were diagnosed, while only about 11,800 subjects were actually being treated with anti-HCV drugs. A reduction of health care costs is associated with a prevalence decrease. Indeed, once the spending peak is reached during this decade (about €527 million), the model predicts a cost reduction in the following 18 years. In 2030, based on the more effective treatments currently available, the direct health care cost associated with the management of HCV patients may reach €346 million (−34.3% compared to 2012). The first scenario (new treatment in 2015 with SVR =90% and same number of treated patients) was associated with a significant reduction in HCV-induced clinical consequences (prevalence =−3%) and a decrease in direct health care expenses, corresponding to €11.1 million. The second scenario (increase in treated patients to 12,790) produced an incremental cost reduction of €7.3 million, reaching a net decrease equal to €18.4 million. In the third scenario (treated patients =16,770), a higher net direct health care cost decrease versus the base-case (€44.0 million) was estimated. CONCLUSION: Our model showed that the introduction of new treatments that are more effective could result in a quasi-eradication of HCV, with a very strong reduction in prevalence.
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spelling pubmed-40690432014-06-26 Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy Mennini, Francesco Saverio Marcellusi, Andrea Andreoni, Massimo Gasbarrini, Antonio Salomone, Salvatore Craxì, Antonio Clinicoecon Outcomes Res Original Research BACKGROUND: At present, there are no specific nationwide epidemiological studies representing the whole Italian population. This study is aimed at describing the epidemiological and economic burden that HCV will generate in the next few years in Italy. Furthermore, the impact that future anti-HCV treatments may have on the burden of disease was considered. This analysis was developed for the period 2012–2030 from the perspective of the Italian National Health Service (NHS). METHODS: A published system dynamic model was adapted for Italy in order to quantify the HCV-infected population in terms of disease progression and the associated costs from 1950 to 2030. The model structure was based on transition probabilities reflecting the natural history of the disease. In order to estimate the efficacy of current anti-HCV treatment strategies for genotypes 1 and 4, the sustained virological response (SVR) rate in registration clinical trials for both boceprevir and telaprevir was estimated. It was assumed that the efficacy for patients treated with peginterferon + ribavirin was equal to the placebo arm of a randomized clinical trial (RCT) relating to boceprevir and telaprevir. For genotypes 2/3 patients it was assumed that treatment efficacy with dual therapy was equal to a SVR rate from the literature. According to the aim of this study, only direct health care costs (hospital admissions, drugs, treatment, and care of patients) incurred by the Italian NHS have been included in the model. Costs have been extrapolated using the published scientific literature available in Italy and actualized with the 2012 ISTAT (Istituto Nazionale di Statistica) Price Index system for monetary revaluation. Three different scenarios were assumed in order to evaluate the impact of future anti-HCV treatments on the burden of disease. RESULTS: Overall, in Italy, 1.2 million infected subjects were estimated in 2012. Of these, about 211,000 patients were diagnosed, while only about 11,800 subjects were actually being treated with anti-HCV drugs. A reduction of health care costs is associated with a prevalence decrease. Indeed, once the spending peak is reached during this decade (about €527 million), the model predicts a cost reduction in the following 18 years. In 2030, based on the more effective treatments currently available, the direct health care cost associated with the management of HCV patients may reach €346 million (−34.3% compared to 2012). The first scenario (new treatment in 2015 with SVR =90% and same number of treated patients) was associated with a significant reduction in HCV-induced clinical consequences (prevalence =−3%) and a decrease in direct health care expenses, corresponding to €11.1 million. The second scenario (increase in treated patients to 12,790) produced an incremental cost reduction of €7.3 million, reaching a net decrease equal to €18.4 million. In the third scenario (treated patients =16,770), a higher net direct health care cost decrease versus the base-case (€44.0 million) was estimated. CONCLUSION: Our model showed that the introduction of new treatments that are more effective could result in a quasi-eradication of HCV, with a very strong reduction in prevalence. Dove Medical Press 2014-06-19 /pmc/articles/PMC4069043/ /pubmed/24971024 http://dx.doi.org/10.2147/CEOR.S62092 Text en © 2014 Mennini et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Mennini, Francesco Saverio
Marcellusi, Andrea
Andreoni, Massimo
Gasbarrini, Antonio
Salomone, Salvatore
Craxì, Antonio
Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title_full Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title_fullStr Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title_full_unstemmed Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title_short Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
title_sort health policy model: long-term predictive results associated with the management of hepatitis c virus-induced diseases in italy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4069043/
https://www.ncbi.nlm.nih.gov/pubmed/24971024
http://dx.doi.org/10.2147/CEOR.S62092
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