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Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination

BACKGROUND: Hepatitis C is a disease with a strong social component, as its main transmission route is via blood, making it associated with lifestyle. Therefore, it is suitable to be worked on from the perspective of public health policy, which still has a lot of room to explore and improve, contrar...

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Autores principales: Baptista-Leite, Ricardo, Lopes, Henrique, Vandewalle, Björn, Félix, Jorge, Franco, Diogo, Clemens, Timo, Brand, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562970/
https://www.ncbi.nlm.nih.gov/pubmed/37747764
http://dx.doi.org/10.2196/38521
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author Baptista-Leite, Ricardo
Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
author_facet Baptista-Leite, Ricardo
Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
author_sort Baptista-Leite, Ricardo
collection PubMed
description BACKGROUND: Hepatitis C is a disease with a strong social component, as its main transmission route is via blood, making it associated with lifestyle. Therefore, it is suitable to be worked on from the perspective of public health policy, which still has a lot of room to explore and improve, contrary to diagnoses and treatments, which are already very refined and effective. OBJECTIVE: An interactive gamified policy tool, designated as Let’s End HepC (LEHC), was created to understand the impact of policies related to hepatitis C on the disease’s epidemiology on a yearly basis until 2030. METHODS: To this end, an innovative epidemiological model was developed, integrating Markov chains to model the natural history of the disease and adaptive conjoint analysis to reflect the degree of application of each of the 24 public health policies included in the model. This double imputation model makes it possible to assess a set of indicators such as liver transplant, incidence, and deaths year by year until 2030 in different risk groups. Populations at a higher risk were integrated into the model to understand the specific epidemiological dynamics within the total population of each country and within segments that comprise people who have received blood products, prisoners, people who inject drugs, people infected through vertical transmission, and the remaining population. RESULTS: The model has already been applied to a group of countries, and studies in 5 of these countries have already been concluded, showing results very close to those obtained through other forms of evaluation. CONCLUSIONS: The LEHC model allows the simulation of different degrees of implementation of each policy and thus the verification of its epidemiological impact on each studied population. The gamification feature allows assessing the adequate fulfillment of the World Health Organization goals for the elimination of hepatitis C by 2030. LEHC supports health decision makers and people who practice patient advocacy in making decisions based on science, and because LEHC is democratically shared, it ends up contributing to the increase of citizenship in health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/38521
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spelling pubmed-105629702023-10-11 Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination Baptista-Leite, Ricardo Lopes, Henrique Vandewalle, Björn Félix, Jorge Franco, Diogo Clemens, Timo Brand, Helmut JMIR Res Protoc Protocol BACKGROUND: Hepatitis C is a disease with a strong social component, as its main transmission route is via blood, making it associated with lifestyle. Therefore, it is suitable to be worked on from the perspective of public health policy, which still has a lot of room to explore and improve, contrary to diagnoses and treatments, which are already very refined and effective. OBJECTIVE: An interactive gamified policy tool, designated as Let’s End HepC (LEHC), was created to understand the impact of policies related to hepatitis C on the disease’s epidemiology on a yearly basis until 2030. METHODS: To this end, an innovative epidemiological model was developed, integrating Markov chains to model the natural history of the disease and adaptive conjoint analysis to reflect the degree of application of each of the 24 public health policies included in the model. This double imputation model makes it possible to assess a set of indicators such as liver transplant, incidence, and deaths year by year until 2030 in different risk groups. Populations at a higher risk were integrated into the model to understand the specific epidemiological dynamics within the total population of each country and within segments that comprise people who have received blood products, prisoners, people who inject drugs, people infected through vertical transmission, and the remaining population. RESULTS: The model has already been applied to a group of countries, and studies in 5 of these countries have already been concluded, showing results very close to those obtained through other forms of evaluation. CONCLUSIONS: The LEHC model allows the simulation of different degrees of implementation of each policy and thus the verification of its epidemiological impact on each studied population. The gamification feature allows assessing the adequate fulfillment of the World Health Organization goals for the elimination of hepatitis C by 2030. LEHC supports health decision makers and people who practice patient advocacy in making decisions based on science, and because LEHC is democratically shared, it ends up contributing to the increase of citizenship in health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/38521 JMIR Publications 2023-09-25 /pmc/articles/PMC10562970/ /pubmed/37747764 http://dx.doi.org/10.2196/38521 Text en ©Ricardo Baptista-Leite, Henrique Lopes, Björn Vandewalle, Jorge Félix, Diogo Franco, Timo Clemens, Helmut Brand. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 25.09.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Baptista-Leite, Ricardo
Lopes, Henrique
Vandewalle, Björn
Félix, Jorge
Franco, Diogo
Clemens, Timo
Brand, Helmut
Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title_full Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title_fullStr Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title_full_unstemmed Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title_short Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination
title_sort epidemiological modeling of the impact of public health policies on hepatitis c: protocol for a gamification tool targeting microelimination
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562970/
https://www.ncbi.nlm.nih.gov/pubmed/37747764
http://dx.doi.org/10.2196/38521
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