Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians

Detalhes bibliográficos
Autor(a) principal: Rasella, Davide
Data de Publicação: 2022
Outros Autores: Morais, Gabriel Alves de Sampaio, Anderle, Rodrigo Volmir, Silva, Andréa Ferreira da, Lua, Iracema, Coelho, Ronaldo, Rubio, Felipe Alves, Magno, Laio, Machado, Daiane, Pescarini, Julia, Souza, Luís Eugênio, Macinko, James, Dourado, Inês
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/54820
Resumo: National Institute of Allergy and Infectious Diseases (NIAID). National Institute of Health (NIH) - USA.
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spelling Rasella, DavideMorais, Gabriel Alves de SampaioAnderle, Rodrigo VolmirSilva, Andréa Ferreira daLua, IracemaCoelho, RonaldoRubio, Felipe AlvesMagno, LaioMachado, DaianePescarini, JuliaSouza, Luís EugênioMacinko, JamesDourado, Inês2022-09-20T18:20:53Z2022-09-20T18:20:53Z2022RASELLA, Davide et al. Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians. PLoS One, v. 17, n. 3, p. 1-15 , 2022.1932-6203https://www.arca.fiocruz.br/handle/icict/5482010.1371/journal.pone.0265253National Institute of Allergy and Infectious Diseases (NIAID). National Institute of Health (NIH) - USA.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / ISGlobal, Hospital Clínic Universitat de Barcelona. Barcelona. Spain / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Dados e Integração de Conhecimento para Saúde. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Ministério da Saúde. Departamento de Vigilância. Departamento de condições crônicas e infecções sexualmente transmissíveis. Brasília, DF, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Universidade do Estado de Bahia. Departamento de Ciência da Vida. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Dados e Integração de Conhecimento para Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Centro de Dados e Integração de Conhecimento para Saúde. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.University of California at Los Angeles. UCLA Fielding School of Public Health. Los Angeles, California, United States of AmericaUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Background: Despite the great progress made over the last decades, stronger structural interventions are needed to end the HIV/AIDS pandemic in Low and Middle-Income Countries (LMIC). Brazil is one of the largest and data-richest LMIC, with rapidly changing socioeconomic characteristics and an important HIV/AIDS burden. Over the last two decades Brazil has also implemented the world’s largest Conditional Cash Transfer programs, the Bolsa Familia Program (BFP), and one of the most consolidated Primary Health Care (PHC) interventions, the Family Health Strategy (FHS). Objective: We will evaluate the effects of socioeconomic determinants, BFP exposure and FHS coverage on HIV/AIDS incidence, treatment adherence, hospitalizations, case fatality, and mortality using unprecedently large aggregate and individual-level longitudinal data. Moreover, we will integrate the retrospective datasets and estimated parameters with comprehensive forecasting models to project HIV/AIDS incidence, prevalence and mortality scenarios up to 2030 according to future socioeconomic conditions and alternative policy implementations. Methods and analysis We will combine individual-level data from all national HIV/AIDS registries with large-scale databases, including the “100 Million Brazilian Cohort”, over a 19-year period (2000–2018). Several approaches will be used for the retrospective quasi-experimental impact evaluations, such as Regression Discontinuity Design (RDD), Random Administrative Delays (RAD) and Propensity Score Matching (PSM), combined with multivariable Poisson regressions for cohort analyses. Moreover, we will explore in depth lagged and long-term effects of changes in living conditions and in exposures to BFP and FHS. We will also investigate the effects of the interventions in a wide range of subpopulations. Finally, we will integrate such retrospective analyses with microsimulation, compartmental and agent-based models to forecast future HIV/AIDS scenarios. Conclusion: The unprecedented datasets, analyzed through state-of-the-art quasi-experimental methods and innovative mathematical models will provide essential evidences to the understanding and control of HIV/AIDS epidemic in LMICs such as Brazil.engPublic Library of ScienceHIVPrimary Health CareSocioeconomic FactorsHTLVAtenção Primária à SaúdeFatores SocioeconômicosHIVPrimary Health CareSocioeconomic FactorsHIV AntibodiesAtenção primária à saúdeFatores SocioeconômicosEvaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Braziliansinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/54820/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALRasella, Davide - 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dc.title.en_US.fl_str_mv Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
title Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
spellingShingle Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
Rasella, Davide
HIV
Primary Health Care
Socioeconomic Factors
HTLV
Atenção Primária à Saúde
Fatores Socioeconômicos
HIV
Primary Health Care
Socioeconomic Factors
HIV Antibodies
Atenção primária à saúde
Fatores Socioeconômicos
title_short Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
title_full Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
title_fullStr Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
title_full_unstemmed Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
title_sort Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians
author Rasella, Davide
author_facet Rasella, Davide
Morais, Gabriel Alves de Sampaio
Anderle, Rodrigo Volmir
Silva, Andréa Ferreira da
Lua, Iracema
Coelho, Ronaldo
Rubio, Felipe Alves
Magno, Laio
Machado, Daiane
Pescarini, Julia
Souza, Luís Eugênio
Macinko, James
Dourado, Inês
author_role author
author2 Morais, Gabriel Alves de Sampaio
Anderle, Rodrigo Volmir
Silva, Andréa Ferreira da
Lua, Iracema
Coelho, Ronaldo
Rubio, Felipe Alves
Magno, Laio
Machado, Daiane
Pescarini, Julia
Souza, Luís Eugênio
Macinko, James
Dourado, Inês
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rasella, Davide
Morais, Gabriel Alves de Sampaio
Anderle, Rodrigo Volmir
Silva, Andréa Ferreira da
Lua, Iracema
Coelho, Ronaldo
Rubio, Felipe Alves
Magno, Laio
Machado, Daiane
Pescarini, Julia
Souza, Luís Eugênio
Macinko, James
Dourado, Inês
dc.subject.mesh.en_US.fl_str_mv HIV
Primary Health Care
Socioeconomic Factors
topic HIV
Primary Health Care
Socioeconomic Factors
HTLV
Atenção Primária à Saúde
Fatores Socioeconômicos
HIV
Primary Health Care
Socioeconomic Factors
HIV Antibodies
Atenção primária à saúde
Fatores Socioeconômicos
dc.subject.other.en_US.fl_str_mv HTLV
Atenção Primária à Saúde
Fatores Socioeconômicos
dc.subject.en.en_US.fl_str_mv HIV
Primary Health Care
Socioeconomic Factors
dc.subject.decs.en_US.fl_str_mv HIV Antibodies
Atenção primária à saúde
Fatores Socioeconômicos
description National Institute of Allergy and Infectious Diseases (NIAID). National Institute of Health (NIH) - USA.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-09-20T18:20:53Z
dc.date.available.fl_str_mv 2022-09-20T18:20:53Z
dc.date.issued.fl_str_mv 2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv RASELLA, Davide et al. Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians. PLoS One, v. 17, n. 3, p. 1-15 , 2022.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/54820
dc.identifier.issn.en_US.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0265253
identifier_str_mv RASELLA, Davide et al. Evaluating the impact of social determinants, conditional cash transfers and primary health care on HIV/AIDS: study protocol of a retrospective and forecasting approach based on the data integration with a cohort of 100 million Brazilians. PLoS One, v. 17, n. 3, p. 1-15 , 2022.
1932-6203
10.1371/journal.pone.0265253
url https://www.arca.fiocruz.br/handle/icict/54820
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dc.publisher.none.fl_str_mv Public Library of Science
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