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.

Autor: Rasella D; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; ISGlobal, Hospital Clínic - Universitat de Barcelona, Barcelona, Spain.; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil., Morais GAS; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Anderle RV; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Silva AFD; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Lua I; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Coelho R; Department of Chronic Conditions and Sexually Transmitted Infections/Department of Health Surveillance/Ministry of Health (DCCI/SVS/MS), Brasília, Brazil., Rubio FA; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Magno L; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; Life Science Department, University of the State of Bahia, Salvador, Brazil., Machado D; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil., Pescarini J; Center for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil., Souza LE; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Macinko J; UCLA Fielding School of Public Health, University of California at Los Angeles (UCLA), Los Angeles, California, United States of America., Dourado I; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 Mar 22; Vol. 17 (3), pp. e0265253. Date of Electronic Publication: 2022 Mar 22 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0265253
Abstrakt: 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.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje