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Participatory Health Governance and HIV/AIDS in Brazil

Published online by Cambridge University Press:  08 June 2023

Michael Touchton
Affiliation:
Michael Touchton is Associate Professor of Political Science and Faculty Lead for Global Health at the Institute for Advanced Study of the Americas, University of Miami, FL, USA. miketouchton@miami.edu.
Natasha Borges Sugiyama
Affiliation:
Natasha Borges Sugiyama is Professor of Political Science and Director of the Center for Latin American and Caribbean Studies at the University of Wisconsin–Milwaukee, WI, USA. sugiyamn@uwm.edu.
Brian Wampler
Affiliation:
Brian Wampler is Professor of Public Scholarship and Engagement, Office of the President, and Professor of Political Science in the School of Public Service at Boise State University, ID, USA.
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Abstract

This research note assesses participatory health governance practices for HIV and AIDS in Brazil. By extension, we also evaluate municipal democratic governance to public health outcomes. We draw from a unique dataset on municipal HIV/AIDS prevalence and participatory health governance from 2006–17 for all 5,570 Brazilian municipalities. We use negative binomial regression and coarsened exact matching with treatment effects to estimate the influence of community health governance institutions on HIV/AIDS prevalence. Municipalities with participatory health councils experience 14% lower HIV/AIDS prevalence than other municipalities, all else equal. Family Health Program coverage, municipal state capacity, and municipal per capita health spending are also associated with systematically lower HIV/AIDS prevalence. We conclude that participatory health governance may combat HIV and AIDS through municipal spending, education, and community mobilization. Municipal health councils can facilitate these strategies and offer opportunities for improving well-being around the world.

Information

Type
Research Notes
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of University of Miami
Figure 0

Table 1. Fixed Effects Negative Binomial Models for Association between HIV/AIDS Prevalence per 1,000 Residents, Number of Policy Councils, and PSF Coverage, 2006–17

Figure 1

Table 2. Fixed Effect Negative Binomial Models for Association between HIV/AIDS Prevalence per 1,000 Residents, Number of Policy Councils, and PSF Coverage, 2006–17

Figure 2

Table I. (a) Fixed effects negative binomial models for association between HIV/AIDS prevalence per 1,000 Residents, Number of Policy Councils, and Family Health Program Coverage, 2006-2017. Data are rate ratio (95% CI). This model uses PT mayors as a control variable instead of mayors on the political Left.

Figure 3

Table II. (a) Fixed effects negative binomial models for association between HIV/AIDS prevalence per 1,000 Residents, Number of Policy Councils, and Family Health Program Coverage, 2006-2017. Data are rate ratio (95% CI). These models include a measure of municipal civil society density, averaged across 2004-2006, the only years where data is available.

Figure 4

Table III. (a) Fixed effects negative binomial models for association between HIV/AIDS prevalence per 1,000 Residents, Number of Policy Councils, and Family Health Program Coverage, 2006-2017. Data are rate ratio (95% CI). These models include dummies for each year in the dataset.

Figure 5

Table IV. (a) Fixed effects negative binomial models for association between HIV/AIDS prevalence per 1,000 Residents, Number of Policy Councils, and Family Health Program Coverage, 2006-2017. Data are rate ratio (95% CI). These models include an interaction between the family health plan and all years. The results for all years following 2013 are significant. These are 2017 results below.