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States and Capitals of Health: Multilevel Health Governance in Brazil

Published online by Cambridge University Press:  18 December 2018

Jorge Antonio Alves*
Affiliation:
Jorge Antonio Alves is an assistant professor of political science at Queens College, City University of New York.
Christopher L. Gibson*
Affiliation:
Christopher L. Gibson is an assistant professor in the School for International Studies, Simon Fraser University.
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Abstract

Scholars of Brazil’s public health system commonly note the intertwined roles that federal, state, and municipal governments play in delivering care, yet few studies systematically examine varying service performance in areas with overlapping mandates, such as state capitals. This study addresses that gap by developing and analyzing a novel measure of municipal primary care provision that accounts for the proportion of the population without access to private services in 11 large capital cities, then comparing them to the noncapital municipalities in their states. The study finds that capitals generally underperform the noncapital municipalities in primary service delivery. It then draws on a comparative case study in two major capitals, Salvador and Belo Horizonte, and their encompassing states to explore how a history of cooperative or adversarial relations between state and local governments conditions the impact of partisanship, participatory institutions, and public health activists on primary care delivery.

Information

Type
Research Article
Copyright
© 2019 University of Miami 
Figure 0

Figure 1 SUS-Dependents as Share of Overall Population, 18-Year Averages (2000–2017) for 11 Capital Cities vs. Other Municipalities in Their States

Source: Authors’ calculation based on ANS 2018; DATASUS 2018; and IBGE 2018.
Figure 1

Table 1 Ratio of Primary Services to SUS-Dependents (PSSD) in Large Capitals and States, 2000–2017

Figure 2

Figure 2 Ratio of Primary Services per SUS-Dependent (PSSD), 2000–2017, Capital Cities vs. Municipalities in Their States

Source: Authors’ calculation based on SIA/SUS 2018; ANS 2018; and IBGE 2018.
Supplementary material: PDF

Alves and Gibson supplementary material

Appendix

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