Ethnic-Regional Differences in the Allocation of High Complexity Spending in Brazil: Time Analysis 2010–2019

Luiz Oscar Machado Martins (), Marcio Fernandes dos Reis, Alfredo Chaoubah and Guilhermina Rego
Additional contact information
Luiz Oscar Machado Martins: Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
Marcio Fernandes dos Reis: Faculdade de Ciências da Saúde, Centro Universitário Presidente Antônio Carlos UNIPAC, Juiz de Fora 36025-030, Brazil
Alfredo Chaoubah: Departamento de Estatística, Universidade Federal de Juiz de Fora UFJF, Juiz de Fora 36036-900, Brazil
Guilhermina Rego: Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal

IJERPH, 2023, vol. 20, issue 4, 1-10

Abstract: The following paper presents as a research problem the ethnic-regional differences in the allocation of high complexity spending in Brazil in an analysis from 2010 to 2019. This is a descriptive research in which a generalized linear model (GLM) was developed to analyze these hospital expenditures with high complexity procedures. The total spending on high complexity procedures in Brazil has increased over the past decade. The study shows that the lowest average expenditures are found in the North and Northeast regions. When comparing the spending between different ethnicities, it was observed that the only decrease between the years 2010 and 2019 was in the amount spent on procedures in indigenous people. The spending on male patients was significantly higher compared to female patients. The highest expenditures, on the other hand, are concentrated in the regions of state capitals favoring the strengthening of hub municipalities. Geographic inequalities in access still persist, even with most states already offering almost all procedures. The Brazilian territory is very heterogeneous and needs to organize its health system by regions, therefore integrated public policies and economic and social development are urgently needed.

Keywords: high complexity; health care spending; generalized linear model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/20/4/3006/pdf (application/pdf)
https://www.mdpi.com/1660-4601/20/4/3006/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:20:y:2023:i:4:p:3006-:d:1062520

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().