Evidence map›Paper›PMID 40396815›Full record

ArticleCadernos de saude publica2025

Parliamentary amendments aimed at the Brazilian Unified National Health System and the reelection of municipal mayors in Brazil in 2024.

João Gabriel Ribeiro Pessanha Leal, Luciana Dias de Lima, Frederico Bertholini Santos Rodrigues, André Schimidt da Silva

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

João Gabriel Ribeiro Pessanha LealEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0003-4851-1435
Luciana Dias de LimaEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0002-0640-8387
Frederico Bertholini Santos RodriguesInstituto de Ciência Política, Universidade de Brasília, Brasília, Brasil.ORCID 0000-0002-2480-739X
André Schimidt da SilvaEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0002-7064-5731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Brazil, as of 2016, there has been an increase in the share of parliamentary amendments (PAs) in the federal budget, transferred from the Brazilian Ministry of Health to municipalities to fund the Brazilian Unified National Health System (SUS). This article analyzes the association between PAs focused on SUS and the reelection of municipal mayors in 2024. The research used public secondary data, involving 2,818 municipalities. The reelection of mayors was related to the per capita average of amendments transferred from the Brazilian National Health Fund, from January 2021 to October 2024. Hierarchical logistic regression was used, controlling individual and political factors of candidates, and socioeconomic and demographic municipal factors. The results indicate a positive and statistically significant association between the increase in resources for health amendments and the probability of reelection of mayors in 2024 in all models and cutoffs. Note that the values of amendments were considerably higher in municipalities with up to 20,000 inhabitants compared to the other municipalities. Possibly, the amendments consolidate the image of city mayors as capable of attracting resources, strengthening their electoral support in a context of quota of federal expenses. The political use of the amendments contrasts with the criteria adopted for the transfer of resources from SUS programs and may weaken the coordination of the Brazilian Ministry of Health.

Indexed as

Local GovernmentNational Health ProgramsPoliticsBrazilBudgetsFinancing, GovernmentHealth PolicyHumansSocioeconomic Factors

Identifiers

PMID40396815
PMCPMC12091854

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.