Evidence map›Paper›PMID 35270683›Full record

ArticleInternational journal of environmental research and public health2022

Efficiency Analysis in Brazil's Sao Paulo State Local Unified Health System (SUS): From Gender-Ethnicity-Power Inequities to the Dissolution of Health Effectiveness.

Simone Schenkman, Aylene Bousquat, Maria Paula Ferreira

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Simone SchenkmanSchool of Public Health, Sao Paulo University, Av. Dr. Arnaldo 715, Cerqueira César, Sao Paulo 01246-904, Brazil.ORCID 0000-0003-1140-1056
Aylene BousquatSchool of Public Health, Sao Paulo University, Av. Dr. Arnaldo 715, Cerqueira César, Sao Paulo 01246-904, Brazil.ORCID 0000-0003-2701-1570
Maria Paula FerreiraSchool of Public Health, Sao Paulo University, Av. Dr. Arnaldo 715, Cerqueira César, Sao Paulo 01246-904, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health equity is cross sectioned by the reproduction of social relations of gender, ethnicity and power. The purpose of this article is to assess how intersectional health equity determines societal health levels, in a local efficiency analysis within Brazil's Unified Health System (SUS), among Sao Paulo state municipalities. Fixed Panel Effects Model and Data Envelopment Analysis techniques were applied, according to resources, health production and intersectoral dimensions. The effect variables considered were expectation of life at birth and infant mortality rates, in 2000 and 2010, according to local health regions (HR) and regionalized healthcare networks (RRAS). Inequity was assessed both socioeconomically and culturally (income, education, ethnicity and gender). Both methods demonstrated that localities with higher inequities (income and education, gender and ethnicity oriented), associated or not to vulnerability (young and low-income families, in subnormal urban agglomerations), were the least efficient. Health production contributes too little to health levels, especially at the local level, which is highly correlated to the intersectoral dimension. Intersectional health equity, reinforced in its intertwining with ethnicity, gender and social position, is essential in order to achieve adequate societal health levels, beyond health access or sanitary and clinical efficacy.

Indexed as

EthnicityHealth EquityBrazilDelivery of Health CareHumansInfant, NewbornSolubilitycapitalismefficiencyhealth equityintersectionalityUnified Health System

Identifiers

PMID35270683
PMCPMC8910277

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.