Evidence map›Paper›PMID 39696331›Full record

ArticleBMC health services research2024

Inequalities in the geographic access to delivery services in Brazil.

Valdemar Pinho Neto, Cecilia Machado, Felipe Lima, Soraya Roman, Gilson Dutra

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

5 authors.

Valdemar Pinho NetoCenter for Empirical Studies in Economics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil. valdemar.pinho@fgv.br.
Cecilia MachadoCenter for Empirical Studies in Economics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Felipe LimaCenter for Empirical Studies in Economics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Soraya RomanCenter for Empirical Studies in Economics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Gilson DutraCenter for Empirical Studies in Economics, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 445830/2020-4Gates Foundation INV-027961
6 · The paper itself

Abstract

backgroundDespite Brazil's recent social progress, access to health services is still unequal. This article analyzes the inter-municipal distances traveled by pregnant women to access delivery services, documenting their magnitude and relationship to socioeconomic and risk factors for over a decade in Brazil.

methodsUsing data between 2007 and 2017 from the Brazilian Information System of Live Births and a matrix of inter-municipal distances, we describe the evolution of (i) the share of pregnant women that traveled across municipalities and (ii) the average distance they traveled. Next, we assess which of the previous variables explains the changes in travel distance over time. Finally, we estimate the difference in the average travel distance by individual risk factors and use regression analysis to measure the association between this distance and municipal socioeconomic determinants from the Brazilian census.

resultsWe observe that, on average, (i) the share of women traveling for childbirth increased, reaching 31% in 2017, and (ii) distances got longer, approaching the 60-kilometer mark by 2017. The increase in distance is mainly due to more women traveling. Nevertheless, regional disparities persist, especially between the north/inland and coastal regions. Women with high-risk pregnancies or newborns with risks such as low birth weight tend to travel longer distances. However, those residing in higher-development municipalities tend to travel shorter distances.

conclusionLong distances remain an obstacle to accessing delivery facilities. This matter affects the most vulnerable disproportionately. Policymakers must consider the geographic accessibility of mothers when expanding birth-related services. Additionally, more research is required to understand the decision to travel and the distance effectively traveled as different accessibility facets.

Indexed as

Health Services AccessibilitySocioeconomic FactorsAdultBrazilDelivery, ObstetricFemaleHealthcare DisparitiesHumansInfant, NewbornMaternal Health ServicesPregnancyRisk FactorsTravelYoung AdultAccessChildbirthGeo-referenced dataHealth inequality

Identifiers

PMID39696331
PMCPMC11654137

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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.