Evidence map›Paper›PMID 36424529›Full record

ArticleBMC pregnancy and childbirth2022

Impact of socioeconomic factors and health determinants on preterm birth in Brazil: a register-based study.

Luciano de Andrade, Arthi S Kozhumam, Thiago Augusto Hernandes Rocha, Dante Grapiuna de Almeida, Núbia Cristina da Silva, Rejane Christine de Souza Queiroz, Miyoko Massago, Sharla Rent, Luiz Augusto Facchini, Antônio Augusto Moura da Silva and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Deprived areas and adverse perinatal outcome: a systematic review.Archives of gynecology and obstetrics · 2024
    Pooled it
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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

13 authors at 6 institutions in 2 countries.

Luciano de AndradeDepartment of Medicine, State University of Maringa, Block 126, Colombo Avenue, 5790, Parana, CEP: 87020-900, Maringa, Brazil. landrade@uem.br.
Arthi S KozhumamDuke Global Health Institute, Duke University, Durham, NC, USA.
Thiago Augusto Hernandes RochaDuke Global Health Institute, Duke University, Durham, NC, USA.
Dante Grapiuna de AlmeidaFederal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Núbia Cristina da SilvaDuke Global Health Institute, Duke University, Durham, NC, USA.
Rejane Christine de Souza QueirozDepartment of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Miyoko MassagoDepartment of Medicine, State University of Maringa, Block 126, Colombo Avenue, 5790, Parana, CEP: 87020-900, Maringa, Brazil.
Sharla RentDuke Global Health Institute, Duke University, Durham, NC, USA.
Luiz Augusto FacchiniDepartment of Social Medicine, Federal University of Pelotas, Pelotas, Rio Grande Do Sul, Brazil.
Antônio Augusto Moura da SilvaDepartment of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Catherine Ann StatonDuke Global Health Institute, Duke University, Durham, NC, USA.
João Ricardo Nickenig VissociDuke Global Health Institute, Duke University, Durham, NC, USA.
Erika Barbara Abreu Fonseca ThomazDepartment of Public Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Duke University · USUniversidade Federal do Maranhão · BRUniversidade Estadual de Maringá · BRDuke Institute for Health Innovation · USUniversidade Federal de Minas Gerais · BRUniversidade Federal de Pelotas · BR

Funding

Coordination for the Improvement of Higher Education Personnel finance code 001Maranhão Foundation for Research and Scientific and Technological Development RCUK-01538/19National Council for Scientific and Technological Development 443834/2018-0 and 306592/2018-5The Bill & Melinda Gates Foundation OPP1202186
6 · The paper itself

Abstract

backgroundMore than 15 million children are born preterm annually. While preterm survival rates have increased in high-income countries. Low- and middle-income countries, like Brazil, continue to battle high neonatal mortality rates due to a lack of adequate postnatal care. Globally, neonatal mortality is higher for preterm infants compared to those born at term. Our study aims to map and analyze the spatial, socioeconomic, and health coverage determinants related to preterm birth in Brazil in order to understand how spatial variations in demographics and access to primary care may affect preterm birth occurrences. 

methodsUsing publicly available national-level data from the Brazilian health system for 2008-2017, we conducted an ecological study to visualize the spatial distributions of preterm birth along with socioeconomic status, the structure of health services, and primary care work process, each consisting of multiple variables reduced via principal component analysis. Regression models were created to determine predictive effects of numeric and spatial variation of these scores on preterm birth rates.

resultsIn Brazil, preterm birth rates increased from 2008-2017, with small and rural municipalities frequently exhibiting higher rates than urban areas. Scores in socioeconomic status and work process were significant predictors of preterm birth rates, without taking into account spatial adjustment, with more positive scores in socioeconomic status predicting higher preterm birth rates (coefficient 0.001145) and higher scores in work process predicting lower preterm birth rates (coefficient -0.002416). Geographically weighted regression showed socioeconomic status to be a more significant predictor in the North, with the work process indicators being most significant in the Northeast.

conclusionsResults support that primary care work process indicators are more significant in estimating preterm birth rates than physical structures available for care. These results emphasize the importance of ensuring the presence of the minimum human resources needed, especially in the most deprived areas of Brazil. The association between social determinants of health and preterm birth rates raises questions regarding the importance of policies dedicated to foster equity in the accessibility of healthcare services, and improve income as protective proxies for preterm birth.

Indexed as

Premature BirthBrazilChildFemaleHumansInfantInfant MortalityInfant, NewbornInfant, PrematureSocioeconomic FactorsBrazilChild healthMaternal healthPreterm birthPrimary health care or Primary health care

Identifiers

PMID36424529
PMCPMC9685869
OpenAlexW4309912768

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.