Evidence map›Paper›PMID 32736391›Full record

ArticleRevista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia2020

Pattern of Live Births in Rio de Janeiro State, Brazil, According to Robson Groups and the Kotelchuck Index Classification - 2015/2016.

Luciana Leite de Mattos Alcantara, Núbia Karla de Oliveira Almeida, Renan Moritz Varnier Rodrigues de Almeida

Abstract read
In one paragraph

Article in Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia, 2020. 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.

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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

3 authors.

Luciana Leite de Mattos AlcantaraPrograma de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-2309-6976
Núbia Karla de Oliveira AlmeidaDepartamento de Estatística, Universidade Federal Fluminense, Niterói, RJ, Brazil.ORCID 0000-0003-3781-7391
Renan Moritz Varnier Rodrigues de AlmeidaPrograma de Engenharia Biomédica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-0158-7432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the patterns of hospital births in the state of Rio de Janeiro (RJ), Brazil, between 2015 and 2016; considering the classification of obstetric characteristics proposed by Robson and the prenatal care index proposed by Kotelchuck.

methodsData obtained from the Information System on Live Births of the Informatics Department of the Brazilian Unified Health System (SINASC/DATASUS, in the Portuguese acronym) databases were used to group pregnant women relatively to the Robson classification. A descriptive analysis was performed for each Robson group, considering the variables: maternal age, marital status, schooling, parity, Kotelchuck prenatal adequacy index and gestational age. A logistic model estimated odds ratios (ORs) for cesarean sections (C-sections), considering the aforementioned variables.

resultsOut of the 456,089 live births in Rio de Janeiro state between 2015 and 2016, 391,961 records were retained, 60.3% of which were C-sections. Most pregnant women (58.6%) were classified in groups 5, 2 or 3. The percentage of C-sections in the Robson groups 1, 2, 3, 4, 5 and 8 was much higher than expected. Prenatal care proved to be inadequate for women who subsequently had a vaginal delivery, had an unfavorable family structure and a lower socioeconomic status (mothers without partners and with lower schooling), compared with those undergoing cesarean delivery. For a same Robson group, the chance of C-section increases when maternal age rises (OR = 3.33 for 41-45 years old), there is the presence of a partner (OR = 1.81) and prenatal care improves (OR = 3.19 for "adequate plus").

conclusionThere are indications that in the state of RJ, from 2015 to 2016, many cesarean deliveries were performed due to nonclinical factors.

Indexed as

Live BirthPrenatal CareAdolescentAdultBrazilCesarean SectionEducational StatusFemaleGestational AgeHumansLabor OnsetLabor PresentationMarital StatusMaternal AgeParityPregnancy

Identifiers

PMID32736391
PMCPMC10316838

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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.