Neonatal near miss in a State of Northeastern Brazil

Near miss characterization and determinants

Datos Bibliográficos

ID19590982
AutoresDaiane Porto Nery (0009-0001-0794-0690, Universidade Federal da Bahia), Ana Carolina Da Silva Andrade (0000-0002-3366-4423, Fundação Oswaldo Cruz), Daniela Silva Rocha (Universidade Federal da Bahia), Vanessa Moraes Bezerra (0000-0001-5333-2875, Universidade Federal da Bahia, autor de correspondencia)
EditoresJulia Robinson (0000-0003-0719-3995)
Año2026
Volumen6
Número3
Páginase0005064
Fecha de publicación2026-03-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPLOS Global Public Health (JOURNAL)
Identificadores de la revistaISSN: 2767-3375 • E-ISSN: 2767-3375
EditorialPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0005064
PMID41790844
OpenAlexW7134111013
IdiomaEN
Referencias citadas26

This study aimed to evaluate neonatal near miss (NNM) in a state in northeastern Brazil and to identify possible sociodemographic, obstetric, childbirth, and healthcare-related determinants. This cohort study of live births was conducted from 2012 to 2020 in Bahia, Brazil (n = 1,821,384), using data retrieved from national health information systems (Live Birth Information System and Mortality Information System). The criteria for defining NNM were gestational age

Apgar score · Birth weight · Cohort study · Confidence interval · Gestational age · Logistic regression · Near miss · Odds · Odds ratio · Maternal and Neonatal Healthcare · Neonatal Health and Biochemistry · Nursing Diagnosis and Documentation