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Factors associated with neonatal near miss in Brazil

OBJECTIVE: This study evaluates the association between sociodemographic factors, maternal characteristics, organization of health services and neonatal near miss in public and private maternity hospitals in Brazil. METHODS: This is a prospective cohort of live births from the Nascer no Brasil surve...

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Detalles Bibliográficos
Autores principales: Pereira, Theonas Gomes, da Rocha, Daniele Marano, Fonseca, Vânia Matos, Moreira, Maria Elisabeth Lopes, da Gama, Silvana Granado Nogueira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688256/
https://www.ncbi.nlm.nih.gov/pubmed/33295591
http://dx.doi.org/10.11606/s1518-8787.2020054002382
Descripción
Sumario:OBJECTIVE: This study evaluates the association between sociodemographic factors, maternal characteristics, organization of health services and neonatal near miss in public and private maternity hospitals in Brazil. METHODS: This is a prospective cohort of live births from the Nascer no Brasil survey, carried out between 2011 and 2012. Variables were established from the literature and organized on three levels: distal, intermediate, and proximal. The assessment was performed based on results of the bivariate analyzes and their respective p-values, with a significance level <0.20, using the Wald test. For multivariate analysis, the variables contained at the distal level were inserted, preserved in the model when significant (p < 0.05). This was also done when adjusting the intermediate and proximal levels. RESULTS: At the distal level, no variable was significantly associated with the outcome. At the intermediate level, mother's age greater than or equal to 35 years (relative risk – RR = 1.32; 95%CI 1.04–1.66), cesarean delivery (RR = 1.34; 95%CI 1.07–1.67), smoking (RR = 1.48; 95%CI 1.04–2.10), gestational hypertensive syndrome (RR = 2.29; 95%CI 1.98–3.14), pre-gestational diabetes (RR = 2.63; 95%CI 1.36–5.05) and twin pregnancy (RR = 2.98; 95%CI 1.90–4.68) were variables associated with the outcome. At the proximal level, inadequate prenatal care (RR = 1.71; 95%CI 1.36–2.16) and the hospital/maternity being located in a capital city (RR = 1.89; 95%CI 1.40–2.55) were associated with neonatal near miss. CONCLUSIONS: The results show that neonatal near miss was influenced by variables related to the organization of health services and by maternal characteristics.