Factors associated with neonatal near miss in a Midwest capital in Brazil

Author:

Modes Priscilla Shirley Siniak dos Anjos1ORCID,Gaíva Maria Aparecida Munhoz1ORCID,Andrade Amanda Cristina de Souza1ORCID,Guimarães Lenir Vaz1ORCID

Affiliation:

1. Universidade Federal de Mato Grosso, Brazil

Abstract

Abstract Objectives: to estimate neonatal near miss rates and investigate sociodemographic, obstetric, childbirth, and neonate factors residing in a Midwest capital city. Methods: observational cohort study of live births from Cuiabá in the period of 2015 to 2018, with data from the Sistemas de Informações sobre Mortalidade e sobre Nascidos Vivos (Mortality and Live Birth Information Systems). The neonatal near miss rate was calculated according to sociodemographic, obstetric, childbirth, and neonate variables. Logistic regression model was adjusted to analyze the factors associated with neonatal near miss. Results: the neonatal near miss rate was 22.8 per thousand live births and the variables showed an association with the outcome were: maternal age 35 years or older (OR=1.53; CI95%=1.17-2.00), having fewer than six prenatal consultations (OR=2.43; CI95%=2.08-2.86), non-cephalic fetal presentation (OR=3.09; CI95%=2.44-3.92), multiple pregnancy (OR=3.30; CI95%=2.57- 4.23), no live birth (OR=1.62; CI95%=1.34-1.96) or one live birth (OR=1.22; CI95%=1.00-1.48), delivery in public/university hospital (OR=2.16; CI95%=1.73-2.71) and philanthropic hospital (OR=1.51; CI95%=1.19-1.91) and non-induced labor (OR=1.50; CI95%=1.25-1.80). Conclusion: the neonatal near miss rate was 3.04 cases for each death, and neonatal near miss was influenced by maternal characteristics, obstetric history, type of birth hospital, and delivery care organization.

Publisher

FapUNIFESP (SciELO)

Subject

Public Health, Environmental and Occupational Health,Obstetrics and Gynecology,Pediatrics, Perinatology and Child Health

Reference30 articles.

1. Levels & trends in child mortality: Report 2018. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation,2018

2. Secretaria de Vigilância em Saúde. Departamento de Análise em Saúde e Vigilância de Doenças não Transmissíveis. Saúde Brasil 2019 uma análise da situação de saúde com enfoque nas doenças imunopreveníveis e na imunização,2019

3. Neonatal near miss: a systematic review;Santos JP;BMC Pregnancy and Childbirth,2015

4. Neonatal near miss and mortality: factors associated with life-threatening conditions in newborns at six public maternity hospitals in Southeast Brazil;Kale PL;Cad Saúde Pública,2017

5. Neonatal Near Miss: the need for a standard definition and appropriate criteria and the rationale for a prospective surveillance system;Santos JP;Clinics,2015

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