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Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017

Author

Listed:
  • Italla Maria Pinheiro Bezerra

    (Departamento de Pós-Graduação em Políticas Públicas e Desenvolvimento Local, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29027502, Brazil
    Departamento de Enfermagem, Laboratório de Escrita Científica, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29027502, Brazil)

  • José Lucas Souza Ramos

    (Departamento de Enfermagem, Laboratório de Escrita Científica, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29027502, Brazil)

  • Micael Colodetti Pianissola

    (Departamento de Enfermagem, Laboratório de Escrita Científica, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29027502, Brazil)

  • Fernando Adami

    (Laboratório de Epidemiologia do Centro Universitário ABC (FMABC), Santo André 09060590, Brazil)

  • João Batista Francalino da Rocha

    (Ciências da Saúde no Centro Universitário ABC (FMABC), Santo André 09060870, Brazil
    Centro de Ciências da Saúde e do Desporto (CCSD), Universidade Federal do Acre (UFAC), Rio Branco 69920900, Brazil)

  • Mariane Albuquerque Lima Ribeiro

    (Ciências da Saúde no Centro Universitário ABC (FMABC), Santo André 09060870, Brazil
    Centro de Ciências da Saúde e do Desporto (CCSD), Universidade Federal do Acre (UFAC), Rio Branco 69920900, Brazil)

  • Magda Ribeiro de Castro

    (Departamento de Enfermagem da Universidade Federal do Espírito Santo (UFES), Vitória 29075910, Brazil)

  • Juliana da Fonsêca Bezerra

    (Departamento de Enfermagem Materno Infantil (DEMI) da Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941901, Brazil)

  • Fabiana Rosa Neves Smiderle

    (Departamento de Enfermagem, Laboratório de Escrita Científica, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Vitória 29027502, Brazil)

  • Luiz Vinicius de Alcantara Sousa

    (Departamento de Saúde da Coletividade do Centro Universitário FMABC, Santo André 09060870, Brazil)

  • Carlos Eduardo Siqueira

    (Environment and Public Health, School for the Environment, Transnational Brazilian Project, The Mauricio Gastón Institute for Latino Community Development and Public Policy, UMass Boston, Boston, MA 02125, USA)

  • Luiz Carlos de Abreu

    (Departamento de Educação Integrada em Saúde na Universidade Federal do Espírito Santo (UFES), Vitória 29027502, Brazil)

Abstract

This is an ecological and time-series study using secondary data on perinatal mortality and its components from 2008 to 2017 in Espírito Santo, Brazil. The data were collected from the Mortality Information System (SIM) and Live Births Information System (SINASC) of the Unified Health System Informatics Department (DATASUS) in June 2019. The perinatal mortality rate (×1000 total births) was calculated. Time series were constructed from the perinatal mortality rate for the regions and Espírito Santo. To analyze the trend, the Prais–Winsten model was used. From 2008 to 2017 there were 8132 perinatal deaths (4939 fetal and 3193 early neonatal) out of a total of 542,802 births, a perinatal mortality rate of 15.0/1000 total births. The fetal/early neonatal ratio was 1.5:1, with a strong positive correlation early neonatal mortality rate, perinatal mortality rate, r (9) = 0.8893, with a significance level of p = 0.000574. The presence of differences in trends by health region was observed. Risk factors that stood out were as follows: mother’s age ranging between 10 and 19 or 40 and 49 years old, with no education, a gestational age between 22 and 36 weeks, triple and double pregnancy, and a birth weight below 2499 g. Among the causes of death, 49.70% of deaths were concentrated in category of the tenth edition of the International Classification of Diseases, fetuses and newborns affected by maternal factors and complications of pregnancy, labor, and delivery (P00–P04), and 11.03% were in the category of intrauterine hypoxia and birth asphyxia (P20–P21), both related to proper care during pregnancy and childbirth. We observed a slow reduction in the perinatal mortality rate in the state of Espírito Santo from 2008 to 2017.

Suggested Citation

  • Italla Maria Pinheiro Bezerra & José Lucas Souza Ramos & Micael Colodetti Pianissola & Fernando Adami & João Batista Francalino da Rocha & Mariane Albuquerque Lima Ribeiro & Magda Ribeiro de Castro & , 2021. "Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017," IJERPH, MDPI, vol. 18(21), pages 1-19, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11671-:d:673732
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    References listed on IDEAS

    as
    1. Morris, N.M. & Udry, J.R. & Chase, C.L., 1975. "Shifting age parity distribution of births and the decrease in infant mortality," American Journal of Public Health, American Public Health Association, vol. 65(4), pages 359-362.
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