Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná
ABSTRACT Objective: To analyze the spatial distribution of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná. Methods: Ecological, cross-sectional study of neonatal near miss rates in municipalities in the state of Paraná, from 2020 to 2022, obtained through dat...
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Associação Brasileira de Pós-Graduação em Saúde Coletiva
2025-05-01
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| Series: | Revista Brasileira de Epidemiologia |
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| author | Maria Luiza Melo da Silva Natan Nascimento de Oliveira Andreia Ferdin Maria José Quina Galdino Emiliana Cristina Melo Rosana Rosseto de Oliveira |
| author_facet | Maria Luiza Melo da Silva Natan Nascimento de Oliveira Andreia Ferdin Maria José Quina Galdino Emiliana Cristina Melo Rosana Rosseto de Oliveira |
| author_sort | Maria Luiza Melo da Silva |
| collection | DOAJ |
| description | ABSTRACT Objective: To analyze the spatial distribution of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná. Methods: Ecological, cross-sectional study of neonatal near miss rates in municipalities in the state of Paraná, from 2020 to 2022, obtained through data from the Live Birth Information System (SINASC) and the Mortality Information System (SIM), connected through deterministic linkage. The spatial distribution of neonatal near miss rates, socioeconomic indicators (maternal age and race/ethnicity), and healthcare indicators (type of delivery and number of prenatal consultations) were performed. Global and Local Moran's Index were used for spatial analysis. Results: The neonatal near miss rate in Paraná was 28.46 per thousand live births. Health regions (HR) 4th HR - Irati, 3rd HR - Ponta Grossa, 6th HR - União da Vitória, and 17th HR - Londrina stood out with high rates of neonatal near miss. Concerning the indicators, significant rates were evident among women of black, yellow, and indigenous race/color, as well as inadequacies in prenatal. Conclusions: The results highlight priorities in the Eastern and Northern macro-regions, where high-high clusters indicate an urgent need to assess access and quality of care. Additionally, there is a need to investigate neonatal near miss in Black, Yellow, and Indigenous women, as well as low prenatal adherence or coverage. |
| format | Article |
| id | doaj-art-70270f400f9f4b6593c4c5b22b3dc22a |
| institution | OA Journals |
| issn | 1980-5497 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Associação Brasileira de Pós-Graduação em Saúde Coletiva |
| record_format | Article |
| series | Revista Brasileira de Epidemiologia |
| spelling | doaj-art-70270f400f9f4b6593c4c5b22b3dc22a2025-08-20T01:54:38ZengAssociação Brasileira de Pós-Graduação em Saúde ColetivaRevista Brasileira de Epidemiologia1980-54972025-05-012810.1590/1980-549720250023Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of ParanáMaria Luiza Melo da Silvahttps://orcid.org/0000-0001-7921-9635Natan Nascimento de Oliveirahttps://orcid.org/0000-0001-7239-4289Andreia Ferdinhttps://orcid.org/0009-0009-9324-1463Maria José Quina Galdinohttps://orcid.org/0000-0001-6709-3502Emiliana Cristina Melohttps://orcid.org/0000-0003-1013-4574Rosana Rosseto de Oliveirahttps://orcid.org/0000-0003-3373-1654ABSTRACT Objective: To analyze the spatial distribution of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná. Methods: Ecological, cross-sectional study of neonatal near miss rates in municipalities in the state of Paraná, from 2020 to 2022, obtained through data from the Live Birth Information System (SINASC) and the Mortality Information System (SIM), connected through deterministic linkage. The spatial distribution of neonatal near miss rates, socioeconomic indicators (maternal age and race/ethnicity), and healthcare indicators (type of delivery and number of prenatal consultations) were performed. Global and Local Moran's Index were used for spatial analysis. Results: The neonatal near miss rate in Paraná was 28.46 per thousand live births. Health regions (HR) 4th HR - Irati, 3rd HR - Ponta Grossa, 6th HR - União da Vitória, and 17th HR - Londrina stood out with high rates of neonatal near miss. Concerning the indicators, significant rates were evident among women of black, yellow, and indigenous race/color, as well as inadequacies in prenatal. Conclusions: The results highlight priorities in the Eastern and Northern macro-regions, where high-high clusters indicate an urgent need to assess access and quality of care. Additionally, there is a need to investigate neonatal near miss in Black, Yellow, and Indigenous women, as well as low prenatal adherence or coverage.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2025000100419&lng=en&tlng=enNear miss, healthcareIndicators of morbidity and mortalityInfant, newbornInformation systems |
| spellingShingle | Maria Luiza Melo da Silva Natan Nascimento de Oliveira Andreia Ferdin Maria José Quina Galdino Emiliana Cristina Melo Rosana Rosseto de Oliveira Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná Revista Brasileira de Epidemiologia Near miss, healthcare Indicators of morbidity and mortality Infant, newborn Information systems |
| title | Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná |
| title_full | Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná |
| title_fullStr | Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná |
| title_full_unstemmed | Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná |
| title_short | Spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of Paraná |
| title_sort | spatial analysis of neonatal near miss and socioeconomic and healthcare indicators in the state of parana |
| topic | Near miss, healthcare Indicators of morbidity and mortality Infant, newborn Information systems |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2025000100419&lng=en&tlng=en |
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