NEAR MISS MATERNO E FATORES SOCIOECONÔMICOS: CONSTRUÇÃO DE UM MODELO TEÓRICO HIERÁRQUICO A PARTIR DA TEORIA DOS ATRASOS

Aline Brilhante; Rosa Lívia Freitas de Almeida; July Grassiely de Oliveira Branco; Francisco Edson de Lucena Feitosa; Joaquim Luiz de Castro Moreira; Everardo de Macedo Guanabara

doi:10.36489/saudecoletiva.2026v17i106p19666-19673

Authors

Aline Brilhante Doutorado em Saúde Coletiva; Universidade Federal do Ceará. https://orcid.org/0000-0002-3925-4898
Rosa Lívia Freitas de Almeida Doutora em Saúde Coletiva; Universidade de Fortaleza. https://orcid.org/0000-0001-6423-543X
July Grassiely de Oliveira Branco Doutora em Saúde Coletiva; Universidade de Fortaleza. https://orcid.org/0000-0001-6188-9745
Francisco Edson de Lucena Feitosa Doutorado em Ginecologia e Obstetrícia; Universidade Federal do Ceará. https://orcid.org/0000-0001-8396-2990
Joaquim Luiz de Castro Moreira Médico Ginecologista e Obstetra; Hospital Geral de Fortaleza. https://orcid.org/0000-0002-6715-0439
Everardo de Macedo Guanabara Médico Ginecologista e Obstetra; Hospital Geral César Cals. https://orcid.org/0009-0004-5666-3361

DOI:

https://doi.org/10.36489/saudecoletiva.2026v17i106p19666-19673

Keywords:

Maternal Near Miss, Socioeconomic Factors, Prenatal Care, Maternal Mortality, Quality of Health Care

Abstract

Objective: To propose a theoretical model that incorporates the relationship between sociodemographic conditions and personal history to the three delays model in the occurrence of Maternal Near Miss (NMM) episodes. Method: A cross-sectional, analytical, historical series study was conducted, with the analysis of 3,147 medical records of women admitted to three tertiary maternity hospitals in Fortaleza, Ceará, Brazil, between 2010 and 2019, who met the criteria for NMM. Data were analyzed using descriptive statistics and hierarchical logistic regression. Result: NMM was identified in 6.4% of the participants, with a higher risk for black and mixed-race women. Factors such as low education, advanced maternal age, multiparity, pre-existing diseases, and the three delays (in seeking care, in accessing the service, and in receiving care) were significantly associated with NMM. Conclusion: The proposed theoretical model was validated, demonstrating the hierarchical relationship between social determinants, health history, and delays in care as risk factors for NMM, reinforcing the need for public policies that address these inequities.

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