The aim of study was to understand care strategies for homeless women, focusing on aspects of sexual and reproductive health from the perspective of Street Outreach Office strategy professionals. This is a qualitative study carried out in a large city in the countryside of São Paulo, Brazil. Data were collected from December 2020 to April 2021 through semi-structured interviews, and the results were obtained through content analysis and thematic modality. Nine health professionals participated in this study, and the analysis of the interviews allowed identifying three thematic categories: (i) being female and sex on the streets (violence and oppression); (ii) gynecology as a gateway to comprehensive care for homeless women; and (iii) pregnancy, puerperium and motherhood in the context of the streets. This study contributes to the reflection of professional practices within the Street Outreach Office, allowing the understanding of challenges in assisting homeless women, aiming to raise awareness of professionals and services that make up the health care network.

Objective: To assess the evolution of COVID-19 among Brazilian pregnant women, identifying sociodemographic and clinical predictors related to admission to ICU - Intensive Care Unit and death. Method: Cross-sectional, population-based study, carried out with a secondary database, based on data from the Influenza Epidemiological Surveillance Information System. Descriptive analysis was performed, followed by multiple linear regression with Poisson response, adopting critical p < 0.05. Results: Intensive care admission rates of 28.2% and death rates of 9.5% were identified. Region of residence, gestational trimester, number of comorbidities and respiratory signs and symptoms were associated with the risk of admission to intensive care. Age over 34 years, comorbidities, oxygen saturation equal to or less than 95%, admission to intensive care and ventilatory support, invasive or not, increased the risk of death. Conclusion: Sociodemographic and clinical predictors showed an association with hospitalization in intensive care and death of pregnant women with COVID-19.

Maternal mortality remains a critical global public health issue, particularly in low‐ and middle‐income settings where failures in surveillance, early diagnosis, and clinical decision making compromise obstetric care. In this context, the present study aimed to critically review the scientific literature on the use of artificial intelligence (AI) in gynecologic and obstetric health, focusing on the prevention of avoidable deaths and severe maternal events. This is a narrative literature review with a qualitative and exploratory‐interpretative approach, conducted between May and June 2025 in relevant electronic databases, following structured axes for narrative reviews and well‐defined eligibility criteria. A total of 403 records were identified, of which 17 studies met the criteria and were included in the analysis, supported by the Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires software. The results showed that AI has been used to predict obstetric risks such as pre‐eclampsia, postpartum hemorrhage, and preterm birth through machine learning algorithms, neural networks and predictive models based on electronic health records and laboratory tests. Tools such as clinical decision support systems, portable devices, and mobile applications have also optimized care, particularly in regions with limited infrastructure. However, challenges remain concerning the validation of algorithms across diverse populations, the inclusion of sociodemographic variables, and ethical considerations. In conclusion, AI is a promising technology in obstetric care, with the potential to reduce maternal morbidity and mortality. Nevertheless, its implementation requires ethical guidelines, adequate professional training, and inclusive public policies that promote digital equity in maternal and child healthcare.

Objetivo: identificar e analisar a produção científica sobre a evolução da COVID-19 em gestantes/puérperas segundo cor da pele/raça. Metodologia: trata-se de Revisão Integrativa da Literatura (RIL), com busca nas bases de dados EMBASE, LILACS, portal PUBMED/MEDLINE e Web of Science realizada em fevereiro de 2021. A partir da estratégia PICO foi construída a pergunta de pesquisa: Há evidências que gestantes/puérperas pretas com COVID-19, tratadas em ambiente hospitalar, quando comparadas às gestantes brancas, evoluem com mais gravidade (necessidade de internação em Unidade de Terapia Intensiva/Óbito)? Foram utilizados os termos indexados no vocabulário estruturado dos Descritores em Ciências da Saúde (DeCS) e Medical Subject Headings (MeSH terms): “COVID-19” OR “2019-nCoV” AND “Gestante” OR “Cuidado pré-natal” OR “gravidez” AND “Raça” OR “Grupos Raciais” OR “Racismo” OR “Iniquidades Sociais” OR “Afro-americano” AND “Hospitalização” OR “Unidade de Internação” AND “Morte” OR “Causas de Morte” OR “Morte Materna” OR “Unidades de Terapia Intensiva”. Resultados: foram identificados seis estudos, realizados nos Estados Unidos da América (três estudos), Reino Unido (um estudo) e Brasil (dois estudos) e apenas um deles foi classificado com nível de evidência 4, sendo os demais de nível 6. Todos os estudos eram observacionais, muitas vezes com amostras pequenas e grupos étnicos variados, não permitindo conclusões efetivas. Dois estudos brasileiros que utilizaram banco de dados secundários e de base populacional encontraram a raça/cor preta como fator de risco para COVID-19 grave. Conclusão: com os estudos analisados, não foi possível estabelecer clara relação entre raça/cor e desfechos negativos (necessidade de internação em Unidade de Terapia Intensiva/óbito) da COVID-19 entre gestantes/puérperas.

The aim of this study was to evaluate the evolution of COVID-19 related to race/skin color among Brazilian pregnant women registered on the Sistema de Informação de Vigilância da Gripe (SIVEP Gripe). This is a population-based study, based on the data from SIVEP Gripe, with data collected at two time points, August 2020 and February 2021. From the complete database (575,935 cases on August 8, 2020 and 1,048,576 cases on January 2, 2021), the weeks 13 to 32 (563,851 cases) and 33 to 53 (469,241 cases) were selected. We selected cases of pregnant women with white, brown and black skin color and final evolution (1,884 and 1,286 cases). The final sample (939 and 858 cases) was defined by including participants who had all the targeted information recorded. The outcome variables were hospitalization, Intensive Care Unit (ICU) admission and COVID-19 deaths. The present study identified that there was a drop of approximately two-thirds in the proportion of pregnant women who required ICU care or died, when comparing the first and second periods. In the second period, black pregnant women had approximately five times higher risk of death compared to white and brown women.

Background: Maternal mortality in Brazil remains a critical indicator of social and racial inequalities, reflecting structural failures in access to and quality of obstetric care. Black women, particularly those categorized as black or brown, are at a higher risk of dying during pregnancy, childbirth, or the postpartum period. This is the result of the intersection of institutional racism, poverty, and social vulnerabilities. This study aimed to analyze trends and associated factors of maternal mortality among black women in Brazil from 2000 to 2020. Methods: This is a retrospective cohort analytical study using data from the Brazilian Mortality Information System. The sample included women aged 10 to 49 years whose underlying cause of death was classified under ICD-10 codes O00–O99. Descriptive and bivariate analyses were conducted, as well as Poisson and multinomial logistic regressions to estimate adjusted risk ratios according to skin color, education, region, type, and place of death. Results: A total of 40,907 maternal deaths were identified, with 59.2% occurring among black women. The maternal mortality ratio was 39% higher among black women compared to white women and more than double among Indigenous women. Low education, residence in the North and Northeast regions, deaths outside hospital settings, and lack of formal investigation were independently associated with increased risk. Direct obstetric causes accounted for most deaths, with hypertensive disorders and puerperal complications being the leading conditions. Conclusions: Maternal mortality among black women in Brazil reveals deep structural inequalities. Urgent public policies that incorporate an intersectional perspective, addressing race, gender, and class, are necessary to reduce disparities and ensure equitable and dignified maternal healthcare.