Intimate partner violence (IPV) is a challenge in Brazil. The country holds one of the highest rates of femicide in the world, most of which are preceded by IPV. We conducted a cross-sectional study with 34,334 women, aged 18 to 59 years, from the 2019 Brazilian National Health Survey to analyze the prevalence of IPV and its subtypes among the Brazilian adult women in the last 12 months, encompassing their health consequences and the use of health services resulting from IPV. We also used logistic regression models to estimate the association of sociodemographic characteristics and self-perceived health status with IPV. The prevalence of IPV among Brazilian adult women in the last 12 months was 7.6% (95% confidence interval [CI] [7.0, 8.2]). Women aged 18 to 39 years, not married, and with income of up to 1 minimum wage (MW), had higher odds of suffering IPV. Among those who reported health consequences due to IPV, 69% reported psychological consequences, and 13.9% sought health care, mostly in primary or secondary health care services in the Brazilian Unified Health System (41.9%). Regarding the self-perceived health variables, women who reported eating problems (odds ratio [OR]  =  1.29; [1.01, 1.65]), lack of interest/absence of pleasure (OR  =  1.41; [1.11, 1.79]), depressive feelings (OR  =  1.39; [1.03, 1.88]), feeling of failure (OR = 1.75; [1.36, 2.24]), and suicidal thoughts (OR = 1.73; [1.25, 2.41]) had greater odds of reporting IPV compared to those who did not report these same perceptions. The results show that younger, divorced or single, low-income women with eating problems and mental health disorders were more likely to suffer IPV. IPV often led to health problems, and many abused women sought support from public health services. Health professionals must be trained to identify and care for these women, thereby acting as allies in preventing and reducing IPV.

Objective: This study aimed to describe the prevalence of Intimate Partner Violence (IPV) and its subtypes against adult women in Brazil, as well as their health consequences, and the use of health services resulting from IPV. We also investigated the association of IPV with self-perceived health in victimized women. Methods: Cross-sectional study including 34,334 women aged 18 to 59 years from the 2019 Brazilian National Health Survey. For the analyses, the prevalence of IPV and its types in the last 12 months, health consequences, and use of health services by these women were calculated. Logistic regression models were performed to estimate the association of sociodemographic characteristics and self-perceived health status with IPV. Results: The prevalence of IPV against Brazilian adult women in the last twelve months was 7.6% (95% CI: [7.0; 8.2]). Women aged 18 to 39 years, living with a partner, single or divorced, with complete high school or incomplete higher education and income of up to 1 minimum wage, had higher odds of suffer IPV. As health consequences, approximately 69% of the women who suffered IPV reported psychological consequences. Among those who reported health consequences, 13.9% sought health care, mainly in primary or secondary health care in the Brazilian Public Unified Health System (SUS) (41.9%). Regarding the self-perceived health variables, women who reported eating problems (OR=1.29; 95% CI [1.01; 1.65]), lack of interest/absence of pleasure (OR=1.41; 95% CI [1.11; 1.79]), depressive feeling (OR=1.39; 95% CI [1.03; 1.88]), feeling of failure (OR=1.75; 95% CI [1.36; 2.24]) and suicidal thinking (OR=1.73; 95% CI [1.25; 2.41]) had greater odds of reporting IPV, when compared to those who did not report these same perceptions. Conclusion: The results show that younger, divorced or single, low-income women with eating and mental health problems were more likely to suffer IPV. IPV often led to health problems, and many abused women sought support from public health services due to IPV. Therefore, health professionals must be trained to identify and care for these women, thereby acting as allies in preventing and reducing violence against women in Brazil.

Objective: To describe the performance of Primary Health Care, according to conglomerates of São Paulo cities that present homogeneous indicators. Methods: This is a descriptive study, based on secondary data extracted from official sources of the Unified Health System, for the year 2018. An analysis matrix was created, with the proposition of performance (access, effectiveness and adequacy) and context indicators (population, health determinants and financing) selected and organized in dimensions and sub-dimensions. Cluster Analysis was used to identify the groups of homogeneous municipalities. Results: 645 municipalities were divided in 6 conglomerates. Clusters 2 and 3 were formed predominantly by small municipalities with greater access to health; cluster 3 has less social vulnerability and greater investment in health. Clusters 1, 4 and 5 were formed by the largest municipalities with less access to health; cluster 4 presents greater social vulnerability, less coverage of private health plans and a greater percentage of health resources; cluster 5 was characterized by greater Gross Domestic Product per capita and greater coverage of private health plans. Cluster 6, formed by the city of São Paulo, was a particular case. Cluster 2 drew attention, as it was shown to have increased coverage, but signaled lower efficacy and adequacy levels. Cluster 3 had the best performance among all clusters. Conclusion: These findings can support regional and municipal management, given the complexity of the territory of São Paulo, pointing to scenarios that demand broader public management initiatives.

RESUMO: Objetivo: Descrever o desempenho da atenção primária à saúde, segundo clusters de municípios paulistas que apresentaram indicadores homogêneos. Métodos: Trata-se de um estudo descritivo, com base em dados secundários extraídos de fontes oficiais do Sistema Único de Saúde, referentes ao ano de 2018. Foi elaborada uma matriz de análise, com a proposição de indicadores de desempenho (acesso, efetividade e adequação) e contexto (população, determinantes de saúde e financiamento), selecionados e organizados em dimensões e subdimensões. Para identificar os grupos de municípios homogêneos, foi utilizada a análise de cluster Resultados: Dos 645 municípios, constituíram-se seis clusters. Os clusters 2 e 3 foram formados, predominantemente, por municípios pequenos e com maior acesso; entre eles, o cluster 3 apresentou menor vulnerabilidade social e maior investimento em saúde. Os clusters 1, 4 e 5, em contrapartida, foram formados por municípios maiores e com menor acesso; entre eles, o cluster 4 apresentou maior vulnerabilidade social, menor cobertura de planos privados de saúde e maior percentual de recursos utilizados em saúde; e o cluster 5, maior produto interno bruto per capita e maior cobertura de planos privados de saúde. O cluster 6, formado pelo município de São Paulo, demonstrou ser um caso particular. Ainda, o cluster 2 chamou atenção. Apresentando maior cobertura, sinalizou menor efetividade e adequação. Entre todos os clusters, o cluster 3 alcançou o melhor desempenho. Conclusão: Os resultados podem subsidiar a gestão regional e municipal, diante da complexidade do território paulista, apontando para cenários que demandam maiores inciativas de gestão pública.