Objective: Identify the quality of life of women treated for cervical cancer according to their clinical and socioeconomic characteristics. Methods: This was a analytical study on women who were treated for cervical cancer by means of surgery, radiotherapy and chemotherapy. To evaluate their quality of life, the WHOQOL-bref questionnaire was applied. The Mann-Whitney test was used to investigate associations between domains and variables. Results: There were associations (p < 0.05) between the WHOQOL-bref domains and the variables of income, conjugal situation, leisure activities and treatment undergone. The physical and psychological domains were associated with overall quality of life (R = 0.54 and R = 0.63, respectively). Conclusions: Socioeconomic conditions and the type of treatment undergone influenced the quality of life of these women after their treatment. There is a need to increase the reach of cervical cancer screening among women who are less economically favored; and, after treatment, to offer alternative measures that soften the secondary effects.

Objective: To describe the epidemiological characteristics of suicide mortality in the state of Pernambuco, from 1996 to 2015. Method: Study with data from the Sistema de Informações sobre Mortalidade. The simple linear regression model was used to verify the trend in the period analyzed. Results: There were 6,229 suicides, of which 3,390 (54.4%) occurred in the second decade of study. The mortality rate was 4.7 per 100,000 inhabitants. The temporal trend presented a decrease of 23.5% (p=0.031). For the male sex and the age range between 20 and 39 years, there was a decline in self-inflicted death of 23.8% (p=0.018) and 26.1% (p=0.046), respectively. Conclusion: The temporal analysis revealed a reduction in suicide mortality coefficients. This observation may contribute to better targeting of health interventions, optimizing resources and efforts, especially in suicide prevention.

Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality. Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified. Results: The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.

This paper investigates the impact of the COVID-19 pandemic in the time series of female homicides in the state of Pernambuco, Northeast of Brazil. Microdata on lethal violent crimes from the Department of Social Defense from 2015 to 2020 was used. The homicide rates were analyzed using joinpoint regression models. The results showed an upward trend in homicide rates in the Sertão mesoregion and within the 20 to 39 age group in 2020. It is concluded that confinement and social distancing aggravated the violence against women, showing the need for intersectoral planning and measures to prevent and reduce female homicides.

Resumo Introdução O suicídio representa um importante problema de saúde pública no mundo. Considerado um fenômeno complexo, está associado a fatores sociais, biológicos e demográficos. A qualidade dos dados registrados na declaração de óbito é fundamental para conhecer a magnitude deste problema e subsidiar a construção de indicadores epidemiológicos que contribuem para a eficiência da gestão em saúde. Objetivo Analisar a evolução da completude dos registros de suicídio do Sistema de Informações sobre Mortalidade (SIM) no estado de Pernambuco, entre 1996 e 2015. Métodos Calculou-se a proporção de completude das variáveis da Declaração de Óbito. Para análise da tendência da completude, empregou-se o modelo de regressão Joinpoint. Resultados Houve tendência de aumento de completude das variáveis analisadas, com destaque para “raça/cor”, “estado civil” e “escolaridade”, com aumento superior a 60,0%. Conclusão A análise de tendência temporal mostrou melhoria no preenchimento dos dados sobre suicídio no SIM, porém, ainda figura o desafio de alcançar menos de 5,0% de incompletude para todas as variáveis. A avaliação da completude dos registros de suicídio contribui com o sistema de vigilância e com o aprimoramento das estatísticas vitais relacionadas às causas externas.

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To describe the occurrence and spatial distribution of infant deaths investigated by surveillance in Recife, state of Pernambuco, Brazil, in 2014. This is an exploratory ecological study investigating 183 infant deaths. Data from the confidential records of surveillance investigation of the infant death and the Mortality Information System were used. In order to detect spatial distribution patterns, the kernel estimation of infant, neonatal and post-neonatal mortality was used. Deaths were mainly of the neonatal type (n = 144; 78.69%), with gestational age below 37 weeks (n = 147; 80.3%) and birth weight lower than 2500 g (n = 143; 78.1%). The main causes of infant deaths were the disorders originating in the perinatal period, with emphasis on maternal hypertensive disorders (n = 31; 16.9%). The kernel map showed a higher density in 12 neighborhoods of the North (4), Northwest (2), West (3) and South (3) regions of the municipality. It was found a heterogeneous pattern in the occurrence and distribution of deaths in the territory; spatial clusters were observed in several areas of Recife with similar geographic spaces between types of death.

Introduction Suicides and suicide attempts are major public health problems, and coping strategies are hampered by insufficient or inadequate notifications. Data accuracy influences the formulation of public and mental health policies and suicide prevention strategies. The objective of this study was to analyze the completeness of self-harm and suicide records in the state of Pernambuco, Brazil, 2014–2016. Methods This is an evaluative study with a descriptive design. The data were collected from suicide attempt records from the Notifiable Diseases Information System and suicide records from the Mortality Information System. Probabilistic linkage was used to relate these databases, and the degree of completeness of the variables was calculated. Completeness was classified into the following categories: good (≥ 75.1%), regular (50.1%–75.0%), low (25.1%–50.0%), and very low (≤ 25.0%). Results In the analyzed period, 1,404 notifications of self-harm were studied, with an overall mean completeness of 86.2%. In addition, 1,050 suicide records were analyzed, with an overall mean completeness of 95.8%. Most variables referring to suicide attempts had good completeness, with the exception of the variables “occupation” and “education.” The completeness of all suicide-related variables was rated as good. After linkage, a significant improvement was observed in the degree of completeness of the variable “occupation”. Conclusion The results of this study showed that the completeness of self-harm and suicide variables improved from the first to the last year. The integration of data from different information systems provides an opportunity to improve suicide prevention programs and the quality of available information. Continuous efforts to increase the completeness and reliability of suicide surveillance systems are fundamental to describe the epidemiological profile and, consequently, plan preventive actions, in addition to contributing to the development and reformulation of strategies aimed at reducing morbidity and mortality related to suicidal behavior.