Neste trabalho, analisa-se a cobertura do Sistema de Informações sobre Mortalidade (SIM) em Olinda, Pernambuco, Brasil, no ano de 2008. O estudo envolveu dados secundários sobre óbitos não fetais de residentes do município obtidos do SIM e dados primários da pesquisa Busca Ativa de Óbitos e Nascimentos no Nordeste e Amazônia Legal, que coletou os eventos em múltiplas fontes e localizou óbitos não informados ao sistema. A cobertura foi representada pela proporção de óbitos constantes no SIM em relação ao total informado (SIM + busca ativa). O estudo identificou 94,8% de cobertura e observou a importante contribuição dos cartórios para o conhecimento dos óbitos ausentes no SIM. Desses, 29,7% ocorreram em estabelecimentos de saúde; 49% ocorreram em domicílio e foram atestados por médicos particulares; e 25,5% do total de óbitos localizados foram atestados pelo IML. O método aplicado permitiu identificar a cobertura do SIM em município de região metropolitana. Apesar da pequena proporção de óbitos ausentes no SIM, o estudo sinalizou problemas relacionados à coleta e fluxo.

Objective: to describe the sociodemographic and health care characteristics of women dying due to maternal causes in Recife, Pernambuco, Brazil. Methods: this was a descriptive study using the Mortality Information System, case investigation sheets and summary sheets of early and late maternal deaths occurring between 2006 and 2017, with avoidability assessed by the Municipal Maternal Mortality Committee. Results: we identified 171 deaths, of which 133 were in the puerperium; most deaths occurred among Black women (68.4%), women without partners (60.2%), women who had prenatal care (77.2%), during maternity hospital/general hospital delivery (97.1%), women attended to by obstetricians (82.6%);10.4% of women with puerperal complications had no health care; avoidable/probably avoidable deaths corresponded to 81.9%, for indirect causes (n=80), and direct causes (n=79). Conclusion: deaths occurred mainly in the postpartum period, among Black women; care failures were frequent; improved health service surveillance and follow-up is needed in the pregnancy-puerperal period, in Recife.

Objective: to evaluate the implantation of the Mortality Information System (SIM) in Pernambuco, Brazil. Methods: this was an evaluation study; primary data (questionnaires) and secondary data (SIM) were used for the municipalities to estimate the degree of implantation (DI), comparing structure and process indicators with outcome indicators; data were consolidated by region and state. Results: SIM was partially implanted in the state (70.6%) and its regions (66.3% to 74.8%); 'management' (75.1%), 'issuing and filling in' (79.1%), and 'processing' (71.7%) were partially implanted; 'collection' (80.7%) was implanted; while 'distribution and control' (49.7%) and 'analysis and dissemination' (58.0%) had incipient implantation; more than 90% coverage was found for deaths with defined underlying causes, as well as for municipalities with monthly data transfer, and death certificates typed and sent on a timely basis; consistency was found between DI and outcome indicators, which improved as DI increased. Conclusion: SIM was found to be only partially implanted owing to inadequacies in distribution, control, analysis and dissemination, thus influencing unfavorably the effects observed.

Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of the fetus or neonate. Predictive models of fetal and infant deaths are important technological tools that can help to reduce mortality indexes. The main goal of this work is to present a systematic review of literature focused on computational models to predict mortality, covering stillbirth, perinatal, neonatal, and infant deaths, highlighting their methodology and the description of the proposed computational models. Methods: We conducted a systematic review of literature, limiting the search to the last 10 years of publications considering the five main scientific databases as source. Results: From 671 works, 18 of them were selected as primary studies for further analysis. We found that most of works are focused on prediction of neonatal deaths, using machine learning models (more specifically Random Forest). The top five most common features used to train models are birth weight, gestational age, sex of the child, Apgar score and mother's age. Having predictive models for preventing mortality during and post-pregnancy not only improve the mother's quality of life, as well as it can be a powerful and low-cost tool to decrease mortality ratios. Conclusion: Based on the results of this SRL, we can state that scientific efforts have been done in this area, but there are many open research opportunities to be developed by the community.

Resumo Objetivos: avaliar a contribuição do Comitê de Mortalidade Materna e da Vigilância do Óbito de mulheres em idade fértil (MIF) e materno na magnitude da mortalidade materna e na qualificação das causas dos óbitos no Recife, Brasil. Métodos: avaliação ex ante/ex post, ecológico, dos indicadores anuais de mortalidade de MIF, materna e estudo de caso de óbitos maternos declarados segundo causas de morte antes e após a vigilância. Analisaram-se óbitos de MIF (2010-2017) e calculou-se o percentual de investigação; estimaram-se suas taxas e a razão de mortalidade materna (RMM); descreveram-se: grupos de causa, classificação e momento do óbito, variação proporcional antes e após a vigilância/análise do comitê e a realocação das causas após esse processo. Resultados: investigou-se 4.327 (97,0%) dos óbitos de MIF (incremento de 40,7% das mortes maternas), e RMM de 62,9/100 mil nascidos vivos; melhoraram as notificações do puerpério imediato/ tardio (75,0%) e remoto (300,0%); houve diferença nas causas obstétricas diretas, total de óbitos maternos e morte materna tardia (p<0,001). Conclusão: mostrou-se o potencial da vigilância e do Comitê de Mortalidade Materna na identificação da magnitude e qualificação das causas de morte materna para proposição de medidas direcionadas aos cuidados obstétricos.

Objectives: to evaluate the contribution of the Maternal Mortality and Death Surveillance Committee for women of childbearing age (WCA) and maternal mortality in the magnitude of maternal mortality and in the qualification of the causes of death in Recife, Brazil. Methods: ex ante/ex post evaluation, ecological, of the annual indicators of mortality of WCA, maternal and case study of declared maternal deaths according to causes of death before and after surveillance. Deaths of WCA (2010 and 2017) were analyzed. The percentage of investigation of deaths of WCA was calculated; their rates and maternal mortality ratio (MMR) were estimated; the groups of causes of death, classification of death, the moment of death, the proportional variation before and after surveillance, and the relocation of the causes after this process were described. Results: 4.327 (97.0%) of deaths of WCA were investigated (increase of 40.7% of maternal deaths) and MMR of 62.9/100 thousand live births. Improved notifications of immediate/late (75.0%) and remote (300.0%) postpartum; there was a difference in direct obstetric causes, total maternal deaths and late maternal death (p<0.001). Conclusion: the surveillance and the Maternal Mortality Committee showed potential in identifying the magnitude and qualification of causes of maternal death in order to propose the interventions directed to obstetric care.