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OBJECTIVES: Worldwide, adult men experience an excess burden of tuberculosis (TB) disease compared to women, but few studies have examined sex differences in TB among people with HIV. In this study, we aimed to investigate sex differences in TB infection and disease among people with HIV in Rio de Janeiro, Brazil. DESIGN: Analysis of data from a randomized controlled trial and retrospective cohort study. METHODS: We analyzed data from two studies conducted between 2005 and 2017. The THRio Study (2005-2012) evaluated increasing tuberculin skin testing (TST) and TB preventive therapy (TPT) and UnivART (2010-2017) was a virtual cohort study of people with HIV and TB with data from four national electronic registries. RESULTS: Among 4,606 people with HIV in THRio, 2,992 (65.0%) had a TST placed and read, of whom 312/1,865 (17%) males and 203/1,127 (18%) females (pâ=â0.37) had prevalent TB infection. TB disease incidence was higher among males compared to females overall (IRR 1.33, 95% CI 1.04-1.69), among males compared to females who did not receive TPT (IRR 1.30, 95% CI 1.01-1.67), and among males compared to females on ART (IRR 1.64, 95% CI 1.17-2.29). Among 54,957 people with HIV in UnivART, TB disease incidence rates were higher among males than females overall (IRR 1.28, 95% CI 1.18-1.39), among males compared to females on ART (IRR 1.58, 95% CI 1.40-1.77), and among males compared to females not on ART (IRR 1.11, 95% CI 0.99-1.25). CONCLUSIONS: In this medium TB and HIV burden setting, TB disease incidence was higher among males than females with HIV, despite similar prevalence of TB infection.
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In the municipality of Rio de Janeiro, Brazil, the incorporation of the concept of epidemic intelligence and technological resources has supported new perspectives for the use of data by health surveillance, since the COVID-19 pandemic. This article presents the Epidemiological Intelligence Center (CIE) and the tools and products developed in its coordination. The CIE was inaugurated in March 2022, with a multiprofessional team, supported by the premises of transparency and integration of various data sources for early detection of changes in the trends of events of importance in Public Health. The initial acquisition of a data lake favored changes in the consumption, management and security processes for the data processed. This data lake currently stores the Carioca Base - a retrospective cohort of individuals with a history of COVID-19 vaccination and/or events related to the disease. Descriptive and analytical dashboards have been developed and made available, respectively for public use and for health surveillance administrators. An alert panel, aimed at monitoring trends in care in the urgency and emergency network, was implemented and subsidizes rapid response actions in the city's territories. The CIE developed the concept of epidemiological intelligence in the Brazilian Unified National Health System and this paradigm shift was made possible by investments in physical/human resources, the integration of epidemiological, statistical and data science methods, as well as the incorporation of different data sources in data analysis.
No Município do Rio de Janeiro, Brasil, a incorporação do conceito de inteligência epidêmica e de recursos tecnológicos sustentou novas perspectivas para a utilização de dados pela vigilância em saúde, a partir da pandemia de COVID-19. Neste artigo apresenta-se o Centro de Inteligência Epidemiológica (CIE), ferramentas e produtos desenvolvidos na coordenação. O CIE foi inaugurado em março de 2022, com equipe multiprofissional, apoiado nas premissas de transparência e integração de diversas fontes de dados para detecção precoce de mudanças nas tendências de eventos de importância em Saúde Pública. A aquisição inicial de um data lake favoreceu mudanças nos processos de consumo, gerenciamento e segurança para os dados processados. Esse data lake armazena, atualmente, a Base Carioca - uma coorte retrospectiva composta de indivíduos com histórico vacinal para COVID-19 e/ou eventos relacionados à doença. Painéis descritivos e analíticos foram desenvolvidos e disponibilizados, respectivamente, para uso público e para os gestores da vigilância em saúde. Um painel de alertas, voltado ao monitoramento de tendências nos atendimentos da rede de urgência e emergência municipal, foi implantado e subsidiou ações de resposta rápida nos territórios da cidade. O CIE desenvolveu o conceito de inteligência epidemiológica no Sistema Único de Saúde, e essa mudança de paradigma tornou-se possível em função de investimentos em recursos físicos/humanos, integração de métodos epidemiológicos, estatísticos e das ciências de dados, além de incorporação de fontes de dados diferenciadas nas análises de dados.
En el municipio de Río de Janeiro, Brasil, la inclusión del concepto de inteligencia epidémica y de recursos tecnológicos favoreció nuevas perspectivas en el uso de datos por parte de la vigilancia sanitaria desde la pandemia del COVID-19. Este artículo presenta el Centro de Inteligencia Epidemiológica (CIE), las herramientas y los productos desarrollados en coordinación. El CIE se creó en marzo de 2022 con un equipo multidisciplinar bajo las premisas de transparencia e integración de diversas fuentes de datos para la detección temprana de cambios en las tendencias a grandes eventos en Salud Pública. La adquisición inicial de un data lake promovió cambios en los procesos de consumo, gestión y seguridad de los datos procesados. Este data lake almacena actualmente la Base Carioca, una cohorte retrospectiva compuesta por individuos con antecedentes de vacunación contra el COVID-19 y/o eventos relacionados con la enfermedad. Se desarrollaron paneles descriptivos y analíticos, y se los pusieron a disposición, respectivamente, para uso público y para los gerentes de la vigilancia sanitaria. Se implementó un panel de alerta, dirigido a monitorear las tendencias a la asistencia en la red de urgencia y emergencia del municipio, el cual subvenciona acciones de pronta respuesta en los territorios de la ciudad. El CIE desarrolló el concepto de inteligencia epidemiológica en el Sistema Único de Salud, y este cambio de paradigma se hizo posible gracias a las inversiones en recursos físicos/humanos, la integración de métodos epidemiológicos, estadísticos y de ciencia de datos, además de la inclusión de fuentes de datos diferenciadas en el análisis de datos.
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COVID-19 , Humanos , Brasil/epidemiología , COVID-19/epidemiología , COVID-19/prevención & control , Tecnología de la Información , Pandemias , SARS-CoV-2 , Vigilancia de la Población/métodosRESUMEN
AIM: to estimate the level of metallic chemical elements in the population living in the Steel company vicinity in Santa Cruz, Rio de Janeiro, Brazil; and estimate the association between exposure to the Steel company and the blood metals concentrations patterns. METHOD: A cross-sectional study was carried out on 463 individuals aged 18+ years old residing 1+ years in the Steel company vicinity. Mg, Be, Co, Ba, Ni, Cd, Al, and Pb were assessed in blood by DRC-ICP-MS. Metallic chemical element concentration patterns were obtained by exploratory factor analysis in the studied population. Exposure was set as the distance (Km) from each participant's residence to the Steel company in Santa Cruz, georeferenced by GPS. The outcome was set as the positive factor loadings in the factor analysis, including Mg and Be (Factor-1), Co, Ba, and Ni (Factor-2), Cd, Al, and Pb (Factor-4). Crude and adjusted OR, and their respective 95â¯%CI, were estimated to explore associations between independent variables and the exposures to metallic elements positively associated with the factors using polychotomous logistic regression. RESULTS: A reduction of 19â¯% was found between each km distance from the residence and the Steel company and P50 concentration of Cd, Al, and Pb (ORP50=0.81; 95â¯%CI:0.67-0.97), after adjusting by age, sex, and smoking. No statistically significant associations were observed for the distance from residences and the Steel company, after adjusting for age, gender, having a domestic vegetable garden and chewing gum for Mg and Be concentrations (Factor-1) (ORP50=0.84; 95â¯%CI:0.70-1.01; ORP75=1.10; 95â¯%CI:0.91-1.34); nor for Co, Ba and Ni (Factor-2) blood concentrations(ORP50=1.10; 95â¯%CI:0.91-1.33; ORP75=1.03; 95â¯%CI:0.84-1.26), in the adjusted analysis. CONCLUSIONS: For each Km distance from residences to the Steel company, a 19â¯% reduction in the risk of Cd, Al, and Pb blood concentration was observed in the population living in Santa Cruz, Rio de Janeiro, Brazil.
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Metales , Humanos , Brasil , Masculino , Femenino , Adulto , Persona de Mediana Edad , Estudios Transversales , Adulto Joven , Metales/sangre , Adolescente , Exposición a Riesgos Ambientales/análisis , Anciano , IndustriasRESUMEN
OBJECTIVE: To validate the Brazilian National Health System Hospital Information System (SIH/SUS) for maternal morbidity surveillance. METHODS: This was a cross-sectional study conducted in 2021/2022, taking as its reference a national study on maternal morbidity (MMG) conducted in 50 public and 28 private hospitals; we compared SIH/SUS and MMG data for hospitalization frequency, reason and type of discharge and calculated sensitivity, specificity, positive and negative likelihood ratios for seven diagnoses and four procedures. RESULTS: Hospitalizations identified on SIH/SUS (32,212) corresponded to 95.1% of hospitalizations assessed by MMG (33,867), with lower recording on SIH/SUS (85.5%) for private hospitals [10,036 (SIH/SUS)]; 11,742 (MMG)]; compared to MMG, SIH/SUS had a lower proportion of hospitalizations due to "complications during pregnancy" (9.7% versus 16.5%) as well as under-recording of all diagnoses and procedures assessed, except "ectopic pregnancy". CONCLUSION: Better recording of diagnoses and procedures on SIH/SUS is essential for its use in maternal morbidity surveillance.
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Sistemas de Información en Hospital , Hospitalización , Complicaciones del Embarazo , Humanos , Brasil/epidemiología , Femenino , Estudios Transversales , Embarazo , Hospitalización/estadística & datos numéricos , Complicaciones del Embarazo/epidemiología , Hospitales Privados/estadística & datos numéricos , Hospitales Públicos/estadística & datos numéricos , Sensibilidad y Especificidad , Programas Nacionales de Salud , Morbilidad/tendencias , Vigilancia de la Población/métodosRESUMEN
OBJECTIVE: To present the methodology used in the development of two products for maternal health surveillance and its determinants and discuss their possible uses. METHODS: Based on a theoretical model of the determinants of maternal death and databases of Brazilian health information systems, two free products were developed: an interactive panel "surveillance of maternal health" and an educational material "Aparecida: a story about the vulnerability of Brazilian women to maternal death", both available on the website of the Brazilian Obstetric Observatory. RESULTS: More than 30 indicators were calculated for the period 2012-2020, containing information on socioeconomic conditions and access to health services, reproductive planning, prenatal care, delivery care, conditions of birth and maternal mortality and morbidity. The indicators related to severe maternal morbidity in public hospitalizations stand out, calculated for the first time for the country. The panel allows analysis by municipality or aggregated by health region, state, macro-region and country; historical series analysis; and comparisons across locations and with benchmarks. Information quality data are presented and discussed in an integrated manner with the indicators. In the educational material, visualizations with national and international data are presented, aiming to help in the understanding of the determinants of maternal death and facilitate the interpretation of the indicators. CONCLUSION: It is expected that the two products have the potential to expand epidemiological surveillance of maternal health and its determinants, contributing to the formulation of health policies and actions that promote women's health and reduce maternal mortality.
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Muerte Materna , Salud Materna , Embarazo , Femenino , Humanos , Brasil/epidemiología , Salud de la Mujer , Atención PrenatalRESUMEN
ABSTRACT Objective: To present the methodology used in the development of two products for maternal health surveillance and its determinants and discuss their possible uses. Methods: Based on a theoretical model of the determinants of maternal death and databases of Brazilian health information systems, two free products were developed: an interactive panel "surveillance of maternal health" and an educational material "Aparecida: a story about the vulnerability of Brazilian women to maternal death", both available on the website of the Brazilian Obstetric Observatory. Results: More than 30 indicators were calculated for the period 2012-2020, containing information on socioeconomic conditions and access to health services, reproductive planning, prenatal care, delivery care, conditions of birth and maternal mortality and morbidity. The indicators related to severe maternal morbidity in public hospitalizations stand out, calculated for the first time for the country. The panel allows analysis by municipality or aggregated by health region, state, macro-region and country; historical series analysis; and comparisons across locations and with benchmarks. Information quality data are presented and discussed in an integrated manner with the indicators. In the educational material, visualizations with national and international data are presented, aiming to help in the understanding of the determinants of maternal death and facilitate the interpretation of the indicators. Conclusion: It is expected that the two products have the potential to expand epidemiological surveillance of maternal health and its determinants, contributing to the formulation of health policies and actions that promote women's health and reduce maternal mortality.
RESUME Objetivo: Apresentar a metodologia utilizada no desenvolvimento de dois produtos para a vigilância da saúde materna e seus determinantes e discutir as suas possíveis utilizações. Métodos: A partir de modelo teórico dos determinantes do óbito materno e bases de dados dos sistemas de informação em saúde brasileiros, foram desenvolvidos dois produtos gratuitos: um painel interativo denominado "Vigilância da saúde materna" e um material educativo chamado "Aparecida: uma história sobre a vulnerabilidade da mulher brasileira à morte materna", ambos disponíveis no site do Observatório Obstétrico Brasileiro. Resultados: Foram calculados mais de 30 indicadores para o período 2012-2020, contendo informações sobre condições socioeconômicas e de acesso a serviços de saúde, planejamento reprodutivo, assistência pré-natal, assistência ao parto, condições de nascimento e mortalidade e morbidade materna. Destacam-se os indicadores relacionados à morbidade materna grave em internações públicas, calculados pela primeira vez para o país. O painel permite análises por município ou agregadas por região de saúde, unidade da federação, macrorregião e país; análises de série histórica; e comparações entre localidades e com padrões de referência. Dados de qualidade da informação são apresentados e discutidos de forma integrada aos indicadores. No material educativo, visualizações com dados nacionais e internacionais são apresentadas, visando auxiliar na compreensão dos determinantes do óbito materno e facilitar a interpretação dos indicadores. Conclusão: Espera-se que os produtos tenham o potencial de ampliar a vigilância epidemiológica da saúde materna e seus determinantes, contribuindo para a formulação de políticas e ações de saúde que promovam a saúde das mulheres e reduzam a mortalidade materna.
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ABSTRACT Objective To validate the Brazilian National Health System Hospital Information System (SIH/SUS) for maternal morbidity surveillance. Methods This was a cross-sectional study conducted in 2021/2022, taking as its reference a national study on maternal morbidity (MMG) conducted in 50 public and 28 private hospitals; we compared SIH/SUS and MMG data for hospitalization frequency, reason and type of discharge and calculated sensitivity, specificity, positive and negative likelihood ratios for seven diagnoses and four procedures. Results Hospitalizations identified on SIH/SUS (32,212) corresponded to 95.1% of hospitalizations assessed by MMG (33,867), with lower recording on SIH/SUS (85.5%) for private hospitals [10,036 (SIH/SUS)]; 11,742 (MMG)]; compared to MMG, SIH/SUS had a lower proportion of hospitalizations due to "complications during pregnancy" (9.7% versus 16.5%) as well as under-recording of all diagnoses and procedures assessed, except "ectopic pregnancy". Conclusion Better recording of diagnoses and procedures on SIH/SUS is essential for its use in maternal morbidity surveillance.
RESUMEN Objetivo Validar el Sistema de Información Hospitalaria del Sistema Único de Salud (SIH/SUS) para vigilancia de la morbilidad materna. Métodos Estudio transversal, 2021/2022, utilizando como referencia datos de estudio nacional de morbilidad materna (MMG) realizado en 50 hospitales públicos y 28 privados; comparando: frecuencia, motivo y tipo de alta de internaciones en SIH/SUS y MMG y calculando sensibilidad, especificidad y razones de probabilidad positivos y negativos para siete diagnósticos y cuatro procedimientos. Resultados Las internaciones identificadas en SIH/SUS (32.212) correspondieron al 95,1% de internaciones evaluadas en MMG (33.867), observándose menor registro en SIH/SUS (85,5%) en hospitales privados [10.036 (SIH/SUS)]; 11.742 (MMG)]; comparado con MMG, SIH/SUS tuvo menor proporción de internaciones por "complicaciones durante el embarazo" (9,7% vs 16,5%), así como subregistro de todos los diagnósticos y procedimientos evaluados, excepto "embarazo ectópico". Conclusión Mejor registro de diagnósticos y procedimientos en SIH/SUS es fundamental para su uso en la vigilancia de la morbilidad materna.
RESUMO Objetivo Validar o Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH/SUS) para vigilância da morbidade materna. Métodos Estudo transversal, de 2021-2022, utilizando-se como referência dados de estudo nacional sobre morbidade materna (MMG) realizado em 50 hospitais públicos e 28 privados; foram comparados frequência, motivo e tipo de saída das internações, segundo SIH/SUS e MMG, e calculadas sensibilidade, especificidade, razão de verossimilhança positiva e negativa para sete diagnósticos e quatro procedimentos. Resultados Internações identificadas no SIH/SUS (32.212) corresponderam a 95,1% das internações avaliadas no MMG (33.867), tendo-se observado menor registro no SIH/SUS (85,5%) em hospitais privados [10.036 (SIH/SUS); 11.742 (MMG)]; comparado ao MMG, o SIH/SUS apresentou menor proporção de internações por "intercorrências na gestação" (9,7% versus 16,5%), bem como sub-registro de todos os diagnósticos e procedimentos avaliados, exceto "gestação ectópica". Conclusão Melhor registro de diagnósticos e procedimentos no SIH/SUS é essencial para sua utilização na vigilância da morbidade materna.
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Resumo Os objetivos foram analisar o intervalo entre as datas de notificação e digitação de casos suspeitos de dengue e discorrer sobre as propriedades dos painéis de monitoramento de dados epidemiológicos. Pesquisa aplicada com análise quantitativa do tempo entre a notificação e digitação e método Cross-Industry Standard Process for Data Mining (CRISP-DM) para a construção dos painéis. Foi desenvolvido no Centro de Informações Estratégicas em Vigilância em Saúde de Campo Grande. Os resultados revelaram um período superior a sete dias em 93,33% dos casos. Os painéis de monitoramento analisados foram de Arboviroses, Síndromes Respiratórias, Atendimento e notificações quantitativo e qualitativo. Observou-se a integração dos dados, pois o consumo e a manipulação das informações são feitos no Power BI, com a consolidação de dois a quatro sistemas de informação de saúde. O estudo de contexto e sua relação temporal é cumprida em todos os painéis com indicadores epidemiológicos. Conclui-se a relevância da utilização de painéis epidemiológicos interativos para a tomada de decisão na gestão da vigilância e da atenção à saúde.
Abstract This study aimed to analyze the interval between the dates of notification and data entry of suspected dengue cases and discuss the properties of epidemiological data monitoring dashboards. Applied research with quantitative analysis of the time between notification and data entry, using the Cross-Industry Standard Process for Data Mining (CRISP-DM), for the construction of the dashboards. This was developed at the Center for Strategic Health Surveillance Information in Campo Grande. The results revealed a period exceeding seven days in 93.33% of cases. The monitored dashboards included Arboviruses, Respiratory Syndromes, Attendance, and quantitative and qualitative notifications. We observed data integration, as information process are performed in Power BI, consolidating data from two to four health information systems. The contextual study and its temporal relationship are complied with in all dashboards with epidemiological indicators. The study concludes that using interactive epidemiological dashboards for surveillance and healthcare management decision-making is relevant.
Resumen El objetivo fue analizar el intervalo entre las fechas de notificación y digitación de casos sospechosos de dengue y discurrir sobre las propiedades de los paneles de monitoreo de datos epidemiológicos. Investigación aplicada, con análisis cuantitativo del tiempo entre la notificación y la digitación y el método Cross-Industry Standard Process for Data Mining (CRISP-DM), para la construcción de los paneles. Se desarrolló en el Centro de Información Estratégica de Vigilancia en Salud de Campo Grande. Los resultados revelaron un período superior a siete días en el 93,33% de los casos. Los paneles de monitoreo analizados fueron de arbovirosis, síndromes respiratorios, atención y notificaciones, cuantitativos y cualitativos. Se observó la integración de los datos, ya que el consumo y la manipulación de la información se realizan en Power BI, con la consolidación de dos a cuatro sistemas de información en salud. El estudio de contexto y su relación temporal se cumple en todos los paneles con indicadores epidemiológicos. Se concluye que es relevante el uso de paneles epidemiológicos interactivos para la toma de decisiones en la gestión de la vigilancia y de la atención a la salud.
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No Município do Rio de Janeiro, Brasil, a incorporação do conceito de inteligência epidêmica e de recursos tecnológicos sustentou novas perspectivas para a utilização de dados pela vigilância em saúde, a partir da pandemia de COVID-19. Neste artigo apresenta-se o Centro de Inteligência Epidemiológica (CIE), ferramentas e produtos desenvolvidos na coordenação. O CIE foi inaugurado em março de 2022, com equipe multiprofissional, apoiado nas premissas de transparência e integração de diversas fontes de dados para detecção precoce de mudanças nas tendências de eventos de importância em Saúde Pública. A aquisição inicial de um data lake favoreceu mudanças nos processos de consumo, gerenciamento e segurança para os dados processados. Esse data lake armazena, atualmente, a Base Carioca - uma coorte retrospectiva composta de indivíduos com histórico vacinal para COVID-19 e/ou eventos relacionados à doença. Painéis descritivos e analíticos foram desenvolvidos e disponibilizados, respectivamente, para uso público e para os gestores da vigilância em saúde. Um painel de alertas, voltado ao monitoramento de tendências nos atendimentos da rede de urgência e emergência municipal, foi implantado e subsidiou ações de resposta rápida nos territórios da cidade. O CIE desenvolveu o conceito de inteligência epidemiológica no Sistema Único de Saúde, e essa mudança de paradigma tornou-se possível em função de investimentos em recursos físicos/humanos, integração de métodos epidemiológicos, estatísticos e das ciências de dados, além de incorporação de fontes de dados diferenciadas nas análises de dados.
In the municipality of Rio de Janeiro, Brazil, the incorporation of the concept of epidemic intelligence and technological resources has supported new perspectives for the use of data by health surveillance, since the COVID-19 pandemic. This article presents the Epidemiological Intelligence Center (CIE) and the tools and products developed in its coordination. The CIE was inaugurated in March 2022, with a multiprofessional team, supported by the premises of transparency and integration of various data sources for early detection of changes in the trends of events of importance in Public Health. The initial acquisition of a data lake favored changes in the consumption, management and security processes for the data processed. This data lake currently stores the Carioca Base - a retrospective cohort of individuals with a history of COVID-19 vaccination and/or events related to the disease. Descriptive and analytical dashboards have been developed and made available, respectively for public use and for health surveillance administrators. An alert panel, aimed at monitoring trends in care in the urgency and emergency network, was implemented and subsidizes rapid response actions in the city's territories. The CIE developed the concept of epidemiological intelligence in the Brazilian Unified National Health System and this paradigm shift was made possible by investments in physical/human resources, the integration of epidemiological, statistical and data science methods, as well as the incorporation of different data sources in data analysis.
En el municipio de Río de Janeiro, Brasil, la inclusión del concepto de inteligencia epidémica y de recursos tecnológicos favoreció nuevas perspectivas en el uso de datos por parte de la vigilancia sanitaria desde la pandemia del COVID-19. Este artículo presenta el Centro de Inteligencia Epidemiológica (CIE), las herramientas y los productos desarrollados en coordinación. El CIE se creó en marzo de 2022 con un equipo multidisciplinar bajo las premisas de transparencia e integración de diversas fuentes de datos para la detección temprana de cambios en las tendencias a grandes eventos en Salud Pública. La adquisición inicial de un data lake promovió cambios en los procesos de consumo, gestión y seguridad de los datos procesados. Este data lake almacena actualmente la Base Carioca, una cohorte retrospectiva compuesta por individuos con antecedentes de vacunación contra el COVID-19 y/o eventos relacionados con la enfermedad. Se desarrollaron paneles descriptivos y analíticos, y se los pusieron a disposición, respectivamente, para uso público y para los gerentes de la vigilancia sanitaria. Se implementó un panel de alerta, dirigido a monitorear las tendencias a la asistencia en la red de urgencia y emergencia del municipio, el cual subvenciona acciones de pronta respuesta en los territorios de la ciudad. El CIE desarrolló el concepto de inteligencia epidemiológica en el Sistema Único de Salud, y este cambio de paradigma se hizo posible gracias a las inversiones en recursos físicos/humanos, la integración de métodos epidemiológicos, estadísticos y de ciencia de datos, además de la inclusión de fuentes de datos diferenciadas en el análisis de datos.
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INTRODUCTION: Mental health inequalities across racial and ethnic groups are large and unjust in many countries, yet these inequalities remain under-researched, particularly in low-income and middle-income countries such as Brazil. This study investigates racial and socioeconomic inequalities in primary healthcare usage, hospitalisation and mortality for mental health disorders in Rio de Janeiro, Brazil. METHODS: A cohort of 1.2 million low-income adults from Rio de Janeiro, Brazil with linked socioeconomic, demographic, healthcare use and mortality records was cross-sectionally analysed. Poisson regression models were used to investigate associations between self-defined race/colour and primary healthcare (PHC) usage, hospitalisation and mortality due to mental disorders, adjusting for socioeconomic factors. Interactions between race/colour and socioeconomic characteristics (sex, education level, income) explored if black and pardo (mixed race) individuals faced compounded risk of adverse mental health outcomes. RESULTS: There were 272 532 PHC consultations, 10 970 hospitalisations and 259 deaths due to mental disorders between 2010 and 2016. After adjusting for a wide range of socioeconomic factors, the lowest PHC usage rates were observed in black (adjusted rate ratio (ARR): 0.64; 95% CI 0.60 to 0.68; compared with white) and pardo individuals (ARR: 0.87; 95% CI 0.83 to 0.92). Black individuals were more likely to die from mental disorders (ARR: 1.68; 95% CI 1.19 to 2.37; compared with white), as were those with lower educational attainment and household income. In interaction models, being black or pardo conferred additional disadvantage across mental health outcomes. The highest educated black (ARR: 0.56; 95% CI 0.47 to 0.66) and pardo (ARR: 0.75; 95% CI 0.66 to 0.87) individuals had lower rates of PHC usage for mental disorders compared with the least educated white individuals. Black individuals were 3.7 times (ARR: 3.67; 95% CI 1.29 to 10.42) more likely to die from mental disorders compared with white individuals with the same education level. CONCLUSION: In low-income individuals in Rio de Janeiro, racial/colour inequalities in mental health outcomes were large and not fully explainable by socioeconomic status. Black and pardo Brazilians were consistently negatively affected, with lower PHC usage and worse mental health outcomes.
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Servicios de Salud Mental , Adulto , Humanos , Estudios Transversales , Brasil/epidemiología , Factores Socioeconómicos , EscolaridadRESUMEN
AIM: To evaluate the effect of delays in stage IA to IIIB cervical cancer treatment initiation and conclusion on hospital-based survival among Brazilian women. METHODS: A retrospective follow-up study was conducted in a stage IA to IIIB cervical cancer cohort treated from 2012 and 2014 and followed until December 31, 2017 in Rio de Janeiro. Delay in treatment initiation definition was defined based on the Brazilian law of 60 days for treatment initiation after diagnosis. Delay in treatment conclusion was defined based on the literature and sample distributions: < 120/121-200/> 200 days. The endpoint was death(from all causes or cervical cancer). Death causes and dates were obtained by a record linkage procedure between the hospital cancer registry and the Mortality Information System. Global 36-month survival and HRs were estimated by the KaplanMeier method and proportional Cox regression models, respectively. RESULTS: From 865 patients, 269(31.1%) died over the median follow-up time of 27 months. Delay on treatment initiation(>60-days) was 92.8%, while the delay in treatment conclusion(>120 days) was 87.5%. Overall survival was 61.3% (<60-days:62.6%; 61-90 days:63.5%). Among stage IIB-IIIB, women treated < 60-days presented 40.1% survival, while 61-90-days had 52.5%, and > 90-days had 53.3%. Delays in treatment conclusion significantly reduced survival[72.2%(<120-days) to 60.7%(>200-days)]. Multivariate analysis showed that delays in treatment initiation did not affect 36-month death risk. Compared to women concluding treatment in < 120-days, those taking 121-200-days or > 200-days showed increases in death risk of 89%(95%CI:1.10-3.24) and 111%(95%CI:1.31-3.39), respectively, regardless of age, stage, treatment protocol, and time to treatment initiation. CONCLUSION: Delays in cervical cancer treatment conclusion (but not treatment initiation) affected 36-month survival and death risk among Brazilians.
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Background: Expanding primary healthcare to urban poor populations is a priority in many low-and middle-income countries and is essential to achieve universal health coverage (UHC). Between 2008 and 2016 the city of Rio de Janeiro undertook an ambitious programme to rapidly expand primary care to low-income areas through the family health strategy (FHS). Infant health impacts of this roll out are unknown. This study examines associations between maternal FHS utilisation and birth outcomes, neonatal and infant mortality. Methods: A cohort of 75,339 live births (January 2009-December 2014) to low-income mothers in Rio de Janeiro was linked to primary care, birth, hospital and death records. The relationship between maternal FHS use and infant health outcomes was assessed through logistic regression with inverse probability treatment weighting and regression adjustment. Socioeconomic inequalities in the associations between FHS use and outcomes were explored through interactions. Primary outcomes were neonatal and infant death. Thirteen secondary outcomes were also examined to explore other important health outcomes and potential mechanisms. Results: A total of 9002 (12.0%) infants were born to mothers in the cohort who used FHS services either before pregnancy or in the first two trimesters. There was a total of 527 neonatal and 893 infant deaths. Maternal FHS usage during the first two trimesters was associated with substantial reductions in neonatal [adjusted odds ratio (aOR): 0.527, 95% confidence interval (95% CI): 0.345; 0.806] and infant mortality (aOR: 0.672, 95% CI: 0.48; 0.924). Infants born to lower-income mothers and those without formal employment had larger reductions in neonatal and infant mortality associated with FHS use. Maternal FHS in the first two trimesters use was also associated with more antenatal care consultations and a lower risk of low birth weight and preterm birth. Interpretation: Expanding primary care to low-income populations in Rio de Janeiro was associated with improved infant health and health equity benefits. Funding: DFID/MRC/Wellcome Trust/ESRC.
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Tuberculosis (TB) causes 1 in 3 deaths among people living with HIV (PLHIV). Diagnosing and treating latent tuberculosis infection (LTBI) is critical to reducing TB incidence and mortality. Blood-based screening tests (e.g., QuantiFERON-TB Gold Plus (QFT+)) and shorter-course TB preventive therapy (TPT) regimens such as 3HP (3 months weekly isoniazid-rifapentine) hold significant promise to improve TB outcomes. We qualitatively explored barriers and solutions to optimizing QFT+ and 3HP among PLHIV in three cities in Brazil. We conducted 110 in-depth interviews with PLHIV, health care providers (HCP) and key informants (KI). Content analysis was conducted including the use of case summaries and comparison of themes across populations and contexts. LTBI screening and treatment practices were dependent on HCP's perceptions of whether they were critical to improving TB outcomes. Many HCP lacked a strong understanding of LTBI and perceived the current TPT regimen as complicated. HCP reported that LTBI screening and treatment were constrained by clinic staffing challenges. While PLHIV generally expressed willingness to consider any test or treatment that doctors recommended, they indicated HCP rarely discussed LTBI and TPT. TB testing and treatment requests were constrained by structural factors including financial and food insecurity, difficulties leaving work for appointments, stigma and family responsibilities. QFT+ and 3HP were viewed by all participants as tools that could significantly improve the LTBI cascade by avoiding complexities of TB skin tests and longer LTBI treatment courses. QFT+ and 3HP were perceived to have challenges, including the potential to increase workload on over-burdened health systems if not implemented alongside improved supply chains, staffing, and training, and follow-up initiatives. Multi-level interventions that increase understanding of the importance of LTBI and TPT among HCP, improve patient-provider communication, and streamline clinic-level operations related to QFT+ and 3HP are needed to optimize their impact among PLHIV and reduce TB mortality.
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OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015-2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. RESULTS: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. CONCLUSION: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak.
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COVID-19 , Gripe Humana , Humanos , COVID-19/epidemiología , Brasil/epidemiología , Pandemias , Gripe Humana/epidemiología , CausalidadRESUMEN
ABSTRACT Objective: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). Methods: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015-2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. Results: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. Conclusion: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak.
RESUMO Objetivo: Analisar o excesso de óbitos no município do Rio de Janeiro (MRJ), RJ, durante a pandemia de COVID-19 (março de 2020 a janeiro de 2022). Métodos: Foi realizado um estudo ecológico com dados secundários do Sistema de Informação sobre Mortalidade cuja unidade de análise foi o MRJ. O excesso de mortalidade foi calculado pela diferença entre a média de óbitos esperados e a média dos óbitos observados levando-se em conta o período de 2015 a 2019. Foi ajustado um método de regressão quantílica. Calculou-se o valor total dos casos acima do esperado pela série histórica. Foram selecionados os óbitos por causa básica COVID-19 e Influenza. Também foi calculada a razão entre o excesso de óbitos e os óbitos atribuídos à COVID-19. Resultados: Foi identificado excesso de 31.920 óbitos pela média (26,8% de incremento). Pela regressão quantílica, encontrou-se excesso de 31.363 óbitos. Ocorreram 33.401 óbitos por COVID-19 e 176 por Influenza. A razão entre o excesso de óbitos encontrado e os óbitos atribuídos à COVID-19 foi de 0,96 pela média e 0,95 pela regressão quantílica. Conclusão: O estudo apontou grande excesso de óbitos durante a pandemia de COVID-19 no MRJ, distribuído em ondas, incluindo-se o período do surto de Influenza.
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BACKGROUND: Introgression of genetic material from species of the insect bacteria Wolbachia into populations of Aedes aegypti mosquitoes has been shown in randomised and non-randomised trials to reduce the incidence of dengue; however, evidence for the real-world effectiveness of large-scale deployments of Wolbachia-infected mosquitoes for arboviral disease control in endemic settings is still scarce. A large Wolbachia (wMel strain) release programme was implemented in 2017 in Rio de Janeiro, Brazil. We aimed to assess the effect of this programme on the incidence of dengue and chikungunya in the city. METHODS: 67 million wMel-infected mosquitoes were released across 28 489 locations over an area of 86·8 km2 in Rio de Janeiro between Aug 29, 2017 and Dec 27, 2019. Following releases, mosquitoes were trapped and the presence of wMel was recorded. In this spatiotemporal modelling study, we assessed the effect of the release programme on the incidence of dengue and chikungunya. We used spatiotemporally explicit mathematical models applied to geocoded dengue cases (N=283 270) from 2010 to 2019 and chikungunya cases (N=57 705) from 2016 to 2019. FINDINGS: On average, 32% of mosquitoes collected from the release zones between 1 month and 29 months after the initial release tested positive for wMel. Reduced wMel introgression occurred in locations and seasonal periods in which cases of dengue and chikungunya were historically high, with a decrease to 25% of mosquitoes testing positive for wMel during months in which disease incidence was at its highest. Despite incomplete introgression, we found that the releases were associated with a 38% (95% CI 32-44) reduction in the incidence of dengue and a 10% (4-16) reduction in the incidence of chikungunya. INTERPRETATION: Stable establishment of wMel in the geographically diverse, urban setting of Rio de Janeiro seems to be more complicated than has been observed elsewhere. However, even intermediate levels of wMel seem to reduce the incidence of disease caused by two arboviruses. These findings will help to guide future release programmes. FUNDING: Bill & Melinda Gates Foundation and the European Research Council.
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Aedes , Fiebre Chikungunya , Virus del Dengue , Dengue , Wolbachia , Humanos , Animales , Fiebre Chikungunya/epidemiología , Fiebre Chikungunya/prevención & control , Incidencia , Brasil/epidemiología , Dengue/epidemiología , Dengue/prevención & control , Mosquitos VectoresRESUMEN
The present report describes the implementation of an emergency operations center to coordinate the response to the COVID-19 pandemic in the municipality of Rio de Janeiro, Brazil. Following the public health emergency management framework proposed by the World Health Organization (WHO), this temporary center (COE COVID-19 RIO) started operating in January 2021. The report is organized along five themes: legal framework; structure, planning, and procedures; institutional articulation; health information for decision-making; and risk communication. Major advances obtained with the initiative include improvements in governance for the management of COVID-19, increase in the synergy among sectors and institutions, improved information sharing in relation to COVID-19 prevention and control measures, innovation in epidemiologic analyses, and gains in transparency and decision-making opportunities. In conclusion, even if conceived at an advanced stage of the pandemic in the municipality of Rio de Janeiro, the COE COVID-19 RIO has played a relevant role in shaping the city's responses to the pandemic. Also, despite its temporary character, the experience will leave a lasting legacy for the management of future public health emergencies in the municipality of Rio de Janeiro.
En el presente artículo se describe la experiencia al establecerse un centro de operaciones de emergencia (COE) para coordinar la respuesta a la pandemia de COVID-19 en el municipio de Rio de Janeiro (Brasil). Siguiendo el modelo de gestión de emergencias de salud pública promovido por la Organización Mundial de la Salud (OMS), este centro temporal se activó en enero del 2021. El informe se estructuró con base en cinco ejes temáticos: marco legal; estructura, planes y procedimientos; articulaciones institucionales; información en materia de salud para sustentar las decisiones; y comunicación sobre riesgos. Entre los principales avances relacionados con esta iniciativa cabe destacar los adelantos en cuanto a la gobernanza para organizar la forma de enfrentar la COVID-19, el aumento de la sinergia entre los sectores y las instituciones correspondientes, un mayor intercambio de información sobre las medidas de prevención y control de la enfermedad, innovación en los análisis epidemiológicos, mayor transparencia en la toma de decisiones y decisiones tomadas de manera más oportuna. Se llegó a la conclusión de que este COE, a pesar de que había sido establecido en una fase avanzada de la pandemia en la ciudad, tuvo un papel importante en la estructuración de la respuesta. Sin embargo, a pesar de su carácter temporal, la experiencia demostró ser un importante legado para enfrentar futuras emergencias de salud pública en el municipio de Rio de Janeiro.
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OBJECTIVES: As middle-income countries strive to achieve the Sustainable Development Goals (SDGs), it remains unclear to what degree expanding primary care coverage can help achieve those goals and reduce within-country inequalities in mortality. Our objective was to estimate the potential impact of primary care expansion on cause-specific mortality in the 15 largest Brazilian cities. DESIGN: Microsimulation model. SETTING: 15 largest cities by population size in Brazil. PARTICIPANTS: Simulated populations. INTERVENTIONS: We performed survival analysis to estimate HRs of death by cause and by demographic group, from a national administrative database linked to the Estratégia de Saúde da Família (Family Health Strategy, FHS) electronic health and death records among 1.2 million residents of Rio de Janeiro (2010-2016). We incorporated the HRs into a microsimulation to estimate the impact of changing primary care coverage in the 15 largest cities by population size in Brazil. PRIMARY AND SECONDARY OUTCOME MEASURES: Crude and age-standardised mortality by cause, infant mortality and under-5 mortality. RESULTS: Increased FHS coverage would be expected to reduce inequalities in mortality among cities (from 2.8 to 2.4 deaths per 1000 between the highest-mortality and lowest-mortality city, given a 40 percentage point increase in coverage), between welfare recipients and non-recipients (from 1.3 to 1.0 deaths per 1,000), and among race/ethnic groups (between Black and White Brazilians from 1.0 to 0.8 deaths per 1,000). Even a 40 percentage point increase in coverage, however, would be insufficient to reach SDG targets alone, as it would be expected to reduce premature mortality from non-communicable diseases by 20% (vs the target of 33%), and communicable diseases by 15% (vs 100%). CONCLUSIONS: FHS primary care coverage may be critically beneficial to reducing within-country health inequalities, but reaching SDG targets will likely require coordination between primary care and other sectors.