120 research outputs found

    Análise espacial das internações evitáveis por tuberculose em Ribeirão Preto, SP (2006-2012)

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    OBJECTIVE To describe the spatial distribution of avoidable hospitalizations due to tuberculosis in the municipality of Ribeirao Preto, SP, Brazil, and to identify spatial and space-time clusters for the risk of occurrence of these events. METHODS This is a descriptive, ecological study that considered the hospitalizations records of the Hospital Information System of residents of Ribeirao Preto, SP, Southeastern Brazil, from 2006 to 2012. Only the cases with recorded addresses were considered for the spatial analyses, and they were also geocoded. We resorted to Kernel density estimation to identify the densest areas, local empirical Bayes rate as the method for smoothing the incidence rates of hospital admissions, and scan statistic for identifying clusters of risk. Softwares ArcGis 10.2, TerraView 4.2.2, and SaTScanTM were used in the analysis. RESULTS We identified 169 hospitalizations due to tuberculosis. Most were of men (n = 134; 79.2%), averagely aged 48 years (SD = 16.2). The predominant clinical form was the pulmonary one, which was confirmed through a microscopic examination of expectorated sputum (n = 66; 39.0%). We geocoded 159 cases (94.0%). We observed a non-random spatial distribution of avoidable hospitalizations due to tuberculosis concentrated in the northern and western regions of the municipality. Through the scan statistic, three spatial clusters for risk of hospitalizations due to tuberculosis were identified, one of them in the northern region of the municipality (relative risk [RR] = 3.4; 95%CI 2.7–4,4); the second in the central region, where there is a prison unit (RR = 28.6; 95%CI 22.4–36.6); and the last one in the southern region, and area of protection for hospitalizations (RR = 0.2; 95%CI 0.2–0.3). We did not identify any space-time clusters. CONCLUSIONS The investigation showed priority areas for the control and surveillance of tuberculosis, as well as the profile of the affected population, which shows important aspects to be considered in terms of management and organization of health care services targeting effectiveness in primary health care.OBJETIVO Descrever a distribuição espacial dos casos de internações evitáveis por tuberculose no município de Ribeirão Preto, SP, e identificar aglomerados espaciais e espaço-temporais de risco para a ocorrência desses eventos. MÉTODOS Estudo descritivo e ecológico que considerou os registros de internações no Sistema de Informação Hospitalar dos residentes de Ribeirão Preto, SP, no período de 2006 a 2012. Para as análises espaciais foram considerados somente os casos com endereços registrados, sendo os mesmos geocodificados. Recorreu-se à estatística de densidade Kernel para identificar as áreas de maior densidade, taxa bayesiana empírica local como método de suavização das taxas de incidência de internações e estatística de varredura para identificação de aglomerados de risco. Para as análises foram utilizados os softwares ArcGis 10.2, TerraView 4.2.2 e SaTScanTM. RESULTADOS Foram identificadas 169 internações por tuberculose. A maioria das internações ocorreu com pessoas do sexo masculino (n = 134; 79,2%) com idade mediana de 48 anos (DP = 16,2). A forma clínica predominante foi a pulmonar, com confirmação por exame microscópico da expectoração (n = 66; 39,0%). Foram geocodificados 159 (94,0%) casos. Observou-se distribuição espacial não aleatória de internações evitáveis por tuberculose, concentradas nas regiões norte e oeste do município. Por meio da estatística de varredura, identificaram-se três aglomerados espaciais de risco para internações por tuberculose, um na região norte do município (risco relativo [RR] = 3,4; IC95% 2,7–4,4); o segundo, na região central, onde há uma unidade prisional (RR = 28,6; IC95% 22,4–36,6); e o último, na região sul, área de proteção para as internações (RR = 0,2; IC95% 0,2–0,3). Não foram identificados aglomerados espaço-temporais. CONCLUSÕES A investigação mostrou áreas prioritárias para o controle e vigilância da tuberculose e um perfil de população atingida, evidenciando aspectos importantes a serem considerados em termos de gestão e organização dos serviços de saúde com vistas à efetividade da Atenção Primária à Saúde

    Série temporal da dinâmica do sistema de saúde para o diagnóstico de tuberculose em uma região metropolitana do nordeste brasileiro (2010-2020)

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    Objetivo: Analisar a dinâmica do sistema de saúde para o diagnóstico de tuberculose em região metropolitana de um estado do nordeste brasileiro. Métodos: Estudo ecológico de série temporal realizado em São Luís, no Estado do Maranhão, região Nordeste do Brasil. A população do estudo foi composta casos de tuberculose notificados noSistema de Informação de Agravos de Notificação (SINAN) no período de 2010 a 2020. A estatística descritiva dos casos foi realizada utilizando medidas de frequência absoluta e relativa e o teste Qui–quadrado de Pearson foi utilizado para comparar as frequências entre os casos notificados em unidades de Atenção Primária a Saúde (APS) e hospitalares e a caracterização sociodemográfica e clínica. Para análise da série temporal, recorreu-se ao modelo deautorregressão Prais–Winsten, seguido do método de decomposição denominado Seasonal–Trend using Loess (STL), finalizando com a previsão da tendência temporal para os próximos anos. Os dados foram analisados utilizando os recursos do software Stata versão 17 (StataCorp, College Station, TX, USA) e R versão 3.5.2 (R Core Team, 2020). Resultados: Foram notificados 7.948 casos com diagnóstico de tuberculose, sendo 1.608 notificados em unidadesde Atenção Primária e 6.340 em unidades Hospitalares. O teste Qui–quadrado resultou na frequência relativa calculada considerando o total de paciente que possuíam resultados de cada exame com diferenças estatisticamente significantes (p < 0,05). Conclusão: Foi possível observar tendência temporal diferenciada entre o diagnóstico realizado pela APS e hospitais. Na análise e modelagem temporal houve aumento nos casos notificados na APS e estacionário nos hospitais, entretanto, na modelagem temporal houve redução do número de casos nos hospitais.Objective: To analyze the dynamics of the health system for the diagnosis of tuberculosis in a metropolitan region of a Northeast Brazilian state. Methods: Ecological time series study conducted in São Luís, Maranhão State, Northeast region of Brazil. The study population was composed of tuberculosis cases notified in the Notifiable Diseases Information System (SINAN) in the period from 2010 to 2020. The descriptive statistics of the cases was performed using absolute and relative frequency measures, and Pearson’s Chi-square test was used to compare thefrequencies between the cases notified in Primary Health Care (PHC) and hospital units and the sociodemographic and clinical characterization. For time series analysis, the Prais-Winsten autoregression model was used, followed by the decomposition method called Seasonal-Trend decomposition using LOESS (STL), ending with the time trend prediction for the next years. The data were analyzed using the resources of the computer programs named Stata, version 17 (StataCorp, College Station, TX, USA) and R, version 3.5.2 (R Core Team, 2020). Results: A total of 7,948 cases diagnosed with tuberculosis were notified, of which 1,608 were notified in Primary Care units and 6,340 in hospital units. The Chi-square test resulted in a relative frequency calculated considering the totalnumber of patients who had results from each examination with statistically significant differences (p < 0.05). Conclusion: It was possible to observe different time trends between diagnoses performed by PHC and hospitals. In the time analysis and modeling, there was an increase in cases notified in PHC and stationary in hospitals; however, in the time modeling, there was a reduction in the number of cases in hospitals

    Percepção de gestantes acerca das complicações da infecção por Zika Vírus: revisão de literatura

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    Objetivou-se, evidenciar à luz da literatura científica, a percepção de gestantes acerca das complicações da infecção por zika vírus. Trata-se de revisão narrativa da literatura, do tipo descritiva-exploratória. A busca de dados foi realizada no período de outubro a novembro de 2022, de forma pareada e independente por dois pesquisadores nas bases de dados indexadas a BVS. Foram aplicados os seguintes filtros; artigos completos, disponíveis para download e leitura na íntegra; publicados nos três idiomas (português, inglês e espanhol). Salienta-se que neste estudo não será delimitado o recorte temporal de publicação dos artigos identificados, visto que buscou-se elevar abrangência da busca. Foram incluídos os artigos que versassem acerca da temática em estudo, excluindo as duplicatas, os resumos e relatos de experiências. Assim, obtiveram-se dez artigos para compor amostra final. Mediante o processo analítico dos estudos, evidenciou-se que as gestantes reconhecem que a infecção pelo Zika vírus, é uma doença que poderá repercutir negativamente na saúde materna-fetal e no desenvolvimento da gestação, podendo propiciar graves complicações, principalmente para os fetos. Portanto, faz-se necessário na implementação de cuidados pré-natais integrais, holísticos e, sobretudo de qualidade que visem a prevenção e controle do zika vírus, em especial durante a gravidez

    II Diretriz Brasileira de Transplante Cardíaco

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    Universidade de São Paulo Faculdade de Medicina Hospital das ClínicasIIHospital de Messejana Dr. Carlos Alberto Studart GomesUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de MedicinaInstituto Dante Pazzanese de CardiologiaUniversidade Federal de Minas Gerais Hospital das ClínicasFaculdade de Medicina de São José do Rio PretoPontifícia Universidade Católica do ParanáIHospital Israelita Albert EinsteinInstituto Nacional de Cardiologia, Fundação Universitária do Rio Grande do Sul Instituto de CardiologiaReal e Benemérita Sociedade de Beneficência Portuguesa, São PauloHospital Pró-Cardíaco do Rio de JaneiroSanta Casa do Rio de JaneiroUNIFESP, EPMSciEL

    Integrated health service delivery networks and tuberculosis avoidable hospitalizations: is there a relation between them in Brazil?

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    Abstract\ud \ud Background\ud The early identification of the Breathing Symptoms within the scope of Primary Health Care is recommended, and is also one of the strategies of national sanitary authorities for reaching the elimination of tuberculosis. The purpose of this study is to consider which attributes and which territories have shown the most significant progress in Primary Health Care, in terms of coordination of Health Care Networks, and also check if those areas of Primary Health Care that are most critical regarding coordination, there were more or less cases of avoidable hospitalizations for tuberculosis.\ud \ud \ud Methods\ud This is an ecological study that uses primary and secondary data. For analysis, coropletic maps were developed through the ArcGIS software, version 10.2. There was also the calculation of gross annual and Bayesian rates for hospitalizations for tuberculosis, for each Primary Health Care territory.\ud \ud \ud Results\ud There were satisfactory results for attributes such as Population (n = 37; 80.4 %), Primary Health Care (n = 43; 93.5 %), Support System (n = 45; 97.8 %); the exceptions were Logistics System (n = 32; 76.0 %) and Governance System, with fewer units in good condition (n = 31; 67.3 %). There is no evidence of any connection between networks’ coordination by Primary Health Care and tuberculosis avoidable admissions.\ud \ud \ud Conclusion\ud The results show that progress has been made regarding the coordination of the Health Care Networks, and a positive trend has been shown, even though the levels are not excellent. It was found no relationship between the critical areas of Primary Health Care and tuberculosis avoidable hospitalizations, possibly because other variables necessary to comprehend the phenomena.We are grateful to the Municipal Secretariat for Health, for the partnership\ud and support they have provided in the materialization of the study. We also\ud thank the coordinators of the Health Districts, for the articulation with the\ud managers of the Units and also as they have made it possible for us to\ud participate in the Ordinary General Meeting for the presentation of the\ud study. We thank the managers of the Health Units who have so kindly\ud opened the doors of their Units to our team, also encouraging the\ud participation of their employees. We thank the health workers for having\ud agreed to participate in the study, essentially as they have believed in the\ud potential of Primary Health Care for a change in model. Last but not least, to\ud the team from the Reference Hospital for making available the secondary\ud data. The Foundation of Support for Research of the State of São Paulo\ud (Fundação de Amparo e Apoio à Pesquisa do Estado de São Paulo - FAPESP)\ud (Processes No. 2012/51235-5 and No. 2013/22486-2)

    Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012)

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    ABSTRACT OBJECTIVE To describe the spatial distribution of avoidable hospitalizations due to tuberculosis in the municipality of Ribeirao Preto, SP, Brazil, and to identify spatial and space-time clusters for the risk of occurrence of these events. METHODS This is a descriptive, ecological study that considered the hospitalizations records of the Hospital Information System of residents of Ribeirao Preto, SP, Southeastern Brazil, from 2006 to 2012. Only the cases with recorded addresses were considered for the spatial analyses, and they were also geocoded. We resorted to Kernel density estimation to identify the densest areas, local empirical Bayes rate as the method for smoothing the incidence rates of hospital admissions, and scan statistic for identifying clusters of risk. Softwares ArcGis 10.2, TerraView 4.2.2, and SaTScanTM were used in the analysis. RESULTS We identified 169 hospitalizations due to tuberculosis. Most were of men (n = 134; 79.2%), averagely aged 48 years (SD = 16.2). The predominant clinical form was the pulmonary one, which was confirmed through a microscopic examination of expectorated sputum (n = 66; 39.0%). We geocoded 159 cases (94.0%). We observed a non-random spatial distribution of avoidable hospitalizations due to tuberculosis concentrated in the northern and western regions of the municipality. Through the scan statistic, three spatial clusters for risk of hospitalizations due to tuberculosis were identified, one of them in the northern region of the municipality (relative risk [RR] = 3.4; 95%CI 2.7–4,4); the second in the central region, where there is a prison unit (RR = 28.6; 95%CI 22.4–36.6); and the last one in the southern region, and area of protection for hospitalizations (RR = 0.2; 95%CI 0.2–0.3). We did not identify any space-time clusters. CONCLUSIONS The investigation showed priority areas for the control and surveillance of tuberculosis, as well as the profile of the affected population, which shows important aspects to be considered in terms of management and organization of health care services targeting effectiveness in primary health care

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

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    Aim: To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser-availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource-availability hypothesis). Time period: Tree-inventory plots established between 1934 and 2019. Major taxa studied: Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location: Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods: We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree-inventory plots across terra-firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance-weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results: Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra-firme forests (excluding podzols) compared to flooded forests. Main conclusions: The disperser-availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types
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