Tendências da morbidade hospitalar por doenças crônicas não transmissíveis no Brasil, 2002 a 2012

Santos, Maria Aline Siqueira; Oliveira, Max Moura de; Andrade, Silvânia Suely Caribé de Araújo; Nunes, Marília Lavocat; Malta, Deborah Carvalho; Moura, Lenildo de

doi:10.5123/s1679-49742015000300005

Cited by 23 publications

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“…The Prais-Winsten regression model was used to identify whether the behavior of the rates was stable (p > 0.05), decreasing (p < 0.05 and negative β 1 regression coefficient), or increasing (p < 0.05 and positive β 1 regression coefficient). After modeling, the average annual variation of hospitalization rates was calculated for the regression coefficient using the equation: (-1 + 10 ^ b)x100, and the respective 95% confidence intervals (95%CI) using the formula b±tSE, where t is the tabulated value for the t test and SE is the value of standard error of the regression coefficient 15 . The tables presented data of 1998, 2007, and 2015, and the relative difference was calculated between the start and end years.…”

Section: Methodsmentioning

confidence: 99%

“…Foi aplicado o modelo autorregressivo de Prais-Winsten, que identificou se o comportamento das taxas foi estável (p > 0,05), decrescente (p < 0,05 e coeficiente de regressão β 1 negativo) ou crescente (p < 0,05 e coeficiente de regressão β 1 positivo). Após a modelagem foi calculada a variação média percentual anual das taxas de internação no período para o coeficiente de regressão por meio do cálculo (-1 + 10 ^ b)x100, e os respectivos intervalos de confiança de 95% (IC95%), pela fórmula b±tEP, onde t é o valor tabelado do teste t e EP o valor do erro-padrão do coeficiente de regressão 15 . As tabelas foram apresentadas com os dados de 1998, 2007 e 2015, e a diferença relativa calculada entre os anos extremos.…”

Section: Métodosunclassified

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Epidemiological overview – 18 years of ICU hospitalization due to trauma in Brazil

2019

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OBJECTIVE Assess the magnitude and trend of hospitalization rates due to traumatic injuries in intensive care units (ICU) in Brazil from 1998 to 2015.METHODS This is an ecological time-series study that analyzed data from the Hospital Information System. A trend analysis of hospitalization rates was performed according to diagnosis, sex and age using generalized linear regression models and Prais-Winsten estimation.RESULTS Rates were higher among male patients, but increased hospitalization due to trauma among female patients influenced the ratio between both sexes. Falls and transport accidents were the most frequent causes of trauma. The average annual growth was 3.6% in ICU trauma hospitalization rates in Brazil, the highest growth was reported in the North region (8%; 95%CI 6.4-9.6), among women (5.4%; 95%CI 4.5-6.3), and among people aged 60 years and older (5.5%; 95%CI, 4.7-6.3). The most frequent causes of trauma are falls (4.5%; 95%CI 3.5-5.5) and care complications (5.4%; 95%CI 4.5-6.3). On the other hand, the annual hospital mortality rate due to trauma in ICU is 1.7% lower, on average (95%CI 2.1-1.3).CONCLUSION An increase in ICU hospitalization rate due to trauma in Brazil may be the result of some factors, such as an increasing number of accidents and cases of violence, the implementation of pre-hospital care, and improved access to care, with more beds in ICU. In addition, population aging is another factor, as a greater increase in hospitalization was observed among people aged 60 years and older.

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Section: Methodsmentioning

confidence: 99%

Section: Métodosunclassified

Epidemiological overview – 18 years of ICU hospitalization due to trauma in Brazil

2019

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“…The findings of this study were in accordance with the studies by Veras 11 and Estrella et al 12 , who found most older adults to be LOH-LM. However, the morbidity is a usual condition in old age, causing long coexistence with chronic diseases and the need for frequent and prolonged hospitalizations 13 . Thus, although the elderlies stand for a small part of the population, their health care is intensely expensive.…”

Section: Discussionmentioning

confidence: 99%

A associação entre capacidade física e probabilidade de internação hospitalar em idosos que vivem na comunidade

et al. 2017

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RESUMO O crescimento da população idosa exige reorganização política, econômica e social, em especial na área da saúde, devido ao impacto sobre esta. A avaliação da Probabilidade de Internação Hospitalar (PIH) é usada como indicador da condição de saúde do idoso. Entretanto, variáveis de capacidade física (CF) ainda não foram associadas com a PIH. Analisou-se a associação entre CF e a PIH de idosos. O estudo realizado foi epidemiológico, transversal e analítico. A seleção da amostra ocorreu de forma aleatória em uma das Equipes de Saúde da Família no bairro Passo d’Areia, no município de Porto Alegre, sendo avaliados 317 idosos com idade ≥ 65 anos. A CF foi avaliada por testes de força de membros superiores e inferiores, flexibilidade e equilíbrio. A PIH foi avaliada pelo instrumento de triagem rápida de Boult. Para análise estatística, a PIH foi ajustada em dois grupos: baixa-média e média alta-alta (MAA) e realizada a análise multivariada de regressão de Poisson. O nível de significância adotado foi de p ≤ 0,05. Nos resultados encontrados, as variáveis físicas que permaneceram associadas à PIH-MAA foram a força de membros inferiores (RP = 1,78; IC 95% = 1,04 - 3,04) e flexibilidade (RP = 2,13; IC 95% = 1,28 - 3,56). Houve associação negativa entre os baixos níveis de força de membro inferior e de flexibilidade com PIH-MAA. A prevalência da PIH-MAA entre indivíduos com força alterada para membros inferiores foi 78% maior em relação àqueles com força normal e 113% entre aqueles com alteração de flexibilidade.

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“…DM imposes high burden on health systems and is associated with higher hospitalization rates, higher utilization of health services, as well as a higher incidence of cardiovascular and cerebrovascular diseases, blindness, renal insufficiency, and non-traumatic lower-limb amputations. Diabetic foot ulcers and associated amputations are among the most common complications, leading to disability and increasing care costs [2,3]. Foot ulcers affect 4% to 10% of people with DM.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Diabetes Mellitus-Related Amputations in the State of Espírito Santo, Brazil

et al. 2020

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Background and objectives: Diabetes mellitus (DM) stands out among the most important public health problems worldwide since it represents a high burden on health systems and is associated with higher hospitalization rates, and a higher incidence of cardiovascular diseases. Amputations are among the most common complications, leading to disability and increasing care costs. This research aims to analyze the prevalence of DM-related amputations, comorbidities and associated risk factors in the diabetic population residing in the State of Espírito Santo, Brazil. Materials and Methods: This is a quantitative, exploratory, cross-sectional study with a time series design and the use of secondary data registered and followed by the system of Registration and Monitoring of Hypertension and Diabetes—SisHiperdia. Results: The sample consisted of 64,196 diabetic patients, out of them, 3.9% had type 1 DM, 10.9% with type 2 DM, and 85.2% with DM coexisting with hypertension. Most were female (66.6%), aged 40 to 59 years (45.6%), and 60 years and older (45.2%). The prevalence of DM-related amputations in the analyzed sample was 1.2% in type 1 DM, 1.5% in type 2 DM, and 2.2% in concomitant DM and hypertension. Higher amputation rates were observed in males in the age group above 60 years in type 1 DM and type 2 DM and were slightly higher in the age groups up to 29 years in DM with hypertension. A higher prevalence of amputation was related to smoking, physical inactivity, acute myocardial infarction (AMI), stroke, chronic kidney disease (CKD), and diabetic foot (DF) in all types of DM. Conclusions: The present study showed a significant prevalence of DM-related amputations. An increased prevalence was evidenced when correlated with smoking, physical inactivity, AMI, stroke, CKD, and DF with significant statistical associations, except for a sedentary lifestyle in type 1 DM.

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Tendências da morbidade hospitalar por doenças crônicas não transmissíveis no Brasil, 2002 a 2012

Cited by 23 publications

References 0 publications

Epidemiological overview – 18 years of ICU hospitalization due to trauma in Brazil

Epidemiological overview – 18 years of ICU hospitalization due to trauma in Brazil

A associação entre capacidade física e probabilidade de internação hospitalar em idosos que vivem na comunidade

Analysis of Diabetes Mellitus-Related Amputations in the State of Espírito Santo, Brazil

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