979 resultados para Health Inequality


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RESUMO - INTRODUÇÃO: A equidade em cuidados de saúde constitui uma prioridade das políticas de saúde, tendo vários estudos descrito uma iniquidade que geralmente favorece os indivíduos com maior rendimento e nível educacional. Este estudo visa caracterizar as desigualdades socioeconómicas na utilização de cuidados de saúde na população com 65 ou mais anos de idade, dadas as suas características, maior vulnerabilidade e crescente peso demográfico na população. METODOLOGIA: Através de dados do INS, procedeu-se à análise univariada e multivariada por regressão linear múltipla para avaliação das desigualdades socioeconómicas na utilização de cuidados de saúde em 8698 indivíduos. RESULTADOS: Identifica-se um padrão de desigualdade na utilização de cuidados de saúde – indivíduos com maior rendimento e nível de escolaridade utilizam em média mais consultas de especialidade; ocorrendo o inverso nas consultas de CSP. Com ajustamento pela necessidade, através do estado de saúde auto-reportado, observa-se um padrão de iniquidade no sexo masculino relativamente às consultas em geral e consultas de CSP. DISCUSSÃO E CONCLUSÕES: A iniquidade na utilização de cuidados de saúde, apesar de não constituir a única causa, pode determinar maior iniquidade em saúde, pelo que é relevante o seu estudo. Os resultados alcançados podem ser justificados pelas características do SNS, assim como pelas isenções de taxas moderadoras, rede social, outros indicadores económicos, ou ainda pelo próprio contexto de vida do individuo. Torna-se fundamental prosseguir a investigação acerca da equidade, assim como promover uma ampla reflexão sobre os desafios futuros do sistema de saúde, que permitam preservar a sua sustentabilidade e princípios fundadores.

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This series of Good Practice Guides is designed to share important information about health inequalities and some of the evidence-based measures that can be taken to reduce the stark differences in health and wellbeing within populations. It is recognised that leadership and coordinated, effective action at a number of levels can reduce this gap. Ensuring concerted, evidence-based action on health and wellbeing inequalities demands the efforts of government, statutory organisations and the community, voluntary and private sectors. The Good Practice Guides were developed to inform and support joined-up working across these sectors. It is known that health inequalities are closely linked with degrees of social disadvantage and with the unequal distribution of power, income, goods and services. According to the World Health Organization, there are also powerful social and psychological factors and life circumstances that can serve to compound health and wellbeing inequalities. The topics included in the Good Practice Guide series reflect the wider determinants of health and the range of approaches necessary to reduce health inequalities. This first set of three guides is designed, in part, to test their usefulness. There are many other issues and areas where evidence of what works may be needed. It is envisaged that further guides will follow on other issues. All of the guides will be kept under review and amended in light of experience.

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This document presents executive summaries of pieces of research carried out under the auspices of a Department of Health funded research programme. The aim of the programme was to provide research based evidence that would underpin the development of high quality and effective interventions with groups of young people thought to be vulnerable to developing drug misuse problems. The focus of the initiative was to inform primary and secondary drug prevention strategies and other opportunities to intervene. The background to each project, methodology used and findings are presented.This resource was contributed by The National Documentation Centre on Drug Use.

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Life expectancy by socio-economic status is an important measure of health inequality. This article presents proposed changes in the methods used to estimate life expectancy by social class using the ONS Longitudinal Study.

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Legislation enacted on 1 April 2009 created a new commissioning system in Northern Ireland with the establishment of a region-wide Health and Social Care Board (including five Local Commissioning Groups (LCGs) and a Public Health Agency).The Health and Social Care Board is required by statute to prepare and publish each year a Commissioning Plan setting out the health and social care services to be commissioned and the associated costs of delivery.This is the�third Commissioning Plan to be produced by the Health and Social Care Board and Public Health Agency. It takes forward and builds upon the key themes set out in the first two Commissioning Plans, in particular tackling health inequalities, reforming acute hospital services, reforming social care services and establishing Primary Care Partnerships.

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This series of Good Practice Guides is designed to share important information about health inequalities and some of the evidence-based measures that can be taken to reduce the stark differences in health and wellbeing within populations.

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Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation. Methods: We determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality. Results: Mortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe. Conclusions: There are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants

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Subjective measures of health tend to suffer from bias given by reporting heterogeneity. however, some methodologies are used to correct the bias in order to compare self-assessed health for respondents with different sociodemographic characteristics. One of the methods to correct this is the hierarchical ordered probit (hopit), which includes rates of vignettes -hypothetical individuals with a fixed health state- and where two assumptions have to be fulfilled, vignette equivalence and response consistency. this methodology is used for the self-reported work disability for a sample of the united states for 2011. The results show that even though sociodemographic variables influence rating scales, adjusting for this does not change their effect on work disability, which is only influenced by income. the inclusion of variables related with ethnicity or place of birth does not influence the true work disability. however, when only one of them is excluded, it becomes significant and affects the true level of work disability as well as income.

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La hemorragia de vías digestivas altas (HVDA) es una emergencia frecuente. La etiología más común es la úlcera péptica. La restauración del volumen intravascular y la presión arterial son la prioridad del manejo. La endoscopia (EGD) debe realizarse luego de la reanimación inicial y lograda la estabilización hemodinámica, tratar la lesión subyacente mediante hemostasia. Se realiza un estudio en un hospital de referencia de tercer nivel, Cundinamarca, Colombia Materiales y métodos: Estudio descriptivo retrospectivo, datos obtenidos de la historia clínica electrónica de pacientes adultos que consultaron por urgencias en el Hospital Universitario de la Samaritana (HUS) por HVDA, diagnosticada por hematemesis, melenas, hematoquezia y/o anemia; a quienes se les realizó EGD durante abril del 2010 - abril del 2011. Resultados: Se atendieron 385 pacientes en el período de estudio, 100 fueron excluidos debido a hemorragia secundaria a várices esofágicas, historia incompleta y hemorragia digestiva baja, para un total de 285 pacientes analizados. El 69.1% eran mayores de 60 años. El 73.3% presentaba hipertensión arterial, el 55.1% reportaba ingesta de Anti-inflamatorios no esteroideos (AINES) y Aspirina (ASA). El 19.6% reportaba episodios de sangrado previos y 17.9% presentó inestabilidad hemodinámica. Sesenta y tres pacientes (22,1%) requirieron hemostasia endoscópica, treinta y dos (11.2%) presentaron resangrado. La mortalidad reportada fue del 13.1%, del cual 55.3% correspondía a hombres. Discusión: La mayoría de la población atendida en el HUS por HVDA son adultos mayores de 60 años. La úlcera péptica, continúa siendo el diagnóstico más frecuente asociado al uso de AINES y ASA.

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Background: Infant mortality is an important measure of human development, related to the level of welfare of a society. In order to inform public policy, various studies have tried to identify the factors that influence, at an aggregated level, infant mortality. The objective of this paper is to analyze the regional pattern of infant mortality in Brazil, evaluating the effect of infrastructure, socio-economic, and demographic variables to understand its distribution across the country. Methods: Regressions including socio-economic and living conditions variables are conducted in a structure of panel data. More specifically, a spatial panel data model with fixed effects and a spatial error autocorrelation structure is used to help to solve spatial dependence problems. The use of a spatial modeling approach takes into account the potential presence of spillovers between neighboring spatial units. The spatial units considered are Minimum Comparable Areas, defined to provide a consistent definition across Census years. Data are drawn from the 1980, 1991 and 2000 Census of Brazil, and from data collected by the Ministry of Health (DATASUS). In order to identify the influence of health care infrastructure, variables related to the number of public and private hospitals are included. Results: The results indicate that the panel model with spatial effects provides the best fit to the data. The analysis confirms that the provision of health care infrastructure and social policy measures (e. g. improving education attainment) are linked to reduced rates of infant mortality. An original finding concerns the role of spatial effects in the analysis of IMR. Spillover effects associated with health infrastructure and water and sanitation facilities imply that there are regional benefits beyond the unit of analysis. Conclusions: A spatial modeling approach is important to produce reliable estimates in the analysis of panel IMR data. Substantively, this paper contributes to our understanding of the physical and social factors that influence IMR in the case of a developing country.

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OBJECTIVE—The purpose of this study was to compare prevalence and risk factors for diabetic retinopathy among U.K. residents of South Asian or white European ethnicity. RESEARCH DESIGN AND METHODS—This was a community-based cross-sectional study involving 10 general practices; 1,035 patients with type 2 diabetes were studied: 421 of South Asian and 614 of white European ethnicity. Diabetic retinopathy, sight-threatening retinopathy, maculopathy, and previous laser photocoagulation therapy were assessed after grading of retinal photographs. Data were collected on risk factors including age, duration, and treatment of diabetes, blood pressures, serum total cholesterol, and A1C. RESULTS—Patients of South Asian ethnicity had significantly higher systolic (144 vs. 137 mmHg, P < 0.0001) and diastolic (84 vs. 74 mmHg, P < 0.0001) blood pressure, A1C (7.9 vs. 7.5%, P < 0.0001), and total cholesterol (4.5 vs. 4.2 mmol/l, P < 0.0001). Diabetic retinopathy was detected in 414 (40%) patients (189 South Asian [45%] versus 225 white European [37%]; P = 0.0078). Sight-threatening retinopathy was detected in 142 (14%) patients (68 South Asian [16%] versus 74 white European [12%]; P = 0.0597). After adjustment for confounders, there were significantly elevated risks of any retinopathy and maculopathy for South Asian versus white European patients. CONCLUSIONS—Patients of South Asian ethnicity had a significantly higher prevalence of diabetic retinopathy and maculopathy, with significantly elevated systolic and diastolic blood pressure, A1C, and total cholesterol; lower attained age; and younger age at diagnosis. Earlier onset of disease and higher levels of modifiable risk factors make early detection of diabetes, annual referral for retinal screening, and intensive risk factor control key elements in addressing this health inequality.

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The scope of this study was to determine the prevalence of near misses and complications during pregnancy and the puerperal period, identifying the main clinical and intervention markers and socioeconomic and demographic factors associated with near misses. It involved a cross-sectional, population-based and probabilistic study with multi-stage complex sampling design conducted in Natal, State of Rio Grande do Norte, Brazil. A validated questionnaire was given to 848 women aged 15 to 49 identified in 8,227 households in 60 census sectors. In theanalysis of associations, the Chi-square test applied and calculated the prevalence ratio (PR) with Confidence Interval (CI) of 95% and 5% significance. The prevalence of maternal near misses was 41.1/1000LB, with hospitalization in an Intensive Care Unit (19.1/1000LB) and eclampsia (13.5/1000LB) being the most important markers. The prevalence of complications during pregnancy and the puerperal period was 21.2%. The highest prevalence of near misses was observed in older women, of black/brown race and low socioeconomic status. Conducting population surveys is feasible and may add important information to the study of near misses and the markers highlight the need for enhancing maternal care to reduce health inequality.

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The scope of this study was to determine the prevalence of near misses and complications during pregnancy and the puerperal period, identifying the main clinical and intervention markers and socioeconomic and demographic factors associated with near misses. It involved a cross-sectional, population-based and probabilistic study with multi-stage complex sampling design conducted in Natal, State of Rio Grande do Norte, Brazil. A validated questionnaire was given to 848 women aged 15 to 49 identified in 8,227 households in 60 census sectors. In theanalysis of associations, the Chi-square test applied and calculated the prevalence ratio (PR) with Confidence Interval (CI) of 95% and 5% significance. The prevalence of maternal near misses was 41.1/1000LB, with hospitalization in an Intensive Care Unit (19.1/1000LB) and eclampsia (13.5/1000LB) being the most important markers. The prevalence of complications during pregnancy and the puerperal period was 21.2%. The highest prevalence of near misses was observed in older women, of black/brown race and low socioeconomic status. Conducting population surveys is feasible and may add important information to the study of near misses and the markers highlight the need for enhancing maternal care to reduce health inequality.

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Thesis (Master's)--University of Washington, 2016-08

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OBJECTIVE: To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. METHODS: Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. RESULTS: The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. CONCLUSIONS: Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.