959 resultados para years of life lost


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This report provides an overview of results from the Australian Burden of Disease and Injury Study undertaken by the AIHW during 1998 and 1999. The Study uses the methods developed for the Global Burden of Disease Study, adapted to the Australian context and drawing extensively on Australian sources of population health data. It provides a comprehensive assessment of the amount of ill health and disability, the ‘burden of disease’ in Australia in 1996.

Mortality, disability, impairment, illness and injury arising from 176 diseases, injuries and risk factors are measured using a common metric, the Disability-Adjusted Life Year or DALY. One DALY is a lost year of ‘healthy’ life and is calculated as a combination of years of life lost due to premature mortality (YLL) and equivalent ‘healthy’ years of life lost due to disability (YLD). This report provides estimates of the contribution of fatal and non-fatal health outcomes to the total burden of disease and injury measured in DALYs in Australia in 1996.

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An overview of the results of the Australian Burden of Disease (ABD) study is presented. The ABD study was the first to use methodology developed for the Global Burden of Disease study to measure the burden of disease and injury in a developed country. In 1996, mental disorders were the main causes of disability burden, responsible for nearly 30% of total years of life lost to disability (YLD), with depression accounting for 8% of the total YLD. Ischaemic heart disease and stroke were the main contributors to the disease burden disability-adjusted life years (DALYs), together causing nearly 18% of the total disease burden. Risk factors such as smoking, alcohol consumption, physical inactivity, hypertension, high blood cholesterol, obesity and inadequate fruit and vegetable consumption were responsible for much of the overall disease burden in Australia. The lessons learnt from the ABD study are discussed, together with methodological issues that require further attention.

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The objective of this paper is to provide an overview of methods used for estimating the burden from musculoskeletal (MSK) conditions in the Global Burden of Diseases 2010 study. It should be read in conjunction with the disease-specific MSK papers published in Annals of Rheumatic Diseases. Burden estimates (disability-adjusted life years (DALYs)) were made for five specific MSK conditions: hip and/or knee osteoarthritis (OA), low back pain (LBP), rheumatoid arthritis (RA), gout and neck pain, and an 'other MSK conditions' category. For each condition, the main disabling sequelae were identified and disability weights (DW) were derived based on short lay descriptions. Mortality (years of life lost (YLLs)) was estimated for RA and the rest category of 'other MSK', which includes a wide range of conditions such as systemic lupus erythematosus, other autoimmune diseases and osteomyelitis. A series of systematic reviews were conducted to determine the prevalence, incidence, remission, duration and mortality risk of each condition. A Bayesian meta-regression method was used to pool available data and to predict prevalence values for regions with no or scarce data. The DWs were applied to prevalence values for 1990, 2005 and 2010 to derive years lived with disability. These were added to YLLs to quantify overall burden (DALYs) for each condition. To estimate the burden of MSK disease arising from risk factors, population attributable fractions were determined for bone mineral density as a risk factor for fractures, the occupational risk of LBP and elevated body mass index as a risk factor for LBP and OA. Burden of Disease studies provide pivotal guidance for governments when determining health priority areas and allocating resources. Rigorous methods were used to derive the increasing global burden of MSK conditions.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fatal gunshot injury deaths and their characteristics were ascertained for the population of Galveston County, Texas, for 1979-81. A total of 147 gunshot deaths occurring to residents of Galveston County were enumerated from death certificates, police and hospital records. Residents accounted for 96.1% of all gunshot deaths occurring in the county. The overall firearms death rate was 25 per 100,000 population. This ranked gunshot mortality as the third leading cause of injury death and the sixth leading cause of death from all causes. Gunshot deaths accounted for 10% of all years of life lost due to premature mortality.^ Firearms accounted for 73% of all homicide deaths. The median age of gunshot homicide victims was 27 years. Gunshot homicide mortality was highest among black males with a rate of 61 per 100,000. Rates of 23 per 100,000 and 12 per 100,000 were observed for Hispanic males and black females respectively. Gunshot homicide cases were characterized by use of "low quality" handguns (76.1%), circumstances involving a "relationship breakup" (38.1%), and alcohol consumption (79.6%). The place of occurrence of gunshot homicide was a residence in over half of all cases. The occupation most frequently associated was fishing and farming. Homicide was the primary motivation for 84% of the cases.^ The descriptive epidemiology of gunshot suicide differed from that of gunshot homicide. Firearms accounted for 64% of all suicide deaths. The median age of gunshot suicide victims was 41 years. Gunshot suicide mortality was highest among white males with a rate of 24 per 100,000. Rates of 14 per 100,000 and 9 per 100,000 were observed for black males and Hispanic females respectively. Gunshot suicide cases were characterized by use of "low quality" handguns (69.4%), circumstances involving a "relationship breakup" (39.1%) and alcohol consumption (63%). The place of occurrence was a residence in 80% of the cases. The occupation most frequently associated was police or security guard.^ Strategies for primary prevention are recommended. The research strategy, based on Haddon's model, is suggested for further investigations. ^

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Objective: To evaluate whether the introduction of a national, co-ordinated screening program using the faecal occult blood test represents 'value-for-money' from the perspective of the Australian Government as third-party funder. Methods: The annual equivalent costs and consequences of a biennial screening program in 'steady-state' operation were estimated for the Australian population using 1996 as the reference year. Disability-adjusted life years (DALYs) and the years of life lost (YLLs) averted, and the health service costs were modelled, based on the epidemiology and the costs of colorectal cancer in Australia together with the mortality reduction achieved in randomised controlled trials. Uncertainty in the model was examined using Monte Carlo simulation methods. Results: We estimate a minimum or 'base program' of screening those aged 55 to 69 years could avert 250 deaths per annum (95% uncertainty interval 99-400), at a gross cost of $A55 million (95% UI $A46 million to $A96 million) and a gross incremental cost-effectiveness ratio of $A17,000/DALY (95% UI $A13,000/DALY to $A52,000/DALY). Extending the program to include 70 to 74-year-olds is a more effective option (cheaper and higher health gain) than including the 50 to 54-year-olds. Conclusions: The findings of this study support the case for a national program directed at the 55 to 69-year-old age group with extension to 70 to 74-year-olds if there are sufficient resources. The pilot tests recently announced in Australia provide an important opportunity to consider the age range for screening and the sources of uncertainty, identified in the modelled evaluation, to assist decisions on implementing a full national program.

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Objective. To determine the cost-effectiveness of averting the burden of disease. We used secondary population data and metaanalyses of various government-funded services and interventions to investigate the costs and benefits of various levels of treatment for rheumatoid arthritis (RA) and osteoarthritis (OA) in adults using a burden of disease framework. Method. Population burden was calculated for both diseases in the absence of any treatment as years lived with disability (YLD), ignoring the years of life lost. We then estimated the proportion of burden averted with current interventions, the proportion that could be averted with optimally implemented cut-rent evidence-based guidelines, and the direct treatment cost-effectiveness ratio in dollars per YLD averted for both treatment levels. Results. The majority of people with arthritis sought medical treatment. Current treatment for RA averted 26% of the burden, with a cost-effectiveness ratio of $19,000 per YLD averted. Optimal, evidence-based treatment would avert 48% of the burden. with a cost-effectiveness ratio of $12,000 per YLD averted. Current treatment of OA in Australia averted 27% of the burden, with a cost-effectiveness ratio of $25,000 per YLD averted. Optimal, evidence-based treatment would avert 39% of the burden, with an unchanged cost-effectiveness ratio of $25,000 per YLD averted. Conclusion. While the precise dollar costs in each country will differ, the relativities at this level of coverage should remain the same. There is no evidence that closing the gap between evidence and practice would result in a drop in efficiency.

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Objective To compare mortality burden estimates based on direct measurement of levels and causes in communities with indirect estimates based on combining health facility cause-specific mortality structures with community measurement of mortality levels. Methods. Data from sentinel vital registration (SVR) with verbal autopsy (VA) were used to determine the cause-specific mortality burden at the community level in two areas of the United Republic of Tanzania. Proportional cause-specific mortality structures from health facilities were applied to counts of deaths obtained by SVR to produce modelled estimates. The burden was expressed in years of life lost. Findings. A total of 2884 deaths were recorded from health facilities and 2167 recorded from SVR/VAs. In the perinatal and neonatal age group cause-specific mortality rates were dominated by perinatal conditions and stillbirths in both the community and the facility data. The modelled estimates for chronic causes were very similar to those from SVR/VA. Acute febrile illnesses were coded more specifically in the facility data than in the VA. Injuries were more prevalent in the SVR/VA data than in that from the facilities. Conclusion. In this setting, improved International classification of diseases and health related problems, tenth revision (ICD-10) coding practices and applying facility-based cause structures to counts of deaths from communities, derived from SVR, appears to produce reasonable estimates of the cause-specific mortality burden in those aged 5 years and older determined directly from VA. For the perinatal and neonatal age group, VA appears to be required. Use of this approach in a nationally representative sample of facilities may produce reliable national estimates of the cause-specific mortality burden for leading causes of death in adults.

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Background: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods: Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings: All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation: Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks.

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Background. Cause-of-death statistics are an essential component of health information. Despite improvements, underregistration and misclassification of causes make it difficult to interpret the official death statistics. Objective. To estimate consistent cause-specific death rates for the year 2000 and to identify the leading causes of death and premature mortality in the provinces. Methods. Total number of deaths and population size were estimated using the Actuarial Society of South Africa ASSA2000 AIDS and demographic model. Cause-of-death profiles based on Statistics South Africa's 15% sample, adjusted for misclassification of deaths due to ill-defined causes and AIDS deaths due to indicator conditions, were applied to the total deaths by age and sex. Age-standardised rates and years of life lost were calculated using age weighting and discounting. Results. Life expectancy in KwaZulu-Natal and Mpumalanga is about 10 years lower than that in the Western Cape, the province with the lowest mortality rate. HIV/AIDS is the leading cause of premature mortality for all provinces. Mortality due to pre-transitional causes, such as diarrhoea, is more pronounced in the poorer and more rural provinces. In contrast, non-communicable disease mortality is similar across all provinces, although the cause profiles differ. Injury mortality rates are particularly high in provinces with large metropolitan areas and in Mpumalanga. Conclusion. The quadruple burden experienced in all provinces requires a broad range of interventions, including improved access to health care; ensuring that basic needs such as those related to water and sanitation are met; disease and injury prevention; and promotion of a healthy lifestyle. High death rates as a result of HIV/AIDS highlight the urgent need to accelerate the implementation of the treatment and prevention plan. In addition, there is an urgent need to improve the cause-of-death data system to provide reliable cause-of-death statistics at health district level.

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Background Burden of disease estimates for South Africa have highlighted the particularly high rates of injuries related to interpersonal violence compared with other regions of the world, but these figures tell only part of the story. In addition to direct physical injury, violence survivors are at an increased risk of a wide range of psychological and behavioral problems. This study aimed to comprehensively quantify the excess disease burden attributable to exposure to interpersonal violence as a risk factor for disease and injury in South Africa. Methods The World Health Organization framework of interpersonal violence was adapted. Physical injury mortality and disability were categorically attributed to interpersonal violence. In addition, exposure to child sexual abuse and intimate partner violence, subcategories of interpersonal violence, were treated as risk factors for disease and injury using counterfactual estimation and comparative risk assessment methods. Adjustments were made to account for the combined exposure state of having experienced both child sexual abuse and intimate partner violence. Results Of the 17 risk factors included in the South African Comparative Risk Assessment study, interpersonal violence was the second leading cause of healthy years of life lost, after unsafe sex, accounting for 1.7 million disability-adjusted life years (DALYs) or 10.5% of all DALYs (95% uncertainty interval: 8.5%-12.5%) in 2000. In women, intimate partner violence accounted for 50% and child sexual abuse for 32% of the total attributable DALYs. Conclusions The implications of our findings are that estimates that include only the direct injury burden seriously underrepresent the full health impact of interpersonal violence. Violence is an important direct and indirect cause of health loss and should be recognized as a priority health problem as well as a human rights and social issue. This study highlights the difficulties in measuring the disease burden from interpersonal violence as a risk factor and the need to improve the epidemiological data on the prevalence and risks for the different forms of interpersonal violence to complete the picture. Given the extent of the burden, it is essential that innovative research be supported to identify social policy and other interventions that address both the individual and societal aspects of violence.

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A violência é considerada uma questão social, ou ainda, um fenômeno social e histórico, que ocorre nas diversas formas de relações humanas e que pode se manifestar em atos individuais ou institucionais, ou seja, realizados por pessoas, grupos, nações, com o objetivo de provocar algum dano físico ou psicológico em outrem. O termo violência, no presente trabalho, refere-se às mortes por causas externas, que incluem as mortes intencionais e as mortes não intencionais, ou seja, agressões, suicídios e acidentes em geral. O objetivo é analisar a evolução da carga de mortalidade no estado do Rio de Janeiro e propor a realocação dos óbitos cuja intenção é indeterminada através de uma nova metodologia. Os dados utilizados são provenientes do Sistema de Informações sobre Mortalidade. Neste estudo, foi utilizado o indicador YLL (Years of Life Lost Anos de Vida Perdidos) na avaliação do comportamento das causas violentas ao longo do tempo, no período de 1996 a 2009, para as macrorregionais de saúde do estado do Rio de Janeiro, através de modelos de efeitos mistos. Foi aplicada a regressão logística multinomial nos óbitos com causa básica conhecida, utilizando as informações como lesões e características individuais das vítimas, para prever qual seria a causa básica de morte nos registros indeterminados com características semelhantes aos óbitos com causas conhecidas. Os resultados encontrados mostram que a violência aumentou em regiões do interior do estado, com destaque para a macrorregional Norte. Na capital e nas regiões metropolitanas, houve uma estabilização das taxas, com exceção para as mortes por agressão que sofreram queda, porém as taxas de YLL permaneceram elevadas. As duas metodologias de realocação, da Carga de Doença e desta nova proposta, aumentam todas as taxas de mortalidade por grupo de causas, porém o grupo que sofreu maior impacto foi o de quedas. Os resultados encontrados, apesar das limitações, apontam para uma proposta de combinação das duas metodologias. Para os óbitos com causa básica de Y10 (Envenenamento [intoxicação] por e exposição a analgésicos, antipiréticos e anti-reumáticos nãoopiáceos, intenção não determinada) a Y33 (Outros fatos ou eventos especificados, intenção não determinada), seria utilizada a metodologia da Carga de Doenças e, para os óbitos de Y34 (Fatos ou eventos não especificados e intenção não determinada), seria utilizado o método proposto.

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RESUMO - Introdução: A despesa em saúde aumentou consideravelmente nas últimas décadas na maioria dos países industrializados. Por outro lado, os indicadores de saúde melhoraram. A evidência empírica sobre a relação entre as despesas em saúde e a saúde das populações tem sido inconclusiva. Este estudo aborda a relação entre as despesas em saúde e a saúde das populações através de dados agregados para 34 países para o período 1980-2010. Metodologia: Utilizou-se o coeficiente de correlação de Pearson para avaliar a correlação entre as variáveis explicativas e os indicadores de saúde. Procedeuse ainda à realização de uma regressão multivariada com dados em painel para cada indicador de saúde utilizado como variável dependente: esperança de vida à nascença e aos 65 anos para mulheres e homens, anos de vida potencialmente perdidos para mulheres e homens e mortalidade infantil. A principal variável explicativa utilizada foi a despesa em saúde, mas consideraram-se também vários fatores de confundimento, nomeadamente a riqueza, fatores estilo de vida, e oferta de cuidados. Resultados: A despesa per capita tem impacto nos indicadores de saúde mas ao adicionarmos a variável PIB per capita deixa de ser estatisticamente significativa. Outros fatores têm um impacto significativo para quase todos os indicadores de saúde utilizados: consumo de álcool e tabaco, gordura, o número de médicos e a imunização, confirmando vários resultados da literatura. Conclusão: Os resultados vão ao encontro de alguns estudos que afirmam o impacto marginal das despesas em saúde e do progresso da medicina nos resultados em saúde desde os anos 80 nos países industrializados.

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RESUMO - A obesidade constitui um importante problema de saúde pública com consequências económicas de grande dimensão. Os obesos têm um risco acrescido de contrair doenças e de sofrer morte prematura devido a problemas como a diabetes, hipertensão arterial, AVC, insuficiência cardíaca e algumas neoplasias malignas. O presente estudo tem como objectivo estimar o custo económico indirecto (valor da produção perdida) associado à obesidade em Portugal no ano de 2002. O estudo adopta uma abordagem tipo custos da doença baseada na prevalência. Os dados são retirados do Inquérito Nacional de Saúde e estatísticas de rotina publicadas pelo INE e por outros organismos oficiais. Consideram-se como obesas pessoas com índice de massa corporal (IMC) ≥ 30 kg/m2 e estabelecem-se como limites etários para participação em actividades económicas produtivas as idades compreendidas entre os 15 e os 64 anos. A estratégia de imputação de custos ao factor de risco obesidade caracteriza- se por estimar, para a população portuguesa, as proporções de doença e morte prematura atribuíveis à obesidade e em multiplicar as estimativas populacionais encontradas pelo valor da produtividade económica potencial das pessoas afectadas. O custo indirecto total da obesidade em Portugal no ano de 2002 foi estimado em 199,8 milhões de euros. A mortalidade contribuiu com 58,4% deste valor (117 milhões de euros) e a morbilidade com 41,6% (83 milhões de euros). Os custos da morbilidade advêm de mais de 1,6 milhões de dias de incapacidade anuais, principalmente por faltas ao trabalho associadas a doenças do sistema circulatório e diabetes tipo II. Os custos da mortalidade são o resultado de 18 733 potenciais anos de vida activa perdidos, numa razão de 3 mortes masculinas por cada morte feminina. Os resultados indicam que a obesidade acarreta consideráveis perdas económicas para o país. Comparando os resultados com um estudo complementar que calculou os custos directos (em cuidados de saúde) da obesidade, verifica-se que a componente indirecta representa 40,2% do total dos custos da obesidade. A implementação de estratégias que prevenissem ou reduzissem a incidência e prevalência de obesidade em Portugal poderia gerar ganhos de produtividade elevados. Para conhecer a dimensão destes ganhos é necessária mais investigação sobre os benefícios clínicos e relação custo-efectividade de estratégias para a redução da obesidade.

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Thèse réalisée en cotutelle avec Université Paris 11 (Ecole Doctorale 420)