Childhood mortality: still a global priority

Mortality of children under-5 continues to be a global priority. In 2012, 6.6 million children under-5 died worldwide; more than half of these deaths are due to diseases that are preventable and treatable through simple, affordable interventions. In response to the United Nations’ Millennium Development Goal (MDGs) which called, through MDG4,to “reduceby two thirds the under-5 child mortality, between 1990 and 2015”, global organizations and many countries set targets and developed specific strategies to reduce child mortality and monitor progress.As a result, the number of deaths in children under-5 worldwide declined from 12.4 million in 1990 to 6.6 in 2012. Under-5 child mortality dropped in all regions of the world. However, two major challenges face the international community: The wide disparity in the risk of child death among countries, and the emerging role of neonatal death as a major component of child mortality. In order to continue the progress in reducing under-5 child mortality worldwide, current efforts must continue and new strategies need to be implemented to focus on preventing neonatal deaths as they start to represent a larger proportion of under-5 child deaths. In particular, further reduction in neonatal mortality will depend heavily on improving maternal health (MDG5).The world leaders continue to support the MDGs. In 2010, in a major push to accelerate progress on women’s and children’s health, a number of Heads of State and Government from developed and developing countries, along with the private sector, foundations, international organizations, civil society and research organizations, pledged over $40 billion in resources over the next five years

Desigualdades na saúde: desafios, oportunidades e o que você pode fazer sobre isso: English

Racial disparities in health outcomes, access to health care, insurance coverage, and quality of care in the United States have existed for many years. The Development and implementation of effective strategies to reduce or eliminate health disparities are hindered by our inability to accurately assess the extent and types of health disparities due to the limited availability of race/ethnicity-specific information, the limited reliability of existing data and information, and the increasing diversity of the American population. Variations in racial and ethnic classification used to collect data hinders the ability to obtain reliable and accurate health-indicator rates and in some instances cause bias in estimating the race/ethnicity-specific health measures. In 1978, The Office of Management and Budget (OMB) issued "Directive 15" titled "Race and Ethnic Standards for Federal Statistics and Administrative Reporting" and provided a set of clear guidelines for classifying people by race and ethnicity. Access to health care, behavioral and psychosocial factors as well as cultural differences contribute to the racial and ethnic variations that exist in a person’s health. To help eliminate health disparities, we must ensure equal access to health care services as well as quality of care. Health care providers must become culturally competent and understand the differences that exist among the people they serve in order to eliminate disparities. Enhancement of data collection systems is essential for developing and implementing interventions targeted to deal with population-specific problems. Developing comprehensive and multi-level programs to eliminate healthcare disparities requires coordination and collaboration between the public (Local, state and federal health departments), private (Health Insurance companies, private health care providers), and professional (Physicians, nurses, pharmacists, laboratories, etc) sectors.  Disparidades raciais nos resultados de saúde, acesso a cuidados de saúde, cobertura de seguro e qualidade de atendimento nos Estados Unidos existem há muitos anos. O desenvolvimento e a implementação de estratégias efetivas para reduzir ou eliminar as disparidades de saúde são dificultadas pela nossa incapacidade de avaliar com precisão a extensão e os tipos de disparidades de saúde devido à disponibilidade limitada de informações específicas de raça / etnia, confiabilidade limitada dos dados e informações existentes. e a crescente diversidade da população americana. Variações na classificação racial e étnica usadas para coletar dados dificultam a obtenção de índices confiáveis e precisos de indicadores de saúde e, em alguns casos, causam viés na estimativa de medidas de saúde específicas de raça / etnia. Em 1978, o Escritório de Administração e Orçamento (OMB) publicou a "Diretriz 15" intitulada "Normas Raciais e Étnicas para Estatísticas Federais e Relatórios Administrativos" e forneceu um conjunto de diretrizes claras para classificar as pessoas por raça e etnia. O acesso a cuidados de saúde, factores comportamentais e psicossociais, bem como diferenças culturais, contribuem para as variações raciais e étnicas que existem na saúde de uma pessoa. Para ajudar a eliminar as disparidades de saúde, devemos garantir a igualdade de acesso aos serviços de saúde, bem como a qualidade do atendimento. Os prestadores de cuidados de saúde devem tornar-se culturalmente competentes e compreender as diferenças existentes entre as pessoas que servem para eliminar as disparidades. O aprimoramento dos sistemas de coleta de dados é essencial para desenvolver e implementar intervenções direcionadas para lidar com problemas específicos da população. O desenvolvimento de programas abrangentes e multiníveis para eliminar as disparidades na atenção à saúde exige coordenação e colaboração entre os setores público, privado e profissional (departamentos de saúde locais, estaduais e federais), privados (empresas de seguro-saúde, provedores privados de saúde) e profissionais (médicos e enfermeiros), farmacêuticos, laboratórios, etc)

THE EVOLVING ROLE OF PUBLIC HEALTH IN THE DELIVERY OF HEALTH CARE

Health care is conventionally regarded as the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Some examples of public health measures include ensuring a safe and healthy environment, clean water, safe workplaces; promotion of healthy behaviors such as hand washing and breast feeding; and, preventing infectious diseases such as delivery of vaccinations and distribution of condoms to control the spread of sexually transmitted diseases. How we define the quality of public health at any given time must be compatible with future generations enjoying health in an equivalent way. Public health practitioners must also integrate sustain ability in the definition of public health.Health care is conventionally regarded as the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in humans. Some examples of public health measures include ensuring a safe and healthy environment, clean water, safe workplaces; promotion of healthy behaviors such as hand washing and breast feeding; and, preventing infectious diseases such as delivery of vaccinations and distribution of condoms to control the spread of sexually transmitted diseases. How we define the quality of public health at any given time must be compatible with future generations enjoying health in an equivalent way. Public health practitioners must also integrate sustain ability in the definition of public health

Burden of disease resulting from hemophilia in the U.S.

BACKGROUND: Hemophilia is a hereditary bleeding disorder. Its complications can result in substantial morbidity, but few efforts have been made to quantify the disease burden. PURPOSE: The objective of this analysis was to estimate the burden of disease due to hemophilia (A and B) in the U.S., using disability-adjusted life years (DALY). METHODS: The approach taken by the WHO in its Global Burden of Disease study was followed. Assumptions were drawn from published literature, and population estimates from the U.S. Census Bureau for the Year 2007 were used. Estimations of years of life lost resulting from mortality (YLL) and years of life lost resulting from morbidity (YLD) were done separately by gender, 5-year age intervals, and severity of disease (morbidity only) with their sum representing DALYs. Disability weights were derived from the quality-of-life tool EuroQol (EQ-5D). The stability of burden estimates was tested by performing sensitivity analyses, changing one assumption at a time. RESULTS: In the U.S. in 2007, hemophilia resulted in 110,095 DALYs, composed of 13,418 YLLs and 96,677 YLDs. Large differences between men/boys (107,346) and women/girls (2749) were observed, given that females are genetic carriers of the disorder and rarely present with disease. Sensitivity analyses revealed a relatively robust estimate with a maximum variation of 4.49%. CONCLUSIONS: This first estimate of hemophilia-related DALYs in the U.S. indicates that control of hemophilia can potentially result in a gain of 1 healthy year of life for every 2700 people in the population

Overcoming social and health inequalities among U.S. women of reproductive age - challenges to the nation's health in the 21st century.

OBJECTIVE: To frame the discussion of the nation's health within the context of maternal and child health. METHODS: We used national data or estimates to assess the burden of 46 determinants. RESULTS: During 2002-2004, U.S. women of reproductive age experienced significant challenges from macrosocial determinants, to health care access, and to their individual health preservation. Two-thirds of women do not consume recommended levels of fruits and vegetables. Overall, 29% experienced income poverty, 16.3% were uninsured. About one in four women of reproductive age lived with poor social capital. Compared with white women of reproductive age, non-white women reported higher levels of dissatisfaction with the health care system and race-related discrimination. Among all U.S. women, chronic diseases contributed to the top nine leading causes of disability adjusted life years. About one-third of women had no prophylactic dental visits in the past year, or consumed alcohol at harmful levels and smoked tobacco. One in three women who had a child born recently did not breast feed their babies. Demographics of women who are at increased risk for the above indicators predominate among the socioeconomically disadvantaged. CONCLUSIONS: At least three-fourths of the U.S. women of reproductive age were at risk for poor health of their own and their offspring. Social intermediation and health policy changes are needed to increase the benefits of available health and social sector interventions to women and thereby to their offspring

Correlates of in-hospital deaths among hospitalizations with pulmonary embolism: findings from the 2001-2008 National Hospital Discharge Survey.

BACKGROUND: Deep vein thrombosis and pulmonary embolism (PE) are responsible for substantial mortality, morbidity, and impaired health-related quality of life. The aim of this study was to evaluate the correlates of in-hospital deaths among hospitalizations with a diagnosis of PE in the United States. METHODS: By using data from the 2001-2008 National Hospital Discharge Survey, we assessed the correlates of in-hospital deaths among 14,721 hospitalizations with a diagnosis of PE and among subgroups stratified by age, sex, race, days of hospital stay, type of admission, cancer, pneumonia, and fractures. We produced adjusted rate ratios (aRR) and 95% confidence intervals using log-linear multivariate regression models. RESULTS: Regardless of the listing position of diagnostic codes, we observed an increased likelihood of in-hospital death in subgroups of hospitalizations with ages 50 years and older (aRR = 1.82-8.48), less than 7 days of hospital stay (aRR = 1.43-1.57), cancer (aRR = 2.10-2.28), pneumonia (aRR = 1.79-2.20), or fractures (aRR = 2.18) (except for first-listed PE), when compared to the reference groups with ages 1-49 years, 7 days or more of hospital stay, without cancer, pneumonia, or fractures while adjusting for covariates. In addition, we observed an increased likelihood of in-hospital death for first-listed PE in hospitalizations of women, when compared to those of men (aRR = 1.45). CONCLUSIONS: The results of this study provide support for identifying, developing, and implementing effective, evidence-based clinical assessment and management strategies to reduce PE-related morbidity and mortality among hospitalized PE patients who may have concurrent health conditions including cancer, pneumonia, and fractures