Translate AMICOR contents if you like

Showing posts with label Global Burden of Diseases. Show all posts
Showing posts with label Global Burden of Diseases. Show all posts

Tuesday, June 12, 2018

GBD US 1990-2016

April 10, 2018

The State of US Health, 1990-2016Burden of Diseases, Injuries, and Risk Factors Among US States

The US Burden of Disease Collaborators
JAMA. 2018;319(14):1444-1472. doi:10.1001/jama.2018.0158
Key Points
Question  How have the levels and trends of burden of diseases, injuries, and risk factors in the United States changed from 1990 to 2016 by state?
Findings  This study, involving examination of 333 causes and 84 risk factors, demonstrated that health in the United States improved from 1990 to 2016, although the drivers of mortality and morbidity have changed in some states, with specific risk factors such as drug use disorders, high body mass index (BMI), and alcohol use disorders being associated with adverse outcomes. In 5 states, the probability of death between ages 20 and 55 years has increased more than 10% between 1990 and 2016.
Meaning  Differences in health outcomes and drivers of morbidity and mortality at the state level indicate the need for greater investment in preventive and medical care across the life course. The intersection of risk, mortality, and morbidity in particular geographic areas needs to be further explored at the state level.
Abstract
Introduction  Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state.
Objective  To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016.
Design and Setting  A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year.
Main Outcomes and Measures  Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed.
Results  Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states).
Conclusions and Relevance  There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

Friday, June 08, 2018

Global Burden of Diseases

In 1997 The Lancet published “Mortality by cause for eight regions of the world: Global Burden of Disease Study”. This Global Burden of Disease (GBD) study was the first in a series of four articles that ushered in a new era in descriptive epidemiology, and launched the ascendancy of the GBD in the then nascent field of global health. The four landmark papers gave the GBD study and its authors, Christopher Murray and Alan Lopez, scientific credibility and exposure in the scientific community.
The first GBD study, describing the epidemiology of death worldwide, was important because of its findings and its discernible historical and scientific trajectory. Working for WHO in Geneva, Lopez had been specialising in vital statistics and defining causes of death for over a decade. Meanwhile, Murray, then based at Harvard's Department of Population and International Health, was investigating the levels, patterns, and causes of adult mortality in the developing world, at a time when, understandably, the world's attention was focused on child survival. The intellectual roots of this project were to be found in earlier collaborative work for the World Bank's World Development Report 1993: Investing in Health. Put together by a team led by Dean Jamison, this influential report used the disability-adjusted life-year (DALY) to measure the burden of disease. DALYs are calculated by combining the years of life lost (YLL) from premature mortality with the years of life lived with disability (YLD), weighted according to severity grading. For the report's analysis, Jamison turned to Murray and Lopez. Their work, quantifying the impact of the combined loss of life from premature death together with loss of healthy life from disability, formed an appendix to the report, entitled The global burden of disease, 1990.
 Opens large image

Christopher Murray and Alan Lopez at the launch of 2010 GBD in December, 2012
Courtesy of the Institute for Health Metrics and Evaluation
The 1997 Lancet papers represented a melding of intellectual approaches: for Lopez it formed a quantum leap in the evolution of a science that he and others had pioneered 15 years earlier, whereas for Murray, the analysis went beyond a body count and enabled him to uncover the causes of premature death—information that is critical for the strategic planning of health-care systems. Lopez and Murray were following in a long tradition. The collection of vital statistics relating to population size, growth, and health had been a preoccupation of rulers and governments since the beginning of recorded history. It has only been in the past 200 years, however, that there has been much of a change in the pattern of mortality. For example, an individual born at any time before the middle of the 18th century had less than a 50% chance of surviving long enough to produce any children. But since the 1950s in high-income countries, life expectancy has improved more than in the entire previous span of human history. As a consequence, to adapt the thinking of the epidemiologist and one of the founders of medical statistics William Farr, how people live and how—of what causes, and at what ages—they die are among the most important questions that can be considered.
As Murray and Lopez stated in their 1997 GBD paper, “Reliable information on causes of death is essential to the development of national and international health policies for prevention and control of disease and injury.” Yet while over the previous 30 years medical services had expanded and statistical techniques had advanced, the accuracy of death certification was low in many developing countries and even in some high-income countries. In fact, Murray and Lopez found that medically certified information was available for less than 30% of the estimated 50·5 million deaths that occurred each year worldwide. Fortunately, a mass of other useful information had been collected, including “sample-registration for India and China, and small-scale population-study data sources”. Collectively, these data made it possible to piece together a realistic picture of the distribution of mortality over large parts of the world, proving the molecular biologist John Cairns' 1997 aphorism that “whenever statistics are available, it is folly not to use them”. Working together towards their shared goal of objectively measuring the health of the entire world, Murray and Lopez recognised that to add to the canon of accepted knowledge, their estimates needed to be internally consistent and plausible. As such, registration data “were corrected for miscoding, and Lorenz-curve analysis was used to estimate cause-of-death patterns in areas without registration”.
Unlike the sophisticated GBD research of today, with its many collaborators and use of Bayesian algorithms that bring biological knowledge into statistical analysis, the 1997 paper was a fairly low-budget affair. With only basic computational power available and a reliance on the use of spreadsheets, interpreting the study's findings was, as Murray recalled, to prove “as much an art as it was straight science”. Bringing the diffuse datasets together for eight regions of the world could be achieved only through a painstaking analysis of the evidence and the application of skilled understandings of mathematics and demography. So while interpretation and inference played a part, the study's judgments were most clearly guided by elements of the science of statistics. Much of the groundwork, the “gathering, vacuuming, cleaning, torturing, and interpretation of data”, was done by Lopez. As Lopez freely admits, “I didn't have the vision Chris had, and the GBD would have never have happened if I led it; and…I didn't think it could be done. But I realised that ‘this guy [Murray] has got a vision, and I'm going to go with it’.” But the vision would require more than one person to bring it into existence and Lopez's role in bringing things together was to prove invaluable.
Together, Lopez and Murray selected eight geographic regions as the basis of the study's datasets: established market economies; the former socialist economies of Europe; Latin America and the Caribbean; China; India; the Middle Eastern crescent; other Asia and islands; and sub-Saharan Africa. Having analysed the available data as thoroughly as possible, the study's description of the world as it was in terms of mortality revealed some dramatic findings. In 1990, 98% of all deaths in children younger than 15 years were in the developing world. The probability of death between birth and 15 years ranged from 22·0% in sub-Saharan Africa to 1·1% in the established market economies. Probabilities of death between 15 and 60 years ranged from 7·2% for women in established market economies to 39·1% for men in sub-Saharan Africa, while injuries accounted for 10% of worldwide mortality, a statistic that the researchers noted was “often ignored”. As well as revealing striking patterns of mortality, the study also raised compelling epidemiological questions: why were suicide rates among women in China and South India so high? Why were women in India two to three times more likely to die from a burn, whereas in all other regions combined, men were more likely to die from burns? Why was suicide so common?
The GBD reported that five of the leading killers were communicable, perinatal, and nutritional disorders largely affecting children. A major finding of the study was the importance of non-communicable diseases in global and regional patterns of death: these were revealed to be major public heath challenges in all of the designated regions, with ischaemic heart disease being the leading cause of death in 1990 (6·3 million deaths). This finding ran counter to the accepting thinking at the time that so-called “diseases of affluence” must be higher in better-off populations, yet as Murray explains, “the big surprise was that once you had removed the effects of age structure, the risks of death in the developing world for non-communicable causes were actually higher than in the developed world”.
It would take another 10 years before Murray and Lopez were able to take their analysis down to the country level, but the 1997 papers set out a methodological template that was to establish the GBD as the accepted metric for the worldwide study of health: a formative moment in descriptive epidemiology. The quartet of papers attracted much attention and no little criticism within the wider scientific community. But any criticism was moderated by a broad recognition that seeking a reliable measure of disease, suffering, and death was a laudable aim. Indeed, the study was an affirmation of the researchers' wishes to, in Lopez's words, “change the world” and to develop a measurement framework that could not only improve but also change global health thinking by presenting a reasonably scientific view of the comparative order of risks. Thus for Murray and Lopez the main audience for the papers was a community of actors: academics, health professionals, politicians, and policy makers who could be persuaded by solid science to expedite health improvement policies for the world's poor. Although the 1997 paper contained no randomised evidence, its findings not only established a new kind of measurement metric that could be applied globally, but also influenced the cadence and direction of medical research. Pharmaceutical companies were understandably interested in what the big health problems of the future were going to be and as a consequence where they should be investing their R&D resources. This interest had not been anticipated by Murray and Lopez, but they recognised that the world had an appetite for knowing about future health needs and that GBD data could direct companies towards trial-able hypotheses.
Rarely has an 8-page article announced the inauguration of something as influential as the GBD. The sheer ubiquity and reliance upon GBD-generated data in the subsequent medical literature stands as testimony to its intellectual coherence and importance for the strategic planning of health systems. But back in 1997, Murray and Lopez suspected that it was touch and go whether The Lancet would publish their research as at the time they were fairly unknown, the innovative approach that they propounded was, as Murray describes, “totally out of left field”, and the journal had probably never published four articles from a single study before. With the support of the journal's wide reach and authority however, the GBD papers formed a milestone in the dissemination of knowledge and showed how science could engage with the global health community. Moreover, the first GBD study marked the beginning of a close relationship between The Lancet and the GBD based on a shared humanitarian ideal that global health measurement should inform policy making.

Further reading

  1. Cairns, J. Matters of life and death: perspectives of public health, molecular biology, cancer, and the prospects for the human race. Princeton University PressPrinceton, NJ1997
  2. Keating, C. Smoking kills: the revolutionary life of Richard Doll. Signal BooksOxford2009
  3. Lopez, AD and Hull, TH. A note on estimating the cause of death structure in high mortality populations. Pop Bull United Nat19831466–70
  4. Murray, CLJ and Lopez, AD. Mortality by cause for eight regions of the world: Global Burden of Disease Study. Lancet19973491269–1296
  5. Murray, CJL, Yang, G, and Qiao, X. Adult mortality: levels, patterns and causes. in: RGA Feachem, T Kjellstrom, CJL Murray, M Over, MA Phillips (Eds.) The health of adults in the developing worldOxford University PressNew York199223–112
  6. Smith, JN. Epic measures: one doctor seven billion patients. Harper CollinsNew York2003
  7. Williams, A. Calculating the global burden of disease: time for a strategic appraisal. Health Econ199981–8
  8. World Bank. World development report 1993: investing in health. Oxford University Press/World BankNew York1993


Friday, April 20, 2018

Spending on health 1995-2015

Summary

Background

Comparable estimates of health spending are crucial for the assessment of health systems and to optimally deploy health resources. The methods used to track health spending continue to evolve, but little is known about the distribution of spending across diseases. We developed improved estimates of health spending by source, including development assistance for health, and, for the first time, estimated HIV/AIDS spending on prevention and treatment and by source of funding, for 188 countries./.../

Thursday, April 19, 2018

US: Global Burden of Diseases 1990-2016

April 10, 2018

The State of US Health, 1990-2016Burden of Diseases, Injuries, and Risk Factors Among US States

The US Burden of Disease Collaborators
JAMA. 2018;319(14):1444-1472. doi:10.1001/jama.2018.0158

Key Points
Question  How have the levels and trends of burden of diseases, injuries, and risk factors in the United States changed from 1990 to 2016 by state?
Findings  This study, involving examination of 333 causes and 84 risk factors, demonstrated that health in the United States improved from 1990 to 2016, although the drivers of mortality and morbidity have changed in some states, with specific risk factors such as drug use disorders, high body mass index (BMI), and alcohol use disorders being associated with adverse outcomes. In 5 states, the probability of death between ages 20 and 55 years has increased more than 10% between 1990 and 2016.
Meaning  Differences in health outcomes and drivers of morbidity and mortality at the state level indicate the need for greater investment in preventive and medical care across the life course. The intersection of risk, mortality, and morbidity in particular geographic areas needs to be further explored at the state level./.../

Monday, April 16, 2018

CVD Burden US 1990-2016

April 11, 2018

The Burden of Cardiovascular Diseases Among US States, 1990-2016

Global Burden of Cardiovascular Diseases Collaboration
JAMA Cardiol. Published online April 11, 2018. doi:10.1001/jamacardio.2018.0385

Key Points
Question  How does the total burden of cardiovascular diseases vary across US states?
Findings  In this study using the Global Burden of Disease methodology, large disparities in total burden of CVD were found between US states despite marked improvements in CVD burden.
Meaning  These estimates can provide a benchmark for states working to focus on key risk factors, improve health care quality, and lower health care costs.
Abstract
Importance  Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously.