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Biomedical subjects

Christopher J L Murray

Publications and source records attributed to Christopher J L Murray.

At least 19 recordsLinked to original sources
PubMed2006

Estimation of potential global pandemic influenza mortality on the basis of vital registry data from the 1918-20 pandemic: a quantitative analysis.

BACKGROUND: The threat of an avian influenza pandemic is causing widespread public concern and health policy response, especially in high-income countries. Our aim was to use high-quality vital registration data gathered during the 1918-20 pandemic to estimate global mortality should such a pandemic occur today. METHODS: We identified all countries with high-quality vital registration data for the 1918-20 pandemic and used these data to calculate excess mortality. We developed ordinary least squares regression models that related excess mortality to per-head income and absolute latitude and used these models to estimate mortality had there been an influenza pandemic in 2004. FINDINGS: Excess mortality data show that, even in 1918-20, population mortality varied over 30-fold across countries. Per-head income explained a large fraction of this variation in mortality. Extrapolation of 1918-20 mortality rates to the worldwide population of 2004 indicates that an estimated 62 million people (10th-90th percentile range 51 million-81 million) would be killed by a similar influenza pandemic; 96% (95% CI 95-98) of these deaths would occur in the developing world. If this mortality were concentrated in a single year, it would increase global mortality by 114%. INTERPRETATION: This analysis of the empirical record of the 1918-20 pandemic provides a plausible upper bound on pandemic mortality. Most deaths will occur in poor countries--ie, in societies whose scarce health resources are already stretched by existing health priorities.

Age Distribution↗
PubMed2006

Assessing the effect of the 2001-06 Mexican health reform: an interim report card.

Since 2001, Mexico has been designing, legislating, and implementing a major health-system reform. A key component was the creation of Seguro Popular, which is intended to expand insurance coverage over 7 years to uninsured people, nearly half the total population at the start of 2001. The reform included five actions: legislation of entitlement per family affiliated which, with full implementation, will increase public spending on health by 0.8-1.0% of gross domestic product; creation of explicit benefits packages; allocation of monies to decentralised state ministries of health in proportion to number of families affiliated; division of federal resources flowing to states into separate funds for personal and non-personal health services; and creation of a fund to protect families against catastrophic health expenditures. Using the WHO health-systems framework, we used a wide range of datasets to assess the effect of this reform on different dimensions of the health system. Key findings include: affiliation is preferentially reaching the poor and the marginalised communities; federal non-social security expenditure in real per-head terms increased by 38% from 2000 to 2005; equity of public-health expenditure across states improved; Seguro Popular affiliates used more inpatient and outpatient services than uninsured people; effective coverage of 11 interventions has improved between 2000 and 2005-06; inequalities in effective coverage across states and wealth deciles has decreased over this period; catastrophic expenditures for Seguro Popular affiliates are lower than for uninsured people even though use of services has increased. We present some lessons for Mexico based on this interim evaluation and explore implications for other countries considering health reforms.

Delivery of Health Care↗
PubMed2006

Benchmarking of performance of Mexican states with effective coverage.

Benchmarking of the performance of states, provinces, or districts in a decentralised health system is important for fostering of accountability, monitoring of progress, identification of determinants of success and failure, and creation of a culture of evidence. The Mexican Ministry of Health has, since 2001, used a benchmarking approach based on the WHO concept of effective coverage of an intervention, which is defined as the proportion of potential health gain that could be delivered by the health system to that which is actually delivered. Using data collection systems, including state representative examination surveys, vital registration, and hospital discharge registries, we have monitored the delivery of 14 interventions for 2005-06. Overall effective coverage ranges from 54.0% in Chiapas, a poor state, to 65.1% in the Federal District. Effective coverage for maternal and child health interventions is substantially higher than that for interventions that target other health problems. Effective coverage for the lowest wealth quintile is 52% compared with 61% for the highest quintile. Effective coverage is closely related to public-health spending per head across states; this relation is stronger for interventions that are not related to maternal and child health than those for maternal and child health. Considerable variation also exists in effective coverage at similar amounts of spending. We discuss the implications of these issues for the further development of the Mexican health-information system. Benchmarking of performance by measuring effective coverage encourages decision-makers to focus on quality service provision, not only service availability. The effective coverage calculation is an important device for health-system stewardship. In adopting this approach, other countries should select interventions to be measured on the basis of the criteria of affordability, effect on population health, effect on health inequalities, and capacity to measure the effects of the intervention. The national institutions undertaking this benchmarking must have the mandate, skills, resources, and independence to succeed.

Adult↗
PubMed2006

Global and regional mortality from ischaemic heart disease and stroke attributable to higher-than-optimum blood glucose concentration: comparative risk assessment.

BACKGROUND: Cardiovascular mortality risk increases continuously with blood glucose, from concentrations well below conventional thresholds used to define diabetes. We aimed to quantify population-level effects of all higher-than-optimum concentrations of blood glucose on mortality from ischaemic heart disease and stroke worldwide. METHODS: We used population distribution of fasting plasma glucose to measure exposure to higher-than-optimum blood glucose. We collated exposure data in 52 countries from individual-level records in population health surveys, systematic reviews, and data provided by investigators. Relative risks for ischaemic heart disease and stroke mortality were from a meta-analysis of more than 200,000 participants in the Asia-Pacific region, with adjustment for other cardiovascular risk factors. RESULTS: In addition to 959,000 deaths directly assigned to diabetes, 1 490,000 deaths from ischaemic heart disease and 709,000 from stroke were attributable to high blood glucose, accounting for 21% and 13% of all deaths from these conditions. 1.8 million of these 2.2 million cardiovascular deaths (84%) were in low-and-middle-income countries (1,224,000 for ischaemic heart disease, 623,000 for stroke). 792,000 (53%) of deaths from ischaemic heart disease and 345,000 (49%) from stroke that were attributable to high blood glucose were in men. Largest numbers of deaths attributable to this risk factor from ischaemic heart disease were in low-and-middle-income countries of South Asia (548,000) and Europe and Central Asia (313,000), and from stroke in South Asia (215,000) and East Asia and Pacific (190,000). INTERPRETATION: Higher-than-optimum blood glucose is a leading cause of cardiovascular mortality in most world regions. Programmes for cardiovascular risk and diabetes management and control at the population level need to be more closely integrated.

Adult↗
PubMed2006

The burden of disease and injury in the United States 1996.

BACKGROUND: Burden of disease studies have been implemented in many countries using the Disability-Adjusted Life Year (DALY) to assess major health problems. Important objectives of the study were to quantify intra-country differentials in health outcomes and to place the United States situation in the international context. METHODS: We applied methods developed for the Global Burden of Disease (GBD) to data specific to the United States to compute Disability-Adjusted Life Years. Estimates are provided by age and gender for the general population of the United States and for each of the four official race groups: White; Black; American Indian or Alaskan Native; and Asian or Pacific Islander. Several adjustments of GBD methods were made: the inclusion of race; a revised list of causes; and a revised algorithm to allocate cardiovascular disease garbage codes to ischaemic heart disease. We compared the results of this analysis to international estimates published by the World Health Organization for developed and developing regions of the world. RESULTS: In the mid-1990s the leading sources of premature death and disability in the United States, as measured by DALYs, were: cardiovascular conditions, breast and lung cancers, depression, osteoarthritis, diabetes mellitus, and alcohol use and abuse. In addition, motor vehicle-related injuries and the HIV epidemic exacted a substantial toll on the health status of the US population, particularly among racial minorities. The major sources of death and disability in these latter populations were more similar to patterns of burden in developing rather than developed countries. CONCLUSION: Estimating DALYs specifically for the United States provides a comprehensive assessment of health problems for this country compared to what is available using mortality data alone.

Journal Article↗
PubMed2006

Effect of the Global Alliance for Vaccines and Immunisation on diphtheria, tetanus, and pertussis vaccine coverage: an independent assessment.

BACKGROUND: The Global Alliance for Vaccines and Immunisation (GAVI) was created in 1999 to enable even the poorest countries to provide vaccines to all children. We aimed to assess the effect of GAVI on combined diphtheria, tetanus, and pertussis vaccine (DTP3) coverage. METHODS: We examined the relation between DTP3 coverage for GAVI recipient countries from 1995 to 2004 and immunisation services support (ISS) and non-ISS expenditure per surviving child, controlling for income per head and local political governance variables. We analysed DTP3 coverage reported by governments and estimated by WHO/UNICEF. We also investigated the effect of GAVI on country reporting behaviour. RESULTS: In countries with DTP3 coverage of 65% or less at baseline, ISS spending per surviving child had a significant positive effect on DTP3 coverage (p=0.0005). This effect was not present in countries with DTP3 coverage of 65-80% or 80% or more at baseline. If ISS expenditure only is assessed, the estimated cost per additional child immunised in countries with baseline coverage of 65% or less is US$14 and if ISS and non-ISS expenditures are included the cost per child is almost $20. INTERPRETATION: The success of ISS funding in countries with baseline DTP3 coverage of 65% or less provides evidence that a public-private partnership can work to reverse a negative trend in global health and that performance-related disbursement can work in some settings. Because ISS funding seems to have no effect in countries with baseline coverage greater than 65%, GAVI should consider redistributing its resources to countries with the lowest coverage.

Child Health Services↗
PubMed2006

Absorptive capacity and disbursements by the Global Fund to Fight AIDS, Tuberculosis and Malaria: analysis of grant implementation.

BACKGROUND: The Global Fund to Fight AIDS, Tuberculosis and Malaria was launched in 2002 to attract and rapidly disburse money to fight these diseases. However, some commentators believe that poor countries cannot effectively use such resources to increase delivery of their health programmes-referred to as a lack of absorptive capacity. We aimed to investigate the major determinants of grant implementation in developing countries. METHODS: With information available publicly on the Global Fund's website, we did random-effects analysis to investigate the effect of grant characteristics, types of primary recipient and local fund agent, and country attributes on disbursements that were made between 2003 and 2005 (phase one of Global Fund payments). To check the robustness of findings, regression results from alternative estimation methods and model specifications were also tested. FINDINGS: Grant characteristics--such as size of commitment, lag time between signature and first disbursement, and funding round-had significant effects on grant implementation. Enhanced political stability was associated with high use of grants. Low-income countries, and those with less-developed health systems for a given level of income, were more likely to have a higher rate of grant implementation than nations with higher incomes or more-developed health systems. INTERPRETATION: The higher rate of grant implementation seen in countries with low income and low health-spending lends support to proponents of major increases in health assistance for the poorest countries and argues that focusing resources on low-income nations, particularly those with political stability, will not create difficulties of absorptive capacity. Our analysis was restricted to grant implementation, which is one part of the issue of absorptive capacity. In the future, assessment of the effect of Global Fund grants on intervention coverage will be vital.

Acquired Immunodeficiency Syndrome↗
PubMed2006

Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.

BACKGROUND: Our aim was to calculate the global burden of disease and risk factors for 2001, to examine regional trends from 1990 to 2001, and to provide a starting point for the analysis of the Disease Control Priorities Project (DCPP). METHODS: We calculated mortality, incidence, prevalence, and disability adjusted life years (DALYs) for 136 diseases and injuries, for seven income/geographic country groups. To assess trends, we re-estimated all-cause mortality for 1990 with the same methods as for 2001. We estimated mortality and disease burden attributable to 19 risk factors. FINDINGS: About 56 million people died in 2001. Of these, 10.6 million were children, 99% of whom lived in low-and-middle-income countries. More than half of child deaths in 2001 were attributable to acute respiratory infections, measles, diarrhoea, malaria, and HIV/AIDS. The ten leading diseases for global disease burden were perinatal conditions, lower respiratory infections, ischaemic heart disease, cerebrovascular disease, HIV/AIDS, diarrhoeal diseases, unipolar major depression, malaria, chronic obstructive pulmonary disease, and tuberculosis. There was a 20% reduction in global disease burden per head due to communicable, maternal, perinatal, and nutritional conditions between 1990 and 2001. Almost half the disease burden in low-and-middle-income countries is now from non-communicable diseases (disease burden per head in Sub-Saharan Africa and the low-and-middle-income countries of Europe and Central Asia increased between 1990 and 2001). Undernutrition remains the leading risk factor for health loss. An estimated 45% of global mortality and 36% of global disease burden are attributable to the joint hazardous effects of the 19 risk factors studied. Uncertainty in all-cause mortality estimates ranged from around 1% in high-income countries to 15-20% in Sub-Saharan Africa. Uncertainty was larger for mortality from specific diseases, and for incidence and prevalence of non-fatal outcomes. INTERPRETATION: Despite uncertainties about mortality and burden of disease estimates, our findings suggest that substantial gains in health have been achieved in most populations, countered by the HIV/AIDS epidemic in Sub-Saharan Africa and setbacks in adult mortality in countries of the former Soviet Union. Our results on major disease, injury, and risk factor causes of loss of health, together with information on the cost-effectiveness of interventions, can assist in accelerating progress towards better health and reducing the persistent differentials in health between poor and rich countries.

Adolescent↗
PubMed2006

Understanding the coronary heart disease versus total cardiovascular mortality paradox: a method to enhance the comparability of cardiovascular death statistics in the United States.

BACKGROUND: Coronary heart disease (CHD) represents the largest share of cardiovascular disease in the United States, but there are conspicuous discrepancies between CHD and total cardiovascular death rates across the states, possibly due in part to variations in physician assignment of causes of death. Our aim was to identify exogenous individual- and community-level predictors of cause-of-death assignment and variability and to use these predictors to improve the comparability of CHD mortality estimates across states. METHODS AND RESULTS: We performed a multinomial logistic regression analysis to estimate the effect of individual- and community-level factors on the likelihood of a death being certified as 1 of 3 ill-defined clusters (general atherosclerosis and unspecified heart disease, heart failure, and cardiac arrest) relative to being certified as CHD. The individual-level variables were the decedent's race, sex, age, education, and place of death; the community-level variable was the number of cardiologists per capita. We used the model to estimate state-level CHD rates that are standardized with regard to the levels of individual- and community-level determinants of cause-of-death assignment. Decedents who died in hospitals and in counties with more cardiologists per capita were more likely to be assigned to CHD than to the ill-defined categories, as were white males relative to other race-sex combinations. Adjustment for these factors resulted in substantially improved correlation between death rates for CHD and all cardiovascular causes. Increases in CHD death rates across states after adjustment for external predictors of cause-of-death assignment ranged from 2% (North Dakota) to 72% (Washington, DC); New York had a decrease (1%) in CHD death rates after adjustment. Nationally, CHD death rates increased 10% for males and 15% for females. The total number of deaths in 2001 attributed to CHD in patients over 30 years of age rose from 433,625 to 489,836 after adjustment. CONCLUSIONS: Greater presence of medical knowledge at the time of death, reflected by place of death and cardiologists per capita, reduces the use of the ill-defined cardiovascular clusters. Racial and gender effects on CHD assignment may reflect disparities in access to care and quality of care. By adjusting for differentials in these parameters, a comparable and consistent set of CHD mortality estimates can be created. The role of the exogenous predictors in validity and comparability of cause-of-death statistics should be confirmed in carefully designed validation autopsy studies.

Cardiovascular Diseases↗
PubMed2006

Trends in national and state-level obesity in the USA after correction for self-report bias: analysis of health surveys.

OBJECTIVES: To quantify population-level bias in self-reported weight and height as a function of age, sex, and the mode of self-report, and to estimate unbiased trends in national and state level obesity in the USA. DESIGN: Statistical analysis of repeated cross-sectional health examination surveys (the National Health and Nutrition Examination Survey [NHANES]) and health surveys (the Behavioral Risk Factor Surveillance System [BRFSS]) in the USA. SETTING: The 50 states of the USA and the District of Columbia. RESULTS: In the USA, on average, women underreported their weight, but men did not. Young and middle-aged (<65 years) adult men over-reported their height more than women of the same age. In older age groups, over-reporting of height was similar in men and women. Population-level bias in self-reported weight was larger in telephone interviews (BRFSS) than in-person interviews (NHANES). Except in older adults, height was over-reported more often in telephone interviews than in-person interviews. Using corrected weight and height in the year 2000, Mississippi (30%) and Texas (31%) [corrected] had the highest prevalence of obesity for men; Texas (37%), Louisiana (37%), Mississippi (37%), District of Columbia (37%), Alabama (37%), and South Carolina (36%) for women. CONCLUSIONS: Population-level bias in self-reported weight and height is larger in telephone interviews than in-person interviews. Telephone interviews are a low-cost method for regular, nationally- and sub-nationally representative monitoring of obesity. It is possible to obtain corrected estimates of trends and geographical distributions of obesity from telephone interviews by using systematic analysis which measure weight and height from an independent sample of the same population.

Adult↗
PubMed2006

Eight Americas: investigating mortality disparities across races, counties, and race-counties in the United States.

BACKGROUND: The gap between the highest and lowest life expectancies for race-county combinations in the United States is over 35 y. We divided the race-county combinations of the US population into eight distinct groups, referred to as the "eight Americas," to explore the causes of the disparities that can inform specific public health intervention policies and programs. METHODS AND FINDINGS: The eight Americas were defined based on race, location of the county of residence, population density, race-specific county-level per capita income, and cumulative homicide rate. Data sources for population and mortality figures were the Bureau of the Census and the National Center for Health Statistics. We estimated life expectancy, the risk of mortality from specific diseases, health insurance, and health-care utilization for the eight Americas. The life expectancy gap between the 3.4 million high-risk urban black males and the 5.6 million Asian females was 20.7 y in 2001. Within the sexes, the life expectancy gap between the best-off and the worst-off groups was 15.4 y for males (Asians versus high-risk urban blacks) and 12.8 y for females (Asians versus low-income southern rural blacks). Mortality disparities among the eight Americas were largest for young (15-44 y) and middle-aged (45-59 y) adults, especially for men. The disparities were caused primarily by a number of chronic diseases and injuries with well-established risk factors. Between 1982 and 2001, the ordering of life expectancy among the eight Americas and the absolute difference between the advantaged and disadvantaged groups remained largely unchanged. Self-reported health plan coverage was lowest for western Native Americans and low-income southern rural blacks. Crude self-reported health-care utilization, however, was slightly higher for the more disadvantaged populations. CONCLUSIONS: Disparities in mortality across the eight Americas, each consisting of millions or tens of millions of Americans, are enormous by all international standards. The observed disparities in life expectancy cannot be explained by race, income, or basic health-care access and utilization alone. Because policies aimed at reducing fundamental socioeconomic inequalities are currently practically absent in the US, health disparities will have to be at least partly addressed through public health strategies that reduce risk factors for chronic diseases and injuries.

Adolescent↗
PubMed2005

Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors.

INTRODUCTION: With respect to reducing mortality, advances in cancer treatment have not been as effective as those for other chronic diseases; effective screening methods are available for only a few cancers. Primary prevention through lifestyle and environmental interventions remains the main way to reduce the burden of cancers. In this report, we estimate mortality from 12 types of cancer attributable to nine risk factors in seven World Bank regions for 2001. METHODS: We analysed data from the Comparative Risk Assessment project and from new sources to assess exposure to risk factors and relative risk by age, sex, and region. We applied population attributable fractions for individual and multiple risk factors to site-specific cancer mortality from WHO. FINDINGS: Of the 7 million deaths from cancer worldwide in 2001, an estimated 2.43 million (35%) were attributable to nine potentially modifiable risk factors. Of these, 0.76 million deaths were in high-income countries and 1.67 million in low-and-middle-income nations. Among low-and-middle-income regions, Europe and Central Asia had the highest proportion (39%) of deaths from cancer attributable to the risk factors studied. 1.6 million of the deaths attributable to these risk factors were in men and 0.83 million in women. Smoking, alcohol use, and low fruit and vegetable intake were the leading risk factors for death from cancer worldwide and in low-and-middle-income countries. In high-income countries, smoking, alcohol use, and overweight and obesity were the most important causes of cancer. Sexual transmission of human papilloma virus is a leading risk factor for cervical cancer in women in low-and-middle-income countries. INTERPRETATION: Reduction of exposure to key behavioural and environmental risk factors would prevent a substantial proportion of deaths from cancer.

Adolescent↗
PubMed2005

Rethinking the "diseases of affluence" paradigm: global patterns of nutritional risks in relation to economic development.

BACKGROUND: Cardiovascular diseases and their nutritional risk factors--including overweight and obesity, elevated blood pressure, and cholesterol--are among the leading causes of global mortality and morbidity, and have been predicted to rise with economic development. METHODS AND FINDINGS: We examined age-standardized mean population levels of body mass index (BMI), systolic blood pressure, and total cholesterol in relation to national income, food share of household expenditure, and urbanization in a cross-country analysis. Data were from a total of over 100 countries and were obtained from systematic reviews of published literature, and from national and international health agencies. BMI and cholesterol increased rapidly in relation to national income, then flattened, and eventually declined. BMI increased most rapidly until an income of about ID 5,000 (international dollars) and peaked at about ID 12,500 for females and ID 17,000 for males. Cholesterol's point of inflection and peak were at higher income levels than those of BMI (about ID 8,000 and ID 18,000, respectively). There was an inverse relationship between BMI/cholesterol and the food share of household expenditure, and a positive relationship with proportion of population in urban areas. Mean population blood pressure was not correlated or only weakly correlated with the economic factors considered, or with cholesterol and BMI. CONCLUSIONS: When considered together with evidence on shifts in income-risk relationships within developed countries, the results indicate that cardiovascular disease risks are expected to systematically shift to low-income and middle-income countries and, together with the persistent burden of infectious diseases, further increase global health inequalities. Preventing obesity should be a priority from early stages of economic development, accompanied by population-level and personal interventions for blood pressure and cholesterol.

Adult↗
PubMed2005

Assessing the burden of disease in the United States using disability-adjusted life years.

OBJECTIVES: Burden of disease studies have been implemented in many countries using the disability-adjusted life year (DALY) to assess major health problems. METHODS: We applied methods developed by the World Bank and World Health Organization (WHO) to data specific to the United States to compute DALYs. We compared the results of this analysis to international estimates published by WHO for developed and developing regions of the world. RESULTS: In the mid-1990s, the leading sources of premature death and disability in the United States, as measured by DALYs, were cardiovascular conditions, breast and lung cancers, depression, osteoarthritis, diabetes mellitus, and alcohol use and abuse. In addition, motor vehicle-related injuries and the HIV epidemic exacted a substantial toll on the health status of the U.S. population, particularly among racial/ethnic minorities. The major sources of death and disability in these latter populations were more similar to patterns of burden in developing rather than developed countries. CONCLUSIONS: This analysis provides the first detailed, comprehensive estimates using DALYs of the fatal and nonfatal conditions that exact large health burdens in the United States.

Cost of Illness↗
PubMed2005

Eight Americas: new perspectives on U.S. health disparities.

The Eight Americas Study divides the U.S. population into eight distinct groups with different epidemiologic patterns and mortality experience. The Eight Americas are Asians (America 1), below-median-income whites living in the Northland (America 2), middle America (America 3), poor whites living in Appalachia and the Mississippi Valley (America 4), Native Americans living on reservations in the West (America 5), black middle-America (America 6), poor blacks living in the rural South (America 7), and blacks living in high-risk urban environments (America 8). Life expectancy for males in America 8 is 21 years lower than life expectancy for females in America 1. For males, the gap between America 1 and America 8, 16.1 years, is as large as the gap between Iceland with the highest male life expectancy in the world and Bangladesh. Even in Americas 5, 6, 7, and 8, U.S. child mortality is in the middle of the range defined by the Organization of Economic Cooperation and Development (OECD) countries. For young and middle-aged males and females, however, mortality experience in the disadvantaged Americas is up to two times worse than the worst OECD country. The enormous excess of young and middle-aged mortality is largely due to chronic disease death. Based on the World Health Organization Comparative Risk Assessment project, we expect the major risks in the United States to be tobacco, alcohol, obesity, blood pressure, and cholesterol. Risk factor analysis using Behavioral Risk Factor Surveillance System data for the Eight Americas suggests that the pattern for tobacco, alcohol, and obesity is distinct for each America. Currently available data in the public domain do not provide an adequate basis to assess levels of blood pressure and cholesterol in the Eight Americas. To tackle disparities in the United States, public health will need to increase its focus on chronic diseases in young and middle-aged Americans. In particular, if blood pressure and cholesterol are confirmed as major contributors to current mortality patterns, innovative strategies such as the Polypill and unique individual and population approaches need to be explored.

Adolescent↗
PubMed2005

Access, utilization, quality, and effective coverage: an integrated conceptual framework and measurement strategy.

Health systems can primarily improve the health of individuals and populations by delivering high-quality interventions to those who may benefit from them. We propose a concept of effective coverage as the probability that individuals will receive health gain from an intervention if they need it. Understanding the extent to which health systems are delivering key interventions to those who will benefit from them and the factors that explain gaps in delivery are a critical input to decision-making at the local, national and global levels. We develop an integrated conceptual framework for monitoring and analyzing the delivery of high-quality interventions to those who need them. This framework can help clarify the inter-relationships between notions of access, demand for care, utilization, and coverage on the one hand and highlight the requirements for health information systems that can sustain this type of analysis. We discuss measurement strategies and demonstrate the concept by means of a simple simulation model.

Asthma↗
PubMed2004

Global patterns of healthy life expectancy in the year 2002.

BACKGROUND: Healthy life expectancy--sometimes called health-adjusted life expectancy (HALE)--is a form of health expectancy indicator that extends measures of life expectancy to account for the distribution of health states in the population. The World Health Organization reports on healthy life expectancy for 192 WHO Member States. This paper describes variation in average levels of population health across these countries and by sex for the year 2002. METHODS: Mortality was analysed for 192 countries and disability from 135 causes assessed for 17 regions of the world. Health surveys in 61 countries were analyzed using new methods to improve the comparability of self-report data. RESULTS: Healthy life expectancy at birth ranged from 40 years for males in Africa to over 70 years for females in developed countries in 2002. The equivalent "lost" healthy years ranged from 15% of total life expectancy at birth in Africa to 8-9% in developed countries. CONCLUSION: People living in poor countries not only face lower life expectancies than those in richer countries but also live a higher proportion of their lives in poor health.

Cross-Cultural Comparison↗