IHME Data
Download datasets created by IHME for our research projects and publications. You can learn more about our research and publications on our website
Data made available for download on IHME Websites can be used, shared, modified or built upon by non-commercial users in accordance with the IHME FREE-OF-CHARGE NON-COMMERCIAL USER AGREEMENT. For more information (and inquiries about commercial use), visit IHME Terms and Conditions.
These IHME results are from the paper, "Public financing of health in developing countries: a cross-national systematic analysis," published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
This database includes development assistance for health (DAH) estimates based on data project databases, financial statements, annual reports, IRS 990s, and correspondences with agencies.
It enables estimation of the DAH envelope (disbursements and expenditures), trends in by global health institutions, and trends in DAH by source of income.
Graphing and additional use information are available in the "IHME_DAH_DATABASE_1990_2008_CODE.txt" file.
2011 update available here.
IHME results, published in November 2010, provide a global assessment of trends in development assistance for health (DAH) from 1990 to 2008 and preliminary estimates for 2009 and 2010. The report, Financing Global Health 2010: Development Assistance and Country Spending in Economic Uncertainty, compiles contributions by all significant public and private channels of development assistance for improving health outcomes and strengthening health systems in low- and middle-income countries.
This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Uganda. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Uganda FCE Household Survey was conducted in 19 districts purposely selected to overlap with districts where the FCE Health Facility Survey was conducted in 2014-2015. The initial sample size for the household survey was 3,990 households. Data were collected from heads of households and mothers and/or primary caregivers of children ages 0-59 months. Topics covered include household characteristics, immunization knowledge, birth histories of mothers and child caretakers, pregnancy and postnatal care, child feeding practices, current health and vaccine status of the child, and vaccination experience at health facilities. In a sub-sample of children, a small amount of blood was collected in order to measure vaccine presence.
This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Uganda. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Uganda FCE was conducted in 19 districts purposely selected to overlap with those where a baseline facility survey for the Access, Bottlenecks, Costs, and Equity (ABCE) Project in Uganda was performed. The districts provide a geographically and demographically representative sample of Uganda’s health system. For the FCE Health Facility Survey, data on financing, staffing, facility procedures and guidelines, vaccine stocks, and supply delivery (including cold chain temperature measurements) were collected from a representative sample of 177 health facilities. Data were collected through interviews of health providers, direct observation of facility areas, and assisted observation of immunization sessions.
IHME research produced estimates for age-standardized mortality rates by county from chronic respiratory diseases. The estimates were generated using de-identified death records from the National Center for Health Statistics (NCHS); population counts from the U.S. Census Bureau, NCHS, and the Human Mortality Database; the cause list from the Global Burden of Disease Study (GBD); and the application of small area estimation models. This dataset provides estimates for age-standardized mortality rates by disease type and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in rates for each location during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each disease type in 2014. Study results were published in JAMA in September 2017 in "Trends and patterns of differences in chronic respiratory disease mortality among US counties, 1980–2014."
IHME research produced estimates for life expectancy and cause-specific mortality at the census tract level for King County, Washington, for 1990-2014. The estimates were generated using death registration data from the Center for Health Statistics, Washington State Department of Health; population counts by age group, sex, and census tract from the Washington State Office of Financial Management; the cause list developed for the Global Burden of Disease Study 2015; and the application of small area estimation models. This dataset, downloadable via the "Files" tab above, provides estimates for life expectancy at birth, mortality rates, and years of life lost rates for 152 causes of death by age and sex for 397 census tracts. Results of the study were published in The Lancet Public Health in September 2017 in "Variation in life expectancy and mortality by cause among neighbourhoods in King County, WA, USA, 1990–2014: a census tract-level analysis for the Global Burden of Disease Study 2015."
This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Bangladesh. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Bangladesh FCE focused on selected locations stratified by urban/rural and low/high immunization coverage performance areas. It was conducted in one rural district and one city corporation each in the divisions of Sylhet and Rajshahi. This survey collected information from patient exit interviews conducted with caregivers of children 9 months to 15 years of age immediately following their measles-rubella vaccination. Topics covered include sociodemographic characteristics of the caretaker; patient experiences at the facility; patient opinions of the experience; and knowledge, attitudes and practice regarding measles and rubella immunizations, as well as knowledge of measles and rubella symptoms, prevention, and treatment.
This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Bangladesh. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Bangladesh FCE focused on selected locations stratified by urban/rural and low/high immunization coverage performance areas. It was conducted in one rural district and one city corporation each in the divisions of Sylhet and Rajshahi. The health facility survey collected data from facilities administering vaccinations as part of a measles-rubella vaccine campaign. Data on vaccine campaign proceedings were collected through interviews of health providers and the direct observation of child vaccinations. Topics covered include general characteristics of the location, campaign logistics and functionality, supply chain and record keeping.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
This survey was conducted as part of the Gavi Full Country Evaluation (FCE) project in Bangladesh. Gavi FCEs are prospective studies covering the period 2013-2016 that aim to assess the barriers to and drivers of immunization program performance. The Bangladesh FCE focused on selected locations stratified by urban/rural and low/high immunization coverage performance areas. It was conducted in one rural district and one city corporation each in the divisions of Sylhet and Rajshahi. This survey collected information at the household level prior to the implementation of a measles-rubella vaccine campaign. It covered sociodemographic characteristics; knowledge, treatment and management of measles and rubella; vaccination status of children (including immunization card documentation); and access to vaccination services and experience at health facilities. In a sub-sample of children, a small amount of blood was collected in order to measure vaccine presence. In total, 1,735 households were sampled.
Global Burden of Disease Study 2015 (GBD 2015) estimates were used in an analysis of national levels of personal healthcare access and quality based on 32 causes of disease and injury considered amenable to healthcare over time. This dataset includes the following global, regional, and national or territory-level estimates for 1990-2015: age-standardized risk-standardized death rates for 32 causes considered amenable to healthcare; the Healthcare Quality and Access (HAQ) Index and individual indices for each of the 32 causes on a scale of 0 to 100; and a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI).
Results were published in The Lancet in May 2017 in "Healthcare Access and Quality Index based on mortality from causes amenable to personal healthcare in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015."
IHME research used de-identified death records from the National Center for Health Statistics (NCHS) and population counts from the U.S. Census Bureau, NCHS, and the Human Mortality Database and small area estimation models in order to estimate county-level mortality rates from all cardiovascular diseases (CVD), including ischemic heart disease, cerebrovascular disease, ischemic stroke, and other types. This dataset provides estimates for age-standardized mortality rates by CVD type and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in rates for each location during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each CVD type in 2014 and the top 10 causes of death by CVD type for each county. Study results were published in JAMA in May 2017 in "Trends and patterns of geographic variations in cardiovascular mortality among US counties, 1980–2014."
Research by IHME used small area estimation methods to produce annual life tables and calculate age-specific mortality risk at the county level for the United States. De-identified death records from the National Center for Health Statistics (NCHS) and population counts from the census bureau, NCHS, and the Human Mortality Database were used in the analysis. This dataset provides estimates for life expectancy at birth and mortality risk for under-5 and 20-year age groups at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in life expectancy and mortality risk for each location during this period. Also included are data on the 30 counties with the highest and lowest life expectancy and mortality risks. Results of the study were published in JAMA in May 2017 in "Inequalities in life expectancy among US counties, 1980–2014."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. These location hierarchies files contain the GBD 2015 reporting hierarchy and a number of other hierarchies, which will allow GBD 2015 results users to aggregate results by location in various ways (by GBD regions, World Bank regions, OECD countries, European Union countries, etc.).
IHME research used de-identified death records from the National Center for Health Statistics (NCHS) and population counts from the U.S. Census Bureau, NCHS, and the Human Mortality Database and small area estimation models in order to estimate county-level mortality rates from 29 cancers. This dataset provides estimates for age-standardized mortality rates by cancer type and sex at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014, as well as the changes in rates for each location during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each cancer type in 2014 and the top 10 causes of death by cancer type for each county. Study results were published in JAMA in January 2017 in "Trends and patterns of disparities in cancer mortality among US counties, 1980-2014."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
As part of this study, the health burden associated with systolic blood pressure (SBP) ≥ 110-115 mm HG and SBP ≥ 140 mm HG (hypertension) was analyzed. Estimates for deaths, YLLs, YLDs, and DALYs attributable to SBP ≥ 110-115 mm HG (high systolic blood pressure) by age and sex for 21 regions, 195 countries and territories and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include deaths and DALYs attributable to hypertension and the web tables published in JAMA in January 2017 in "Global Burden of Hypertension and Systolic Blood Pressure of at least 110 to 115 mm HG, 1990-2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability, years of life lost (YLLs), prevalence, and incidence for 32 cancer groups by age and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in December 2016 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 32 Cancer Groups, 1990-2015: A Systematic Analysis for the Global Burden of Disease Study."
IHME research applied a novel methodology to death registration data from the National Vital Statistics System (NVSS) in order to estimate annual county-level mortality rates for 21 mutually exclusive causes of death. This dataset provides estimates for cause-specific age-standardized mortality rates at the county level for each state, the District of Columbia, and the United States as a whole for 1980-2014 (quinquennial), as well as the changes in rates during this period. Also included are data on the 10 counties with the highest and lowest mortality rates for each cause in 2014. Study results were published in JAMA in December 2016 in "US county-level trends in mortality rates for major causes of death, 1980–2014."
IHME research, published in Diabetes Care in August 2016, "Diagnosed and Undiagnosed Diabetes Prevalence by County in the U.S., 1999–2012," produced estimates by county and sex for the prevalence of diagnosed, undiagnosed, and total diabetes, as well as rates of diagnosis and effective treatment for 1999-2012. The dataset contains estimates for all states and counties, the District of Columbia, and the United States as a whole.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
This reference life table is used in GBD to calculate Years of Life Lost (YLLs). It was constructed based on the lowest estimated age-specific mortality rates from all locations with populations over 5 million in the 2013 iteration of GBD. YLLs are computed by multiplying the number of estimated deaths by the reference life table’s life expectancy at age of death. The table includes estimates for the probability of death within an age range, the proportion of the hypothetical cohort still alive at age x, and life expectancy at age x for ages 0 to 110+ at five-year intervals.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. These tables contain International Classification of Diseases (ICD) codes, for both ICD-9 and ICD-10, mapped to GBD 2015 causes of death and nonfatal causes.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a summary measure of a geography's socio-demographic development. It is based on average income per person, educational attainment, and total fertility rate (TFR). SDI contains an interpretable scale: zero represents the lowest income per capita, lowest educational attainment, and highest TFR observed across all GBD geographies from 1980 to 2015, and one represents the highest income per capita, highest educational attainment, and lowest TFR. This dataset provides tables with SDI values for all estimated GBD 2015 geographies for 1980–2015 and groupings by geography based on 2015 values.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in all models of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for 296 covariates for 195 countries and territories, plus 4 United Kingdom subnational units for 1980-2015 used in the GBD 2015 study. Data files are available to download at this location. Please note that data for England is not included for some covariates.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Disability weights, which represent the magnitude of health loss associated with specific health outcomes, are used to calculate years lived with disability for these outcomes in a given population. The weights are measured on a scale from 0 to 1, where 0 equals a state of full health and 1 equals death. This dataset provides the disability weights for the 235 unique health states used to estimate nonfatal health outcomes for the GBD 2015 study. These data were published in The Lancet in October 2016 in "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset provides population estimates for 21 GBD regions, 195 countries and territories, and 4 United Kingdom subnational units by age and sex for 1970-2015. Data sources used to produce these estimates include World Population Prospects: 2015 Revision, from the United Nations Population Division, and the WHO Human Mortality Database.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 195 countries and territories. Estimates for HIV/AIDS incidence, prevalence, and mortality by country, age, and sex for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available for download in this record include select tables published in The Lancet in July 2016 in "Global, regional, and national incidence, prevalence, and mortality for HIV, 1980-2015: estimates from the Global Burden of Disease Study 2015." The tables include estimates of antiretroviral therapy (ART) coverage for 2015 and HIV-specific mortality for patients on ART.
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
This dataset measures progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two-thirds from 1990-2015. Estimates for neonatal, infant, and under-5 mortality for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include tables published The Lancet in October 2016 in "Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980‐2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Estimates for deaths, YLLs, YLDs, and DALYs attributable to 79 risk factors by age, sex, and location and estimates for summary exposure values (SEVs) for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record include select tables, including relative risks, published in The Lancet in October 2016 in "Global, regional and national comparative risk assessment of 79 behavioral, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and estimates for healthy life expectancy (HALE) by age and sex for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Study results were published in The Lancet in October 2016 in "Global, regional, and national disability-adjusted life years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Estimates for incidence, prevalence, and years lived with disability (YLDs) by cause, age, and sex for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Study results were published in The Lancet in October 2016 in "Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level.
Life expectancy estimates by age and sex and estimates for deaths and years of life lost (YLLs) by cause, age, and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 are available from the GBD Results Tool. Files available in this record include select tables published in The Lancet in October 2016 in "Global, regional, and national life expectancy, all-cause and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015."
The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, and national level from 1990 to 2015.
The United Nations General Assembly established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. This dataset provides estimates, based on the GBD 2015 study, for 33 health-related SDG indicators for 188 countries from 1990 to 2015. These 33 individual health-related SDG indicators were used to construct the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
The results were published in The Lancet in September 2016 in "Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015."
These data were collected as part of the Improving Methods to Measure Comparable Mortality by Cause project, funded by Australia's National Health and Medical Research Council (NHMRC). Verbal autopsy (VA) interviews were collected using the Population Health Metrics Research Consortium (PHMRC) shortened questionnaire on electronic tablets. Data was was collected from three sites: Matlab, Bangladesh; Kalutara, Sri Lanka; and Bohol, Philippines. The datasets correspond to the closed response and open response sections for each of the three sites.
These data were collected as part of the Improving Methods to Measure Comparable Mortality by Cause project, funded by Australia's National Health and Medical Research Council (NHMRC). The four datasets correspond to two different verbal autopsy (VA) instruments each used at two different sites: Matlab, Bangladesh, and Bohol, Philippines. The datasets for the paper instrument include when the interview was conducted, when it was checked by a supervisor and when it was computerized. The datasets for the tablets include the interview times recorded by the electronic tablet device used to collect the data.
Using Access, Bottlenecks, Costs, and Equity (ABCE) Project data from Kenya, Uganda, and Zambia, Institute for Health Metrics and Evaluation (IHME) researchers conducted the first nationally representative assessment of technical efficiency in African health facilities and predicted the potential scale-up of antiretroviral therapy (ART) services through improvements in technical efficiency. The attached archive contains code and materials used for the following citation:
Di Giorgio L, Moses MW, Fullman N, Wollum A, Conner RO, Achan J, Achoki T, Bannon KA, Burstein R, Dansereau E, DeCenso B, Delwiche K, Duber HC, Gakidou E, Gasasira A, Haakenstad A, Hanlon M, Ikilezi G, Kisia C, Levine AJ, Maboshe M, Maisye F, Masters SH, Mphuka C, Njuguna P, Odeny TA, Okiro EA, Roberts DA, Murray CJL, Flaxman AD. The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia. BMC Medicine. 2016 20 July. doi: 10.1186/s12916-016-0653-z
As part of a study to analyze the measurement of health service provision in low- and middle-income countries (LMICs), IHME researchers developed a simulation environment which reproduces the characteristics of health service production in LMICs, and evaluated the performance of Data Envelopment Analysis (DEA) and Stochastic Distance Function (SDF) for assessing efficiency. The attached archive contains the code used in this study, which is described in the following publication:
Di Giorgio L, Flaxman AD, Moses MW, Fullman N, Hanlon M, Conner RO, Wollum A, Murray CJL. Efficiency of Health Care Production in Low-Resource Settings: A Monte-Carlo Simulation to Compare the Performance of Data Envelopment Analysis, Stochastic Distance Functions, and an Ensemble Model. PLoS ONE 11(1): e0147261. doi:10.1371/journal.pone.0147261.
This dataset contains estimates of maternal and child health (MCH) indicators in Uganda at the regional and national levels. These estimates were produced by the Institute for Health Metrics and Evaluation (IHME) and the Infectious Diseases Research Collaboration (IDRC) by using multiple data sources and applying complex modeling approaches. Trend estimates in this dataset include under-5 mortality, indicators of childhood nutrition (prevalence of underweight and stunting among children under 5), and a range of MCH interventions including malaria control, childhood immunizations, and other key MCH interventions such as antenatal care, skilled birth attendance, and exclusive breastfeeding. Regional estimates for a number of socio-economic indicators, including women’s educational attainment and household characteristics, are also available.
The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download from this record include the tables published in The Lancet in September 2015 in "Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include estimates of deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs), as well as DALYs attributable to risk factors by sex, in England for 1990 and 2013.
Data files containing the full results set are available for download from this location.
The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in September 2015 in "Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include population attributable fractions (PAFs) for 2013 and estimates of deaths and disability-adjusted life-years (DALYs) for 1990 and 2013 attributable to each risk factor. Estimates of deaths and DALYs for 1990 and 2013 attributable to each risk-outcome pair can be found in the web tables.
The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in August 2015 in "Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition." These tables include estimates of DALYs by country and cause and HALE by country and sex for 1990, 2005, and 2013.
This dataset contains estimates of maternal and child health (MCH) indicators in Nigeria at the state and national levels. These estimates were produced by the Institute for Health Metrics and Evaluation (IHME) by using multiple data sources and applying complex modeling approaches. Trend estimates in this dataset include under-5 mortality, indicators of childhood nutrition (prevalence of underweight, stunting, and wasting among children under 5), and a range of MCH interventions including malaria control, childhood immunizations, and other key MCH interventions such as skilled birth attendance, exclusive breastfeeding, and prevalence of modern contraceptive use.
The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in JAMA Oncology in May 2015 in "The Global Burden of Cancer 2013," and additional tables available from IHME's website. These tables include estimates of cancer incidence, mortality, and disability-adjusted life years (DALYs) globally and by country in 1990 and 2013.
The Global Burden of Disease Study 2013 (GBD 2013), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors globally, for 21 regions, and for 188 countries. The files available for download include the tables published in The Lancet in June 2015 in "Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013." These tables include estimates of incidence, prevalence, and years lived with disability (YLDs) by country, age, cause, and sequelae in 1990 and 2013.
These are IHME results data from a global analysis of educational attainment spanning the last 50 years. These data are an update to earlier estimates (Educational Attainment and Child Mortality Estimates by Country 1970-2009) and inform the policy report "A Hand Up: Global Progress Towards Universal Education," as well as the Social Determinants of Health Visualization, which is supported by the Center for Health Trends and Forecasts at IHME.
This data file provides estimates of average years of educational attainment per capita for people over the age of 15 for the years 1970-2015 by year, sex, and age group for 188 countries, 21 GBD regions, 7 GBD super regions, and the global aggregate. Age-standardized and population-weighted estimates are included for females 15-44 and for both sexes for the age group 25+.
The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Zambia are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.
The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Uganda are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.
The Access, Bottlenecks, Costs, and Equity (ABCE) project is a multipronged and multicountry research collaboration focused on understanding what drives and hinders health service provision. Three datasets resulting from the ABCE project in Kenya are available for download: results of a nationally representative facility survey which gathered information on services offered, expenditure, revenue, personnel by category, and other variables related to facility operations; data collected in patient exit interviews conducted after patients visited facilities in the ABCE sample; and information extracted from the charts of HIV-positive patients receiving antiretroviral therapy (ART). Clinical chart extraction data and patient exit interview data can be linked to facility-level information from the ABCE Facility Survey.
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