Resources Repository
-
DataWeb Portal 2024Healthcare Cost and Utilization Project (HCUP)
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in …
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in the United States, including information on in-patient care, ambulatory care, and emergency department visits. HCUP enables researchers, insurers, policymakers and others to study health care delivery and patient outcomes over time, and at the national, regional, State, and community levels. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form of online, searchable…
Chronic Disease/Risk | Mental Health | Infectious Diseases | Costing Methods | Health Outcomes | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Technology Assessment | Maternal/Reproductive Health | Child/Nutrition | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | North America -
OrganizationWeb Portal 2024Agency for Healthcare Research and Quality (AHRQ)
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for …
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for research on health care quality, costs, outcomes and patient safety. AHRQ is the health services research arm of the U.S. Department of Health and Human Services (HHS), complementing the biomedical research mission of its sister agency, the National Institutes of Health. The agency is home to research centers that specialize in major areas of health care research, including: clinical practice…
Chronic Disease/Risk | Mental Health | Infectious Diseases | Costing Methods | Health Outcomes | Test Performance | Decision Analysis | Cost-Effectiveness Analysis | Technology Assessment | Maternal/Reproductive Health | Child/Nutrition | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | North America -
DataWeb Portal 2024CEA Registry
The CEA Registry is a comprehensive database containing detailed information on more than 14,500 standardized …
The CEA Registry is a comprehensive database containing detailed information on more than 14,500 standardized cost-effectiveness ratios and more than 21,900 utility weights published in over 5,600 peer-reviewed cost-utility analyses. It details studies published from 1976 through 2016 and is regularly updated. These studies estimate health benefits, in terms of quality-adjusted life-years (QALYs), and incremental costs for a wide range of health and medical interventions. Open access is provided for basic search functions against the…
Chronic Disease/Risk | Mental Health | Infectious Diseases | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Maternal/Reproductive Health | Child/Nutrition | Injuries/Accidents | Health Systems | Health/Medicine | Global -
ArticlePublication 2016Challenges of Prioritization
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and …
Cost-effectiveness analysis has traditionally been applied primarily to very specific interventions, such as drugs and diagnostics; in addition, the evidence base drawn on for evaluating such interventions is relatively good, given the medical research industry surrounding their testing. However, with increasing success in controlling infectious diseases, many of the health challenges facing countries concern broad threats to health with multiple causes, such as obesity, where the relationship between policy action and health benefit is not…
Chronic Disease/Risk | Mental Health | Infectious Diseases | Priority Setting/Ethics | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2024Hepatitis C Elimination in Rwanda: Progress, Feasibility, Economic Evaluation
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis …
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis C virus (HCV) and identifies strategies to achieve World Health Organization (WHO) elimination goals by 2030. Employing a microsimulation model spanning 2015 to 2050, the analysis assesses HCV epidemic trends, prevalence, mortality, and total care costs under various scenarios. Results show that between 2018 and 2022, over 7 million people were screened and 60,000 treated, projecting Rwanda's potential achievement of…
Chronic Disease/Risk | Infectious Diseases | Microsimulation | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2024Disparities in TB Incidence by Race & Ethnicity Among the U.S.-Born Population in the U.S., 2011 to 2021
This study aims to assess trends in racial/ethnic disparities in tuberculosis (TB) incidence among U.S.-born …
This study aims to assess trends in racial/ethnic disparities in tuberculosis (TB) incidence among U.S.-born individuals from 2011 to 2021. Using national TB registry data, time-series analysis was conducted, stratifying by race/ethnicity and adjusting for age, year, and state of residence. Results indicate persistent disparities, with incidence rate ratios as high as 14.2 for American Indian or Alaska Native (AI/AN) females compared to non-Hispanic White individuals. Relative disparities were more pronounced for females, younger individuals,…
Chronic Disease/Risk | Infectious Diseases | Health/Medicine | North America -
ArticlePublication 2022Comparative Health Systems Analysis of Differences in Catastrophic Health Expenditure
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications …
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications for health system performance in the area of financial risk protection, as measured by catastrophic health expenditure (CHE). This article compares non-communicable diseases catastrophic health expenditure to the CHE cases caused by communicable diseases across health systems to examine whether: (1) disease burden and catastrophic health expenditure are linked, (2) Catastrophic health expenditures secondary to NCDs disproportionately affect wealthier households and (3) whether the drivers…
Chronic Disease/Risk | Infectious Diseases | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Global -
ArticlePublication 2021Impact of COVID-19 on Cancer Diagnosis and Survival in Chile
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in …
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in Chile, using a microsimulation model of five cancers: breast, cervix, colorectal, prostate, and stomach. The model simulates cancer incidence and progression, as well as stage-specific cancer detection and survival probabilities, and was calibrated to empirical data on monthly detected cases, stage at diagnosis, and 5-year net survival. The analysis accounted for the impact of COVID-19 on month-by-month excess mortality and…
Chronic Disease/Risk | Infectious Diseases | Health Outcomes | Microsimulation | Calibration/Validation | Latin America & Caribbean -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Chronic Disease/Risk | Infectious Diseases | Mathematical Models | Health/Medicine