Resources Repository
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ReportPublication 2017DCP3: Improving Health and Reducing Poverty
This report from the World Bank is the ninth and final volume of the Disease …
This report from the World Bank is the ninth and final volume of the Disease Control Priorities, Third Edition (DCP3) series. It provides an overview of the findings and methods explored in the first eight volumes, placing them within a framework that identifies an efficient pathway toward essential universal health coverage through the implementation of 21 essential packages that include health interventions and fiscal and intersectoral policies. The Disease Control Priorities Network (DCP) promotes and…
Evidence Synthesis | Costing Methods | Social Determinants | Chronic Disease/Risk | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Mental Health | Injuries/Accidents | Health Systems | Policy/Regulation | Global Governance | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Global -
ReportPublication 2017DCP3: Cardiovascular, Respiratory, and Related Disorders
This report from the World Bank is the fifth volume of the Disease Control Priorities, …
This report from the World Bank is the fifth volume of the Disease Control Priorities, Third Edition (DCP3) series. It addresses the disease burden of cardiovascular, respiratory, and related disorders (CVRDs), which account for more than half of global adult deaths, mostly in low- and middle-income countries. While CVRDs are mostly preventable or can be treated to reduce morbidity, such interventions are costly and require greater capacity to detect and treat early. When combined with…
Evidence Synthesis | Costing Methods | Social Determinants | Chronic Disease/Risk | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Global Governance | Climate/Environment | Health/Medicine | Global -
ArticlePublication 2017Cost-Effectiveness of Subsidizing Fruit and Vegetable through SNAP
A diet high in fruits and vegetables is associated with reduced risk of chronic disease …
A diet high in fruits and vegetables is associated with reduced risk of chronic disease - to incentivize consumption among low-income households one proposal is to make them more affordable through the Supplemental Nutrition Assistance Program (SNAP). This cost effectiveness analysis adopts a societal perspective to estimate the value of subsidizing fruit and vegetable (FV) purchases among the one in seven Americans who participate in SNAP. A stochastic microsimulation model of obesity, type 2 diabetes, myocardial infarction,…
Microsimulation | Mathematical Models | Social Determinants | Chronic Disease/Risk | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Microsimulation | Costing Methods | Environmental Health | Social Determinants | Priority Setting/Ethics | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Economics/Finance | Energy/Engineering | Health/Medicine | Science/Technology | Asia & Pacific -
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…
Evidence Synthesis | Costing Methods | Social Determinants | Chronic Disease/Risk | Health Outcomes | Test Performance | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Mental Health | Injuries/Accidents | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | North America -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Evidence Synthesis | Mathematical Models | Social Determinants | Chronic Disease/Risk | Preferences/Values | Decision Analysis | Cost-Effectiveness Analysis | Mental Health | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Clinical Care | Calibration/Validation | Health Systems | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Evidence Synthesis | Microsimulation | Chronic Disease/Risk | Clinical Care | Preferences/Values | Health Outcomes | Test Performance | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | Science/Technology | North America -
ReviewPublication 2015Decision-Analytic Modeling Studies of Multiple Myeloma
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma …
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma and is based on a systematic literature search to identify studies evaluating treatment strategies using mathematical decision-analytic models. Studies were included that assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Eleven decision-analytic modeling studies met inclusion criteria. Five different modeling approaches were adopted: decision-tree modeling, Markov state-transition modeling, discrete event simulation, partitioned-survival analysis and…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Chronic Disease/Risk | Health/Medicine