Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Preferences/Values | Probability/Bayes | Decision Psychology | Decision Theory | Health/Medicine | Clinical Care | Chronic Disease/Risk | Business/Industry | Economics/Finance | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Resource PackWeb Portal, Teaching Resource 2017Resource Pack: Valuing Vaccines and GAVI
This resource pack on valuing vaccines and GAVI was curated by the Center for Health …
This resource pack on valuing vaccines and GAVI was curated by the Center for Health Decision Science to showcase existing information and analyses to motivate students, educators and others to pursue new applications of decision science methods to the public health challenge of vaccine preventable illnesses.
Priority Setting/Ethics | Preferences/Values | Mathematical Models | Calibration/Validation | Health/Medicine | Global Governance | Costing Methods | Dynamic Transmission | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Child/Nutrition | Health Systems | Economics/Finance | Government/Law | Science/Technology | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Resource PortalWeb Portal, Teaching Resource 2024National Academies of Sciences, Engineering, and Medicine
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide …
The National Academies of Sciences, Engineering, and Medicine, founded in 1863, has a mission to provide nonpartisan, objective guidance for decision makers on policy challenges in the context of science, engineering, and medicine. NAS reports and convening activities have a wide range of impacts on policy and practice. They guide the development of federal laws and regulations, improve the effectiveness of government programs, shape the direction of research fields, and inform public knowledge and dialogue about…
Evidence Synthesis | Priority Setting/Ethics | Health/Medicine | Global Governance | Injuries/Accidents | Health Outcomes | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Social Determinants | Health Systems | Climate/Environment | Energy/Engineering | Education/Labor | Food/Agriculture | Military/Defense | Science/Technology | Global | North America | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Health/Medicine | Clinical Care | Costing Methods | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ReportPublication 2015DCP3: Essential Surgery
This report from the World Bank is the first volume of the Disease Control Priorities, …
This report from the World Bank is the first volume of the Disease Control Priorities, Third Edition (DCP3) series. Essential Surgery presents data on the surgical burden of disease, disability, congenital abnormalities, and trauma, as well as the health impact and economic analysis of procedures. This report identifies 44 procedures that address substantial needs, are cost effective, and are feasible to implement in low- and middle-income countries. If made universally available, these 44 procedures could…
Evidence Synthesis | Health/Medicine | Global Governance | Injuries/Accidents | Clinical Care | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Science/Technology | Global -
ArticlePublication 2017Policy Makers, the International Community and the Population: Case Study on HIV/AIDS
A four-period game is developed between a policy maker, the international community, and the population. …
A four-period game is developed between a policy maker, the international community, and the population. This research supplements, through implementing strategic interaction, earlier research analyzing "one player at a time." The first two players distribute funds between preventing and treating diseases. The population reacts by degree of risky behavior which may cause no disease, disease contraction, recovery, sickness/death. More funds to prevention implies less disease contraction but higher death rate given disease contraction. The cost…
Priority Setting/Ethics | Mathematical Models | Decision Psychology | Health/Medicine | Global Governance | Infectious Diseases | Health Systems | Economics/Finance | Government/Law | Global -
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 | Calibration/Validation | Health/Medicine | Clinical Care | Chronic Disease/Risk | Health Systems | Science/Technology | North America -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Health/Medicine | Clinical Care | Costing Methods | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Economics/Finance | North America -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Mathematical Models | Health/Medicine | Clinical Care | Decision Analysis | Graduate | Doctoral | Professional