Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2018Teaching Pack: Teaching Prototypes for Decision Analysis
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for …
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for Health Decision Science (CHDS) Media Hub, reflect experiments to augment brick and mortar teaching with multimedia materials that emphasize visualization of basic concepts. The first video introduces decision making under uncertainty, and illustrates the use of probability and odds to quantitatively express uncertainty. The second and third videos introduce probability revision visually and analytically, showing how an initial probability is…
Test Performance | Health/Medicine | North America | Chronic Disease/Risk | Probability/Bayes | Value of Information | Health Systems | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
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 | Health/Medicine | North America | Chronic Disease/Risk | Preferences/Values | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ArticlePublication 2016Redrawing the U.S. Obesity Landscape: State-Specific Adult Obesity Prevalence
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic …
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic because they use self-reported height and weight. This study described a novel bias-correction method and produced corrected state-level estimates of obesity and severe obesity. Using non-parametric statistical matching, the authors adjusted self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS) 2013 (n = 386,795) using measured data from the National Health and Nutrition Examination Survey (NHANES) (n = 16,924).…
Evidence Synthesis | Health/Medicine | North America | Child/Nutrition | Health Outcomes -
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 | Health/Medicine | North America | Chronic Disease/Risk | Mathematical Models | Calibration/Validation | Health Systems | Clinical Care | Science/Technology -
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 | Health/Medicine | North America | Chronic Disease/Risk | Costing Methods | Mathematical Models | Microsimulation | Calibration/Validation | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance