Resources Repository
-
GuidelinesPublication 2016Decision Models in Clinical Preventive Services Recommendations
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on …
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on comprehensive systematic reviews of the best available evidence. Decision models provide a complementary, quantitative approach to support the USPSTF as it deliberates about the evidence and develops recommendations for clinical and policy use. This article describes the rationale for using modeling, an approach to selecting topics for modeling, and how modeling may inform recommendations about clinical preventive services.
Decision Analysis | Health Systems | Health Outcomes | Evidence Synthesis | Mathematical Models | Policy/Regulation | Health/Medicine | North America -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Decision Analysis | Health Systems | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
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…
Calibration/Validation | Health Systems | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology | North America -
Lesson/ModulePublication, Teaching Resource 2015CDC Science Ambassador Workshop 2015 Lesson Plan: Seasonal Flu Costs How Much?!
This lesson plan from the Centers for Disease Control and Prevention (CDC) was curated to …
This lesson plan from the Centers for Disease Control and Prevention (CDC) was curated to teach high school students, grades 9-10, to explore decision-making about the seasonal influenza (flu) vaccination. The lesson looks at financial decisions around vaccinations, based on a case study exploring the experiences of 282 children from cities around the United States. It looks at a wide range of factors including treatment for children with the flu and the cost of parents…
Decision Analysis | Infectious Diseases | Costing Methods | Social Determinants | Clinical Care | Economics/Finance | Health/Medicine | Science/Technology | North America | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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…
Calibration/Validation | Health Systems | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
Tutorial/PrimerPublication, Teaching Resource 2015Calibration of Complex Models through Bayesian Evidence Synthesis: A Tutorial
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to …
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to calibrate the parameters of a complex model. To illustrate these methods, the authors demonstrate how a previously developed Markov model for the progression of human papillomavirus (HPV-16) infection was rebuilt in a Bayesian framework. Transition probabilities between states of disease severity are inferred indirectly from cross-sectional observations of prevalence of HPV-16 and HPV-16–related disease by age, cervical cancer incidence, and…
Calibration/Validation | Infectious Diseases -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Decision Analysis | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2014Maths and Our Health
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics …
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics in decision-making. Each pack provides videos and supplemental materials, including presentations, worksheets, and games. Topics include: “Eating Bacon Sandwiches is Bad for You!” Evaluating Risk Epidemics: Modelling with Mathematics Life Saving Maths: How Does Vaccination Work? The Economics of Health: How Do We Decide? The Test is Positive: But What Are the Odds It’s Wrong?
Decision Analysis | Infectious Diseases | Decision Theory | Test Performance | Mathematical Models | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global | Middle School | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2013Validation and Calibration of a Simulation Model of Pediatric HIV Infection
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of …
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of Preventing AIDS Complications (CEPAC) model framework. This CEPAC-Pediatric model was then validated by varying CD4 data and comparing the corresponding model-generated survival curves to empirical survival curves obtained from the International Epidemiologic Database to Evaluate AIDS (IeDEA). The model was calibrated to other African countries by systematically varying immunologic and HIV mortality-related input parameters. In the calibration analyses, the model-generated…
Calibration/Validation | Infectious Diseases | Microsimulation | Child/Nutrition | Health/Medicine | Sub-Saharan Africa