Resources Repository
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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…
Dynamic Simulation | Microsimulation | Mathematical Models | State-Transition | Health/Medicine | North America | Policy/Regulation | Health Systems | Decision Analysis | Chronic Disease/Risk | Environmental Health | Business/Industry | Climate/Environment | Government/Law -
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…
Microsimulation | Mathematical Models | Calibration/Validation | Health/Medicine | North America | Policy/Regulation | Health Systems | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Clinical Care | Economics/Finance -
ArticlePublication 2021Health Opportunity Cost Threshold for CEA in the U.S.
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, …
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, the authors simulated the short-term mortality and morbidity resulting from increased premium related cancelation of insurance coverage. The authors used this model to estimate cost-effectiveness thresholds, in dollars per quality-adjusted life year (QALY) gained based on health opportunity costs. They reported the number of persons who dropped insurance coverage, resulting number of additional deaths and QALYs lost from mortality and…
Microsimulation | Health Outcomes | Health/Medicine | North America | Policy/Regulation | Health Systems | Priority Setting/Ethics | Evidence Synthesis | Cost-Effectiveness Analysis -
BookPublication 2016Cost-Effectiveness in Health and Medicine, 2nd Edition
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The …
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The Second Panel on Cost-Effectiveness in Health and Medicine included experts drawn from academia, healthcare administration, and government. The book offers advice for conducting analyses to improve the allocation of health resources, and is intended for economists, policy analysts, hospital executives, and students across health, business, and humanities disciplines. New components of this edition, include an in-depth review of the past 20…
Mathematical Models | Health Outcomes | Health/Medicine | North America | Policy/Regulation | Health Systems | Preferences/Values | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Technology Assessment | Economics/Finance | Global | Europe -
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.
Mathematical Models | Health Outcomes | Health/Medicine | North America | Policy/Regulation | Health Systems | Evidence Synthesis | Decision Analysis -
BookPublication 2013Making Hard Decisions with Decision Tools, 3rd Edition
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas …
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version has been purposefully written to be more relevant to students in business and engineering compared to previous versions. This new version also incorporates and implements the powerful DecisionTools® software by Palisade Corporation. At the end of each chapter, topics are illustrated with step-by-step instructions…
Probability/Bayes | Microsimulation | Energy/Engineering | Health/Medicine | North America | Policy/Regulation | Preferences/Values | Test Performance | Value of Information | Decision Analysis | Business/Industry | Military/Defense | Science/Technology | Global | Europe -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Mathematical Models | Energy/Engineering | Health/Medicine | North America | Policy/Regulation | Health Systems | Priority Setting/Ethics | Evidence Synthesis | Technology Assessment | Environmental Health | Business/Industry | Climate/Environment | Economics/Finance | Government/Law -
Resource PackPublication, Teaching Resource 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Microsimulation | Mathematical Models | Health Outcomes | Health/Medicine | North America | Policy/Regulation | Evidence Synthesis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Latin America & Caribbean | Europe | Oceania -
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…
Probability/Bayes | Mathematical Models | Health Outcomes | Health/Medicine | North America | Health Systems | Preferences/Values | Costing Methods | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy