Resources Repository
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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…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Costing Methods | Evidence Synthesis | Microsimulation | Health Systems | Clinical Care | Economics/Finance -
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…
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Latin America & Caribbean | Europe | Oceania -
ArticlePublication 2013Nutritional Policy Changes in SNAP: A Microsimulation and Cost-Effectiveness Analysis
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) …
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP. The target population was adults in the U.S. and the time horizon was 10 years. Results showed that banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A…
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Economics/Finance | Food/Agriculture | Government/Law -
ArticlePublication 2019Health Impact and Cost-Effectiveness of SSB Taxes for Reducing Cancer Burden in the U.S.
This analysis evaluated the health outcomes, costs, and cost-effectiveness of a national sugar-sweetened beverage (SSB) …
This analysis evaluated the health outcomes, costs, and cost-effectiveness of a national sugar-sweetened beverage (SSB) tax policy for reducing obesity-related cancer in the U.S. A probabilistic cohort state-transition model, the Diet Cancer Outcome Model (DiCOM), was used to project the effect of a national $0.01 per ounce SSB excise tax on 13 obesity-associated cancers among U.S. adults age 20 and older over their lifetime. Cost-effectiveness was evaluated using both government affordability and societal perspectives. Results showed…
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Economics/Finance | Government/Law -
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Graduate -
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,…
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Social Determinants | Economics/Finance | Food/Agriculture -
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.
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | Preferences/Values | Evidence Synthesis | Decision Analysis | Cost-Effectiveness Analysis | Mental Health | Social Determinants | Health Systems | Economics/Finance | Government/Law | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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…
Mathematical Models | Health/Medicine | North America | Policy/Regulation | Chronic Disease/Risk | State-Transition | Microsimulation | Dynamic Simulation | Decision Analysis | Environmental Health | Health Systems | Business/Industry | Climate/Environment | Government/Law -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Chronic Disease/Risk | Evidence Synthesis | Health Systems | Clinical Care | Science/Technology