Resources Repository
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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 | Policy/Regulation | Health Outcomes | Evidence Synthesis | Decision Analysis | Health Systems | Health/Medicine | North America -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Models and Practice
This module is an introduction to models and to their role in regulatory decision-making, and …
This module is an introduction to models and to their role in regulatory decision-making, and is intended for non-scientists from a variety of different backgrounds including law, journalism, public policy, and business. The module covers three main themes: (1) Core lessons on using models for policy making; (2) Key questions on the art and science of modeling including how models differ from other scientific techniques; and (3) Key ideas on using models in policy-making including how…
Mathematical Models | Policy/Regulation | Priority Setting/Ethics | Environmental Health | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership -
ArticlePublication 2015Health Gains & Financial Risk Protection by Public Financing in Ethiopia: An ECEA
This article, published in the Lancet Global Health, aims to evaluate the health and financial …
This article, published in the Lancet Global Health, aims to evaluate the health and financial risk protection benefits of selected interventions that could be publicly financed by the government of Ethiopia. The authors used an extended cost-effectiveness analysis (ECEA) to assess the health gains (deaths averted) and financial risk protection afforded (cases of poverty averted) by a bundle of nine interventions that the Government of Ethiopia aims to make universally available. This approach incorporates financial…
Mathematical Models | Policy/Regulation | Priority Setting/Ethics | Cost-Effectiveness Analysis | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Health Systems | Health/Medicine | Sub-Saharan Africa -
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 | Policy/Regulation | Costing Methods | Evidence Synthesis | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | North America -
ReportPublication 2015Modeling to Improve Policy Decisions in the Americas: Noncommunicable Diseases
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only …
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only to human health, but also to a country’s economic development and growth. The evidence on both of these counts is compelling. In 2012, cardiovascular disease, diabetes, cancers, chronic respiratory conditions including asthma, and other NCDs were the cause of 4.5 million deaths in the Americas. Of that total number, 1.5 million of them were premature, occurring among people aged 30-69…
Mathematical Models | Mental Health | Priority Setting/Ethics | Costing Methods | State-Transition | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Latin America & Caribbean -
ReviewPublication 2003Public Health Policy and Cost-Effectiveness Analysis
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to …
This chapter presents an overview of the uses for cost-effectiveness analysis and disease-simulation modeling to rigorously evaluate alternatives to reduce mortality from cervical cancer. Scientific advances have provided opportunities over time to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound…
Mathematical Models | Policy/Regulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Health/Medicine | Global -
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 | Policy/Regulation | Priority Setting/Ethics | Evidence Synthesis | Technology Assessment | Environmental Health | Health Systems | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America