Resources Repository
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GuidelinesPublication 2013Decision and Simulation Modeling in Systematic Reviews
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic …
The purpose of this review is to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The purpose of systematic reviews is to synthesize the current scientific literature on a particular topic in the form of evidence reports and technology assessments to assist public and private organizations in developing strategies that improve the quality of health care and decision making. However, there…
Evidence Synthesis | Mathematical Models | Decision Analysis | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | Health/Medicine | North America -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Decision Analysis | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
BookPublication 2007Advances in Decision Analysis: From Foundations to Applications
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals …
Decision analysis consists of a prescriptive theory and associated models and tools that aid individuals or groups confronted with complex decision problems in a wide variety of contexts. Decision analysis can be applied to the environment, health and medicine, engineering, public policy, and business. This book reviews and extends the material typically presented in introductory texts on decision analysis. It covers the broad scope of decision analysis at an advanced level and includes chapters written by…
Mathematical Models | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Business/Industry | Economics/Finance | Government/Law | Health/Medicine -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global -
BookPublication 2003WHO Guide to Cost-Effectiveness Analysis
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an …
This 2003 guide provides a method of assessing the cost-effectiveness of health interventions for an international audience. The authors aim to inform the policy maker and to maximize the generalizability of results across settings. Part I begins with a description of cost-effectiveness analysis. It then considers issues relating to study design, estimating costs, assessing health effects, discounting, uncertainty and sensitivity analysis, and reporting results. Part II provides examples to illustrate the principles in Part I. Detailed discussions…
Evidence Synthesis | Mathematical Models | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | 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…
Evidence Synthesis | Mathematical Models | Priority Setting/Ethics | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
Working PaperPublication 2024Economic Evaluation Primer
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence …
Economic evaluation is a powerful tool, encouraging the systematic collection and assessment of the evidence needed to support sound policy decisions. In low- and middle-income countries, where resources are especially scarce and needs are very great, such decisions are exceptionally difficult. In these settings, economic evaluation can be particularly useful in determining how to best improve health and welfare. Typically, cost-effectiveness analysis (CEA) is used to prioritize interventions within the health care sector. This approach…
Priority Setting/Ethics | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Policy/Regulation | Global -
ArticlePublication 2024Extended Cost-Effectiveness Analysis of Interventions to Improve Uptake of Diabetes Services in South Africa
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes …
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes diagnosis and treatment service utilization in South Africa (SA) using extended cost-effectiveness analysis (ECEA). Applying a Markov model over a 45-year period, the analysis compares costs, health benefits, and financial risk protection (FRP) attributes of different CCT strategies, drawing from SA-specific data. Three scenarios were simulated: covering diagnosis services only, treatment services only, and both diagnosis and treatment services. Cost-effectiveness,…
Mathematical Models | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Mathematical Models | Decision Analysis | North America