Resources Repository
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ArticlePublication 2007Cost Effectiveness of Interventions to Reduce Maternal Mortality in Mexico
This article, published in PloS One, uses maternal mortality data from Mexico to examine trends …
This article, published in PloS One, uses maternal mortality data from Mexico to examine trends in the provision of maternal health services and the trajectory towards reaching the Millennium Development Goal 5 (MDG 5). The authors developed a model of the natural history of pregnancy and pregnancy related complications and simulated a cohort of 15-year-old women over their lifetime based on national data. The model produced clinical outcomes, costs, and cost-effectiveness of the current standard…
Health/Medicine | Cost-Effectiveness Analysis | Costing Methods | Health Outcomes | Maternal/Reproductive Health | Economics/Finance | Latin America & Caribbean -
GuidelinesPublication 2007Preference Measurement in Economic Analysis
This guide includes an overview of the concepts of preference measurement and quality-adjusted life years, …
This guide includes an overview of the concepts of preference measurement and quality-adjusted life years, a description of the most common techniques used for measuring preferences in economic evaluation, a summary of experience measuring preferences in the VA Cooperative Studies Program.
Health/Medicine | Preferences/Values | Health Outcomes | North America -
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,…
Health/Medicine | Cost-Effectiveness Analysis | Mathematical Models | Decision Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Science/Technology | Global -
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…
Health/Medicine | Cost-Effectiveness Analysis | Mathematical Models | Infectious Diseases | Chronic Disease/Risk | Health Systems | Policy/Regulation | Global -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Calibration/Validation | Health/Medicine | Mathematical Models | Science/Technology | Global -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Calibration/Validation | Health/Medicine | Mathematical Models | State-Transition | Infectious Diseases | Chronic Disease/Risk | North America -
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…
Health/Medicine | Priority Setting/Ethics | Evidence Synthesis | Mathematical Models | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | North America -
Tutorial/PrimerPublication, Teaching Resource 1980Threshold Approach to Clinical Decision Making
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and …
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and how to calculate thresholds for testing, treatment, and no treatment. The authors describe how a physician's estimate of the probability that a patient has a particular disease is a principal factor in the determination of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests. Using the concepts of decision analysis,…
Health/Medicine | Probability/Bayes | Test Performance | Value of Information | Decision Analysis