Resources Repository
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Resource PackPublication, Teaching Resource 2017Resource Pack: CEA Herpes Zoster Vaccine
This resource pack on the cost-effectiveness of herpes zoster vaccination was curated to support Dr. …
This resource pack on the cost-effectiveness of herpes zoster vaccination was curated to support Dr. Lisa Prosser's seminar on November 9, 2017 at the Center for Health Decision Science. Dr. Prosser discussed an economic evaluation of vaccination against herpes zoster. Herpes zoster—more commonly known as shingles—presents a major burden for older Americans but, until recently, the only available vaccine (Zoster Vaccine Live, ZVL) was relatively ineffective past 10 years. A recently approved vaccine–herpes zoster subunit…
Mathematical Models | Health/Medicine | North America | Preferences/Values | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Clinical Care | Culture/Society | Science/Technology | 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/Medicine | North America | Health Outcomes | Evidence Synthesis | Decision Analysis | Health Systems | Policy/Regulation -
GuidelinesPublication 2016Estimating Health-State Utility for Economic Models: ISPOR Task Force Report
Cost-utility models are increasingly used in many countries to establish whether the cost of a …
Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility models. Clinical trials represent an important opportunity for the collection of health-utility data.…
Mathematical Models | Health/Medicine | North America | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Science/Technology | Europe -
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 | State-Transition | Microsimulation | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law -
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 | Health/Medicine | North America | Priority Setting/Ethics | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Science/Technology | Global | College | Graduate | Doctoral | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership -
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 | Health/Medicine | North America | Evidence Synthesis | Calibration/Validation | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology -
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…
Mathematical Models | Health/Medicine | North America | Evidence Synthesis | Decision Analysis | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk -
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…
Mathematical Models | Health/Medicine | North America | State-Transition | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk