Resources Repository
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ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Preferences/Values | Decision Analysis | Government/Law | Energy/Engineering | Health/Medicine | Business/Industry | Decision Theory | Policy/Regulation | Economics/Finance | Military/Defense | Science/Technology -
ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Preferences/Values | Decision Analysis | Health/Medicine | Business/Industry | Decision Theory | Operations Research | Economics/Finance | Military/Defense | North America -
ReviewPublication 2013Valuing the Economic Benefits of Complex Interventions
This is a review of economic evaluations of complex health interventions. Complex interventions, involving interlinked …
This is a review of economic evaluations of complex health interventions. Complex interventions, involving interlinked packages of care, challenge the application of current methods of economic evaluation that focus on measuring only health gain. The authors find that complex interventions may be problematic on two levels. First, the complexity means the intervention may not fit into one of the current appraisal systems, and/or second, maximizing health is not the only objective. This paper discusses the…
Preferences/Values | Decision Analysis | Government/Law | Health/Medicine | Health Systems | Policy/Regulation | Economics/Finance | Science/Technology | Europe -
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 | Decision Analysis | Food/Agriculture | Health/Medicine | State-Transition | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance -
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 | Government/Law | Energy/Engineering | Health/Medicine | Business/Industry | Priority Setting/Ethics | Evidence Synthesis | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | North America -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Preferences/Values | Decision Analysis | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | North America | 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 | Decision Analysis | Health/Medicine | Health Outcomes | Evidence Synthesis | Health Systems | Policy/Regulation | North America -
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.…
Preferences/Values | Mathematical Models | Health/Medicine | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Science/Technology | North America | Europe -
ReviewPublication 2016Strengthening Cost-Effectiveness Analysis for Public Health Policy
Many important opportunities to improve health lie outside the health sector and involve improving the …
Many important opportunities to improve health lie outside the health sector and involve improving the conditions in which we live and work: safe design and maintenance of roads, bridges, train tracks, and airports; control of environmental pollutants; occupational safety; healthy buildings; a safe and healthy food supply; safe manufacture of consumer products; a healthy social environment; and others. Faced with the overwhelming array of possibilities, U.S. decision makers need help identifying those that can contribute the…
Preferences/Values | Food/Agriculture | Health/Medicine | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Social Determinants | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | North America