Resources Repository
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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 | Europe | North America | Health Outcomes | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine -
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 | Europe | North America | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Health/Medicine | Science/Technology -
GuidelinesPublication 2016Second Panel on Cost-Effectiveness in Health and Medicine
This article provides an overview of the main recommendations of the 2016 Second Panel on …
This article provides an overview of the main recommendations of the 2016 Second Panel on Cost-Effectiveness in Health and Medicine. In 1993, the U.S. Public Health Service convened the first panel of experts to review the state of cost-effectiveness analysis and to develop guidelines for its use in health, to improve quality and promote comparability. Scientists and scholars in economics, clinical medicine, ethics, and statistics met to share expertise and develop recommendations by consensus. The…
Priority Setting/Ethics | North America | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | Technology Assessment | Health/Medicine -
ReviewWeb Portal 2016Use of Economics in Informing U.S. Public Health Policy
The goal of this American Journal of Preventive Medicine supplement on “The Use of Economics …
The goal of this American Journal of Preventive Medicine supplement on “The Use of Economics in Informing U.S. Public Health Policy” is to influence policy researchers to identify and undertake economic research that generates the key evidence needed to inform policy. In public health, economic evaluation, primarily cost and cost-effectiveness analysis, has been widely used to demonstrate the economic burden of health-related conditions and the value of proposed programs and policies. However, despite the wealth…
Priority Setting/Ethics | North America | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine -
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…
Priority Setting/Ethics | Preferences/Values | North America | Costing Methods | Cost-Effectiveness Analysis | Social Determinants | Environmental Health | Health Systems | Policy/Regulation | Climate/Environment | Economics/Finance | Food/Agriculture | Health/Medicine -
ReviewPublication 2021European News Consumers' Perceptions of Misinformation
This study indicated that news users across ten different European countries are quite concerned about …
This study indicated that news users across ten different European countries are quite concerned about misinformation in their information environment. Respondents were most likely to associate politicians, corporations, and foreign actors with misinformation. They perceived misinformation to be most common for topics like immigration, the economy, and the environment. This offered support for the increasingly more relative and politicized status of facts in people’s credibility perceptions. Yet, differences across sources and issues were relatively modest,…
Preferences/Values | Decision Psychology | Europe | Social Determinants | Culture/Society | Education/Labor | Health/Medicine | Science/Technology -
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.
North America | Health Outcomes | Evidence Synthesis | Mathematical Models | Decision Analysis | Health Systems | Policy/Regulation | Health/Medicine -
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 Theory | North America | Decision Analysis | Operations Research | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense -
ReviewPublication 2016Economic Dimensions of Noncommunicable Diseases in Latin America and the Caribbean
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases …
This companion volume to Disease Control Priorities, Third Edition (DCP3), explores the impact of noncommunicable diseases (NCDs) on development and economic growth in the countries of Latin America and the Caribbean (LAC). This collection of manuscripts examines the complex interplay among NCDs, health expenditures and financial investments in health, poverty, and inequities, using up-to-date information and evidence from the LAC region. There is compelling proof that NCDs are a major and growing problem for low- and…
Priority Setting/Ethics | Latin America & Caribbean | Costing Methods | Cost-Effectiveness Analysis | Technology Assessment | Child/Nutrition | Chronic Disease/Risk | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine