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.…
Decision Analysis | Health Outcomes | Health Systems | North America | Preferences/Values | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Europe -
OrganizationWeb Portal 2024Agency for Healthcare Research and Quality (AHRQ)
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for …
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for research on health care quality, costs, outcomes and patient safety. AHRQ is the health services research arm of the U.S. Department of Health and Human Services (HHS), complementing the biomedical research mission of its sister agency, the National Institutes of Health. The agency is home to research centers that specialize in major areas of health care research, including: clinical practice…
Decision Analysis | Health Outcomes | Health Systems | North America | Costing Methods | Test Performance | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Policy/Regulation | Economics/Finance | Government/Law | 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.
Decision Analysis | Health Outcomes | Health Systems | North America | Evidence Synthesis | Mathematical Models | Policy/Regulation | Health/Medicine -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Decision Analysis | Health Outcomes | Health Systems | North America | Probability/Bayes | Preferences/Values | Costing Methods | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2021Health Opportunity Cost Threshold for CEA in the U.S.
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, …
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, the authors simulated the short-term mortality and morbidity resulting from increased premium related cancelation of insurance coverage. The authors used this model to estimate cost-effectiveness thresholds, in dollars per quality-adjusted life year (QALY) gained based on health opportunity costs. They reported the number of persons who dropped insurance coverage, resulting number of additional deaths and QALYs lost from mortality and…
Health Outcomes | Health Systems | North America | Priority Setting/Ethics | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine -
Lesson/ModuleVideo, Teaching Resource 2018Introduction to Effectiveness, Patient Preferences, and Utilities
This video is intended to provide an introduction to the concept of the quality-adjusted life …
This video is intended to provide an introduction to the concept of the quality-adjusted life year or QALY as well as preference measurement. Descriptions of the several techniques that can be used for measuring QALYs in economic evaluations are presented. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the U.S. Department of Veterans Affairs Health Services Research and Development group focused on cost-effectiveness analysis and budget…
Decision Analysis | Health Systems | North America | Preferences/Values | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleVideo, Teaching Resource 2018An Overview of Decision Analysis
This video is intended to provide high-level overview of the field of decision analysis and …
This video is intended to provide high-level overview of the field of decision analysis and presents topics that include: why engage in decision analysis; what are the differences between cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and budget impact analysis; and different ways to conduct a decision analysis – such as modeling or measuring alongside a clinical trial. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the…
Decision Analysis | Health Systems | North America | Mathematical Models | Cost-Effectiveness Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2018Trading Bankruptcy for Health: A Discrete-Choice Experiment
This article in Value in Health evaluates the importance of improved health as compared to …
This article in Value in Health evaluates the importance of improved health as compared to improved financial risk protection in the general United States population. Using a discrete-choice experiment, it finds that 31.3% of the population values cure at all costs, and 8.5% of the population use financial solvency to dominate medical decision making. This study shares insight to the US population values and trade-offs between health outcomes and financial health, and highlights the difficult…
Health Outcomes | Health Systems | North America | Preferences/Values | Priority Setting/Ethics | Culture/Society | Economics/Finance | Health/Medicine -
DataWeb Portal 2024OECD Health Statistics
The Organisation for Economic Co-operation and Development (OECD) Health Database offers a comprehensive source of …
The Organisation for Economic Co-operation and Development (OECD) Health Database offers a comprehensive source of comparable statistics on health and health systems across OECD countries. These data serve to facilitate and support comparative analyses, and can be useful for researchers, educators and policy makers looking to draw lessons from international comparisons of diverse health systems. General categories of data include population demographics, health status and determinants of health, as well as data on the societal responses to health…
Health Outcomes | Health Systems | North America | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Social Determinants | Policy/Regulation | Economics/Finance | Education/Labor | Health/Medicine | Science/Technology | Latin America & Caribbean | Europe | Oceania