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 Systems | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | North America | 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 Systems | Costing Methods | Health Outcomes | 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 | North America -
OrganizationWeb Portal 2024MCDM
Founded in 1998 out of a special interest group on multi-criteria decision making, The International Society …
Founded in 1998 out of a special interest group on multi-criteria decision making, The International Society for Multi-Criteria Decision Making (MCDM) develops, tests, evaluates and applies methodologies for solving multiple criteria decision making problems. They foster interaction and research in the scientific field of multiple criteria decision making, and work with other organizations in the study of management from a quantitative perspective. Resources available from MCDM include conferences, lists of software used for multi-criteria decision making…
Decision Analysis | Health Systems | Priority Setting/Ethics | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | Global -
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 Systems | Health Outcomes | Evidence Synthesis | Mathematical Models | Policy/Regulation | Health/Medicine | North America -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Microsimulation | Health Systems | Mathematical Models | State-Transition | Dynamic Transmission | Dynamic Simulation | Chronic Disease/Risk | Social Determinants | Environmental Health | Climate/Environment | Culture/Society | Health/Medicine -
ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
Microsimulation | Health Systems | Mathematical Models | State-Transition | Clinical Care | Health/Medicine -
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…
Decision Analysis | Health Systems | Preferences/Values | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | Europe