Resources Repository
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BookPublication 2016Cost-Effectiveness in Health and Medicine, 2nd Edition
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The …
This is a revised and expanded edition of the original text on Cost-Effectiveness in Health and Medicine. The Second Panel on Cost-Effectiveness in Health and Medicine included experts drawn from academia, healthcare administration, and government. The book offers advice for conducting analyses to improve the allocation of health resources, and is intended for economists, policy analysts, hospital executives, and students across health, business, and humanities disciplines. New components of this edition, include an in-depth review of the past 20…
Mathematical Models | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Global | 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 | Health Outcomes | Evidence Synthesis | Decision Analysis | Health Systems | Policy/Regulation | Health/Medicine | 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.…
Mathematical Models | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | Health Systems | Health/Medicine | Science/Technology | North America | Europe -
BookPublication 2015Methods for the Economic Evaluation of Health Care Programmes, 4th Edition
The 2015 edition of Methods for the Economic Evaluation of Health Care Programmes provides a …
The 2015 edition of Methods for the Economic Evaluation of Health Care Programmes provides a 'tool kit' for undertaking health economic evaluations. The report is aimed at researchers, health service professionals and policy makers without a formal economics background. The recommendations are based on the authors' own experiences and so are practical in nature. The book describes the challenges of allocating resources efficiently and fairly, including challenges in methodology and policy formation. Examples are provided.…
Mathematical Models | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Evidence Synthesis | Value of Information | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | Global | North America | Europe -
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…
Mathematical Models | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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 | Evidence Synthesis | Decision Analysis | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | Health/Medicine | North America -
GuidelinesPublication 2012Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Task Force-7
This paper discusses how to improve trust in the use of health care models through …
This paper discusses how to improve trust in the use of health care models through validation and transparency. Validation involves face validity (wherein experts evaluate model structure, data sources, assumptions, and results), verification or internal validity (check accuracy of coding), cross validity (comparison of results with other models analyzing same problem), external validity (comparing model results to real-world results), and predictive validity (comparing model results with prospectively observed events). Recommendations are provided for nontechnical description…
Mathematical Models | Costing Methods | Health Outcomes | Calibration/Validation | Health/Medicine -
GuidelinesPublication 2012State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Task Force-3
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) …
State-transition modeling includes both Markov model cohort simulation as well as individual-based (first-order Monte Carlo) microsimulation. These models have been used in many different populations and diseases, and their applications range from personalized health care strategies to public health programs. Most frequently, state-transition models are used in the evaluation of risk factor interventions, screening, diagnostic procedures, treatment strategies, and disease management programs. Recommendations are made on choice of model type (cohort vs. individual-level model), model…
Mathematical Models | State-Transition | Microsimulation | Health/Medicine -
GuidelinesPublication 2012Conceptualizing a Model: A Report of the ISPOR-SMDM Modeling Task Force-2
This article provides a series of consensus-based best practices regarding the process of model conceptualization, …
This article provides a series of consensus-based best practices regarding the process of model conceptualization, specifically when models are used to inform medical decisions and health-related resource allocation. The authors divide the conceptualization process into two distinct components: the conceptualization of the problem, which converts knowledge of the health care process or decision into a representation of the problem, followed by the conceptualization of the model itself, which matches the attributes and characteristics of a…
Mathematical Models | Decision Analysis | Health/Medicine