Resources Repository
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Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Decision Science Textbooks
This resource pack, curated by the Center for Health Decision Science, features introductory textbooks in …
This resource pack, curated by the Center for Health Decision Science, features introductory textbooks in decision analysis. These textbooks are mainly aimed at health professional schools but also public policy, law, business and engineering. Each textbook is accompanied by a downloadable PDF document with information on each chapter. The textbooks are broadly organized into three groups. The first group contains books on general decision analysis. They inform the reader on overarching decision analytic topics, such…
Mathematical Models | Value of Information | Decision Theory | Probability/Bayes | Preferences/Values | Costing Methods | Test Performance | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Decision Making/Leadership | Quantitative Literacy -
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 | Technology Assessment | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Global | North America | Europe -
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 | Technology Assessment | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | 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 | Value of Information | Preferences/Values | Priority Setting/Ethics | Costing Methods | Health Outcomes | Evidence Synthesis | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Economics/Finance | Health/Medicine | Science/Technology | Global | North America | Europe -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Calibration/Validation | Mathematical Models | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | Mathematical Models | Costing Methods | Evidence Synthesis | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
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 | Value of Information | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | 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 -
ArticlePublication 2014Cost-Effectiveness of Female HPV Vaccination in 179 Countries: A PRIME Modelling Study
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), …
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), used to assess cost-effectiveness and health effects of vaccination of girls against HPV before sexual debut in terms of burden of cervical cancer and mortality. The PRIME models incidence according to proposed vaccine efficacy against HPV 16/18, vaccine coverage, cervical cancer incidence and mortality, and HPV type distribution. It assumes lifelong vaccine protection and no changes to other screening programs…
Calibration/Validation | Mathematical Models | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Health/Medicine | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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…
Calibration/Validation | Mathematical Models | Costing Methods | Health Outcomes | Health/Medicine