Resources Repository
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ArticlePublication 2023Valuing Mortality Risk: Per Life, Life Year, or QALY?
It is important to consider age and other relevant factors when assessing the value associated …
It is important to consider age and other relevant factors when assessing the value associated with reducing risks to ensure a comprehensive and accurate understanding of its impact. In a recent paper, it is explained that the value of risk reduction, whether it is a temporary or persistent reduction, can be defined using the "value per statistical life" (VSL), "value per statistical life year" (VSLY), or "value per quality-adjusted life year" (VQALY).
Preferences/Values | Benefit-Cost Analysis | Risk Analysis | Cost-Effectiveness Analysis -
ReviewPublication 2023Handbook of Vaccine Health Economics
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of …
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of vaccine discovery, financing, and distribution. It highlights the inadequacy of standard economic models for vaccines. The book explores alternative principles challenging market-based approaches and equips readers with tools for assessing costs and benefits through practical exercises. It serves as a comprehensive resource for decision-making in vaccine development and distribution and emphasizes the importance of considering broader perspectives beyond economic efficiency.…
Evidence Synthesis | Benefit-Cost Analysis | Decision Analysis | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Global | Graduate | Doctoral | Professional -
ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Mathematical Models | Decision Analysis | Calibration/Validation | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Global -
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 | Operations Research | Decision Analysis | Decision Theory | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
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…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America -
ArticlePublication 2015Broader Economic Impact of Vaccination: Reviewing and Appraising the Strength of Evidence
Economic evaluations of public health programs such as immunization often consider only direct health benefits and …
Economic evaluations of public health programs such as immunization often consider only direct health benefits and medical cost savings. Evidence linking immunization to important benefits in indicators such as childhood development, household behavior, and other macro-economic data are unclear. A conceptual framework of the pathways between immunization and these broader economic benefits was developed through expert consultation. The authors obtained articles from previous reviews, snowballing, and expert consultation, and associated them with one of the pathways and assessed them using modified Grading…
Evidence Synthesis | Preferences/Values | Benefit-Cost Analysis | Priority Setting/Ethics | Costing Methods | Cost-Effectiveness Analysis | Infectious Diseases | Social Determinants | Economics/Finance | Education/Labor | Health/Medicine -
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…
Evidence Synthesis | Mathematical Models | Calibration/Validation | Costing Methods | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine | North America -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Mathematical Models | Decision Analysis | Calibration/Validation | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Preferences/Values | Operations Research | Decision Analysis | Decision Theory | Probability/Bayes | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine