Resources Repository
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ArticlePublication 2019Cost-Effectiveness of U.S. National SSB Tax with a Multistakeholder Approach: Who Pays and Who Benefits
This analysis estimated the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) …
This analysis estimated the health impact and cost-effectiveness of a national penny-per-ounce sugar-sweetened beverage (SSB) tax, overall and with stratified costs and benefits for nine distinct stakeholder groups. A microsimulation model (CVD PREDICT) was used to estimate cardiovascular disease reductions, quality-adjusted life years gained, and cost-effectiveness for U.S. adults aged 35 to 85 years, evaluating full and partial consumer price pass-through. Results showed that from both a health care and societal perspective, the SSB tax was…
Microsimulation | Health/Medicine | Business/Industry | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Government/Law | North America -
ArticlePublication 2018Cost-Effectiveness of Financial Incentives and Disincentives for Improving Food Purchases and Health through SNAP
This analysis estimated the health impact, costs, and cost-effectiveness of food incentives, disincentives, or restrictions …
This analysis estimated the health impact, costs, and cost-effectiveness of food incentives, disincentives, or restrictions in the Supplemental Nutrition Assistance Program (SNAP). A microsimulation model (CVD-PREDICT) was used to compare three policy interventions: (1) a 30% incentive for fruits and vegetables (F&V), (2) a 30% F&V incentive with a restriction of sugar-sweetened beverages (SSBs), and (3) a broader incentive/disincentive program for multiple foods that also preserves choice (SNAP-plus). From a societal perspective, all three scenarios…
Microsimulation | Health/Medicine | Business/Industry | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Government/Law | North America -
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…
Decision Theory | Health/Medicine | Business/Industry | Preferences/Values | Decision Analysis | Operations Research | Economics/Finance | Military/Defense | North America -
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…
Decision Theory | Health/Medicine | Business/Industry | Probability/Bayes | Preferences/Values | Decision Analysis | Operations Research | Economics/Finance | Energy/Engineering -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Decision Theory | Health/Medicine | Business/Industry | Preferences/Values | Decision Analysis | Policy/Regulation | Economics/Finance | Energy/Engineering | Government/Law | Military/Defense | Science/Technology -
ArticlePublication 2024Hepatitis C Elimination in Rwanda: Progress, Feasibility, Economic Evaluation
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis …
This study evaluates the impact of Rwanda's national program launched in 2018 to eliminate hepatitis C virus (HCV) and identifies strategies to achieve World Health Organization (WHO) elimination goals by 2030. Employing a microsimulation model spanning 2015 to 2050, the analysis assesses HCV epidemic trends, prevalence, mortality, and total care costs under various scenarios. Results show that between 2018 and 2022, over 7 million people were screened and 60,000 treated, projecting Rwanda's potential achievement of…
Microsimulation | Health/Medicine | Infectious Diseases | Chronic Disease/Risk | Sub-Saharan Africa -
ReviewPublication 2021Review of Web-Based Tools for Value-of-Information Analysis
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial …
Value-of-information analysis (VOI) is an analytic approach used to inform research priorities, guide clinical trial design, and provide information for decisions about reimbursement. The authors review existing web-based tools to facilitate VOI calculations. These include Sheffield Accelerated Value of Information (SAVI), the web interface to the BCEA (Bayesian Cost-Effectiveness Analysis) R package (BCEAweb), Rapid Assessment of Need for Evidence (RANE), and Value of Information for Cardiovascular Trials and Other Comparative Research (VICTOR).
Decision Theory | Health/Medicine | Priority Setting/Ethics | Value of Information | Cost-Effectiveness Analysis | Economics/Finance -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Microsimulation | Health/Medicine | Health Outcomes | Mathematical Models | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Microsimulation | Health/Medicine | Health Outcomes | Evidence Synthesis | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Clinical Care | Global