Resources Repository
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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…
Probability/Bayes | Operations Research | Decision Theory | Preferences/Values | Decision Analysis | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine -
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).
Risk Analysis | Preferences/Values | Benefit-Cost Analysis | Cost-Effectiveness Analysis -
ArticlePublication 2022Hospital Closures amid COVID-19
The recent trend of hospital closures in the US has accelerated during the COVID-19 pandemic, …
The recent trend of hospital closures in the US has accelerated during the COVID-19 pandemic, as hospitals have experienced financial hardship from reduced patient volume and elective surgery cases, as well as the thin financial margins for treating patients with COVID-19. This trend of hospital closures is concerning for patients, healthcare providers, and policymakers. This current opinion piece describes the challenges caused by hospital closures and discusses what policymakers should know based on the existing…
Operations Research | Health Systems | Health/Medicine | North America -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Operations Research | Mathematical Models | Chronic Disease/Risk | Health/Medicine | North America -
ArticlePublication 2021Employee Health Plans Powered by Analytics
This article describes a business model for the employee health plans of large firms to …
This article describes a business model for the employee health plans of large firms to bypass insurers and instead use direct contracts with hospitals which have been designated as centers of excellence. The authors propose methods of machine learning and data analytics to identify efficient and effective delivery systems, with the ultimate goal of improving health care quality.
Operations Research | Health Systems | North America -
ArticlePublication 2020Perceptions of COVID-19 around the World
This study evaluates public risk perception of COVID-19 around the world in ten countries across …
This study evaluates public risk perception of COVID-19 around the world in ten countries across Europe, America, and Asia. They found that significant predictors of risk perception included personal experience with the virus, individualistic and prosocial values, hearing about the virus from friends and family, trust in government, science, and medical professionals, personal knowledge of government strategy, and personal and collective efficacy. Although there was substantial variability across cultures, individualistic worldviews, personal experience, prosocial values,…
Risk Analysis | Decision Psychology | Preferences/Values | Infectious Diseases | Culture/Society | Health/Medicine | Global -
ArticlePublication 2020Testing for SARS-CoV-2 Antibodies
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made antibody testing available to anyone wanting it, even if there is no clinical indication. The purpose of this article is to provide guidance for when to consider antibody testing in individuals with and without symptoms suggestive of current or past SARS-CoV-2 infection. Key points made by the authors include: (1) antibody testing is likely to be most useful 2 weeks…
Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care | Health/Medicine -
ArticlePublication 2020Bayes' Theorem, COVID-19, and Screening Tests
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain …
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain reaction (rRT-PCR) through the application of Bayes’ Theorem for three hypothetical, stylized case scenarios. The scenarios involve three patients with a low, moderate, and high pre-test probability of COVID-19 infection. The category of low probability would include "asymptomatic individuals in a presumed low prevalence environment" and might vary from 10 to 20%. The category of moderate probability would include "individuals…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global