Resources Repository
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EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | Health/Medicine | Global | North America -
ArticlePublication 2020New Fronts in the War on Misinformation
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about …
The countless false claims that have spread alongside the novel coronavirus – inaccurate advice about how to prevent the virus, for example, and conspiracy theories about its origins – are just the latest manifestation of an ongoing problem: the online proliferation of misinformation about science and health. The National Academies hosted and helped organize three events focused on countering misinformation: The MisinfoCon conference, a Wikipedia Edit-a-thon, and a meeting to explore ways to expand successful…
Preferences/Values | Decision Psychology | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Education/Labor | Government/Law | Health/Medicine | Science/Technology | North America -
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 -
ArticlePublication 2020Incorporating Perspective into Clinical Decisions
Part of a six-part series of articles on clinical decision making, in this article, the …
Part of a six-part series of articles on clinical decision making, in this article, the authors discuss how to incorporate perspective into clinical decisions, explicitly acknowledging that the treating physician is not the only stakeholder in these decisions. The authors use 2 case studies to demonstrate how changes in perspective can alter the clinical decision as well lead to both intended and unintended consequences to the outcomes.
Priority Setting/Ethics | Preferences/Values | Health Outcomes | Health Systems | Clinical Care | Health/Medicine -
ArticlePublication 2020Clinical Decision Making: Using a Diagnostic Test
This article is part of a 6-part series on clinical decision making. The authors use …
This article is part of a 6-part series on clinical decision making. The authors use two clinical examples to review the principles of interpreting diagnostic test results. They outline an approach that can be used to determine how to select and apply tests and their results to the practice of internal medicine. Topics covered in the two case studies include sensitivity and specificity, positive predictive and negative predictive value of tests, and how to estimate…
Probability/Bayes | Test Performance | Clinical Care | Health/Medicine -
Resource PackPublication, Teaching Resource 2019Resource Pack: BCA in Low- and Middle-Income Countries
This resource pack, curated by the Center for Health Decision Science, includes methods papers, case …
This resource pack, curated by the Center for Health Decision Science, includes methods papers, case studies, and reference case guidance for conducting benefit-cost analyses in low- and middle-income countries. These resources will aid advanced students and experienced practitioners in preparing these analyses. Investing in global health and development requires making difficult choices about what initiatives to fund and what level of resources to devote to each initiative. Although benefit-cost analysis is a well-established and widely-used…
Priority Setting/Ethics | Preferences/Values | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis -
Resource PackPublication, Teaching Resource 2024Resource Pack: Introduction to Benefit-Cost Analysis
This resource pack, curated by the Center for Health Decision Science, introduces the theory and …
This resource pack, curated by the Center for Health Decision Science, introduces the theory and practice of benefit-cost analysis. It is targeted towards advanced students as well as practitioners and those interested in teaching benefit-cost analysis. Benefit-cost analysis (also referred to as cost-benefit analysis) is a well-established and widely-used form of economic evaluation. It is designed to inform policy and other decisions by providing evidence on the consequences of alternative interventions. In benefit-cost analysis, all…
Priority Setting/Ethics | Preferences/Values | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Economics/Finance | Government/Law | Health/Medicine | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis -
EditorialPublication 2018Combining A4R and MCDA in Priority Setting for Health
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria …
Multiple criteria decision analysis (MCDA) has been proposed as a method for determining the criteria to be used in health technology assessment. A standard criticism of MCDA is that it lacks attention to securing legitimacy for its decisions. Accountability for reasonableness (A4R) proposes four conditions (publicity, relevance, revisability and enforcement) that must be met if legitimacy and fairness are to be ascribed to decisions about priority setting.The relevance condition of A4R has been criticized for…
Priority Setting/Ethics | Preferences/Values | Health/Medicine