Resources Repository
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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 | Health/Medicine | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care -
Resource PackPublication, Teaching Resource 2024Resource Pack: Ethiopian Health Decision Sciences
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence …
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence base for decision making and priority setting in Ethiopia - with an emphasis on improving health, reducing inequity, and preventing health-related impoverishment. Curated by Dr. Stéphane Verguet at the Center for Health Decision Science, most of the papers reflect work done as part of the Disease Control Priorities-Ethiopia (DCP-E) project. The pack provides scholarship that spans maternal-child health, vaccine-preventable disease, infectious…
Benefit-Cost Analysis | Health/Medicine | Priority Setting/Ethics | Costing Methods | Health Outcomes | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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 | Health/Medicine | Test Performance | Technology Assessment | Infectious Diseases | Health Systems | Policy/Regulation | Government/Law | 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…
Decision Psychology | Health/Medicine | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Culture/Society | Education/Labor | Government/Law | 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 | Health/Medicine | Test Performance | Infectious Diseases | Clinical Care -
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 | Health/Medicine | Test Performance | Infectious Diseases | Science/Technology | Global -
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 | Health/Medicine | Test Performance | Clinical Care -
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Calibration/Validation | Health/Medicine | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | North America | Graduate -
Resource PackPublication, Teaching Resource 2024Resource 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 guidelines 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…
Benefit-Cost Analysis | Health/Medicine | Preferences/Values | Priority Setting/Ethics | Decision Analysis | Social Determinants | Policy/Regulation | Economics/Finance | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis