Resources Repository
-
ToolInteractive 2020COVID-19 Antibody Tests: Calculator for Interpreting Test Results
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. This interactive calculator, linked to the article below* on antibody testing for SARS-CoV-2 virus, allows users to vary the prior probability of infection, the sensitivity of SARS-CoV-2 antibody testing, and the specificity of SARS-CoV-2 antibody testing. Key points made in the article accompanying the interactive include: (1) antibody testing is likely to be most useful 2 weeks after infection, (2) sensitivity and specificity will vary over time and…
Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology -
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.
Preferences/Values | Priority Setting/Ethics | 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 -
ArticlePublication 2020Premature Deaths, Statistical Lives, and Years of Life
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of …
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of exposure to environmental hazards such as air pollution are often described by the estimated number of “premature deaths” and the economic value of an exposure reduction as the number of “statistical lives saved” multiplied by the “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data; it…
Preferences/Values | Health Outcomes | Benefit-Cost Analysis | Environmental Health | Policy/Regulation | College | Graduate | Critical Thinking/Analysis -
ReviewPublication 2018Patient Variability Seldom Assessed in Cost-Effectiveness Studies
This article in Medical Decision Making reviews 200 articles published in 2014 to determine whether …
This article in Medical Decision Making reviews 200 articles published in 2014 to determine whether each cost-effectiveness analysis (CEA) study reported subgroup results and collected data on the defining characteristics of these subgroups. Since estimates can vary across patient subgroups when characteristics are influenced by preferences, outcome risks, treatment effectiveness, life expectancy, or associated costs it can be important to track and report these differences. The authors identified whether any of the CEA subgroup results…
Preferences/Values | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Health/Medicine | Global -
ArticlePublication 2018Trading Bankruptcy for Health: A Discrete-Choice Experiment
This article in Value in Health evaluates the importance of improved health as compared to …
This article in Value in Health evaluates the importance of improved health as compared to improved financial risk protection in the general United States population. Using a discrete-choice experiment, it finds that 31.3% of the population values cure at all costs, and 8.5% of the population use financial solvency to dominate medical decision making. This study shares insight to the US population values and trade-offs between health outcomes and financial health, and highlights the difficult…
Preferences/Values | Priority Setting/Ethics | Health Outcomes | Health Systems | Culture/Society | Economics/Finance | Health/Medicine | North America