Resources Repository
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ArticlePublication 2021Correct COVID-19 Vaccine Misinformation: Lancet Commission on COVID-19 Vaccines & Therapeutics Task Force Members
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 …
This brief “primer” assists healthcare providers in correcting a growing body of misinformation surrounding COVID-19 vaccines. In 2020, up to one-third or more of people surveyed both globally and in the U.S. indicated they might refuse the first COVID-19 vaccines when released through emergency use authorization (EUA). Their rationale included questions about vaccine efficacy, potential side effects, or speeding through regulatory approval processes. Even among healthcare workers, high rates of COVID-19 vaccine hesitancy were noted.…
Science/Technology | Health/Medicine | Preferences/Values | Infectious Diseases | Social Determinants | Policy/Regulation | Global Governance | Culture/Society | Global -
ArticlePublication 2021Anti-Vaccination Infodemic on Social Media: A Behavioral Analysis
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is …
Vaccinations are without doubt one of the greatest achievements of modern medicine, and there is hope that they can constitute a solution to halt the ongoing COVID-19 pandemic. However, the anti-vaccination movement is currently on the rise, spreading online misinformation about vaccine safety and causing a worrying reduction in vaccination rates worldwide. In this historical time, it is imperative to understand the reasons of vaccine hesitancy, and to find effective strategies to dismantle the rhetoric…
Science/Technology | Health/Medicine | Preferences/Values | Infectious Diseases | Social Determinants | Culture/Society | Government/Law | North America -
ArticlePublication 2018Addressing Health-Related Misinformation on Social Media
Policy makers and the social media industry grapple with the challenge of curbing fake news, …
Policy makers and the social media industry grapple with the challenge of curbing fake news, disinformation, and hate speech; and the field of medicine is similarly confronted with the spread of false, inaccurate, or incomplete health information. This viewpoint argues that medical, public health, social science, and computer science experts must begin working together via interdisciplinary research to address health misinformation on social media, with a focus on the following four themes: (1) defining the…
Science/Technology | Health/Medicine | Decision Psychology | Social Determinants | Culture/Society | North America -
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…
Science/Technology | Health/Medicine | Probability/Bayes | Test Performance | Technology Assessment | Infectious Diseases | Clinical Care -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Science/Technology | Health/Medicine | Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
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…
Science/Technology | Health/Medicine | Probability/Bayes | Test Performance | Infectious Diseases | 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.
Health/Medicine | Preferences/Values | Priority Setting/Ethics | Health Outcomes | Health Systems | Clinical Care -
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…
Health/Medicine | Preferences/Values | Priority Setting/Ethics | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Economics/Finance | 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…
Health/Medicine | Preferences/Values | Priority Setting/Ethics | Decision Analysis | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Economics/Finance | Government/Law | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis