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 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 -
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…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | 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…
Probability/Bayes | Test Performance | Infectious Diseases | Health/Medicine | Science/Technology | Global -
Resource PackPublication, Teaching Resource 2022Resource Pack: Decision Analysis & Childhood Obesity
This resource pack on childhood obesity was curated by the Center for Health Decision Science …
This resource pack on childhood obesity was curated by the Center for Health Decision Science to showcase existing cost-effectiveness analyses and motivate students, educators, and others to pursue new applications of decision science methods to the public health challenge of obesity. The resource pack was motivated by the NEJM article entitled Simulation of Growth Trajectories of Childhood Obesity into Adulthood published on November 30, 2017, with CHDS co-authors Zach Ward and Stephen Resch. Citation: Ward Z, Long M,…
Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Clinical Care | Culture/Society | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
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 -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Extended Cost-Effectiveness Analysis
This teaching pack, curated by the Center for Health Decision Science, features videos introducing extended …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing extended cost-effectiveness analysis (ECEA) and detailing how it is conducted, and assembles ECEA publications and teaching materials. In addition to the videos, this teaching pack includes a glossary and tutorial. Videos include: Video 1. Introduction to ECEA (~2 min) Video 2. Quantifying Health Benefits (~4 min) Video 3. Private Expenditures Averted (~3 min) Video 4. Financial Risk Protection (~5 min) Video 5.…
Costing Methods | Priority Setting/Ethics | Health Outcomes | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Global -
OrganizationWeb Portal 2024Society for Benefit-Cost Analysis
The Society for Benefit-Cost Analysis (SBCA), founded in 2007, works to improve the theory and …
The Society for Benefit-Cost Analysis (SBCA), founded in 2007, works to improve the theory and practice of benefit-cost analysis and support evidence-based policy decisions. It addresses policy areas including public health, transportation, criminal justice, education, energy, environmental quality, homeland security, and poverty. Members include scholars and practitioners from around the world, who work in government, academia, nonprofits and private industry. Its members represent numerous disciplines such as economics, law, engineering, public policy, decision science, and…
Costing Methods | Preferences/Values | Priority Setting/Ethics | Benefit-Cost Analysis | Social Determinants | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Education/Labor | Food/Agriculture | Government/Law | Health/Medicine | Military/Defense | Science/Technology | Global | Critical Thinking/Analysis -
ReportPublication 2016DCP3: Reproductive, Maternal, Newborn, and Child Health
This report from the World Bank is the second volume of the Disease Control Priorities, …
This report from the World Bank is the second volume of the Disease Control Priorities, Third Edition (DCP3) series. It focuses primarily on maternal conditions, childhood illnesses, and malnutrition, addressing topics from maternal mortality and morbidity, to acute illness and undernutrition in children under five, to the transition to older childhood and the illnesses that accompany this transition. The Disease Control Priorities Network (DCP) promotes and supports the use of economic evaluation for priority setting…
Costing Methods | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Child/Nutrition | Health Systems | Global Governance | Economics/Finance | Health/Medicine | Global