Resources Repository
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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 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Mathematical Models | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America | Latin America & Caribbean | Europe | Oceania -
ArticlePublication 2013Nutritional Policy Changes in SNAP: A Microsimulation and Cost-Effectiveness Analysis
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) …
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP. The target population was adults in the U.S. and the time horizon was 10 years. Results showed that banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A…
Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America -
ArticlePublication 2016Mexico's SSB Tax Policy Impact on Diabetes and Cardiovascular Disease: Modeling Study
In 2014, Mexico instituted a nationwide tax on sugar-sweetened beverages (SSBs) in order to reduce …
In 2014, Mexico instituted a nationwide tax on sugar-sweetened beverages (SSBs) in order to reduce the high level of SSB consumption, a preventable cause of diabetes and cardiovascular disease (CVD). In this analyses, a computer simulation model of CVD was used to project potential long-range health and economic impacts of SSB taxation in Mexico. Two main scenarios were modeled: (1) a 10% reduction in SSB consumption (corresponding to the reduction observed after tax implementation) and…
Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2017Modeled Health Benefits of a SSB Tax across Different Socioeconomic Groups in Australia
This analysis assessed the potential cost-effectiveness, health gains, and financial impacts of a 20% sugar-sweetened …
This analysis assessed the potential cost-effectiveness, health gains, and financial impacts of a 20% sugar-sweetened beverage (SSB) tax for Australia. Australia-specific price elasticities were used to predict decreases in SSB consumption for each socio-economic quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey, and energy balance equations. Markov cohort models were used to estimate the health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs…
Mathematical Models | State-Transition | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | Oceania -
ArticlePublication 2019Health Impact and Cost-Effectiveness of SSB Taxes for Reducing Cancer Burden in the U.S.
This analysis evaluated the health outcomes, costs, and cost-effectiveness of a national sugar-sweetened beverage (SSB) …
This analysis evaluated the health outcomes, costs, and cost-effectiveness of a national sugar-sweetened beverage (SSB) tax policy for reducing obesity-related cancer in the U.S. A probabilistic cohort state-transition model, the Diet Cancer Outcome Model (DiCOM), was used to project the effect of a national $0.01 per ounce SSB excise tax on 13 obesity-associated cancers among U.S. adults age 20 and older over their lifetime. Cost-effectiveness was evaluated using both government affordability and societal perspectives. Results showed…
Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Government/Law | 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