Resources Repository
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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…
Test Performance | Health/Medicine | Probability/Bayes | Infectious Diseases | Clinical Care | 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…
Test Performance | Health/Medicine | Probability/Bayes | Infectious Diseases | Science/Technology | Global -
ArticlePublication 2020Translating Population Evidence to Individual Patients
In this paper, the authors describe the differences in population level outcomes compared to individual …
In this paper, the authors describe the differences in population level outcomes compared to individual patients and discuss ways that these are differences. The authors cover topics including the difference between relative and absolute risk and benefit. They use an example of the decision to start anticoagulation in new-onset atrial fibrillation to discuss translating population level evidence to treatment of an individual. These options include generalizability, subgroup analysis, prediction rules, following response to therapy, and even…
Test Performance | Health/Medicine | Evidence Synthesis | Health Systems | Clinical Care -
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…
Test Performance | Health/Medicine | Probability/Bayes | 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 -
ArticlePublication 2013Agent-Based Simulation Modelling Approach to ECEA of Health Interventions
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, …
This study develops a dynamic agent-based simulation model, the Disease Control Priorities Simulation (DCPSim) model, to estimate the health and economic benefits of health interventions and policies. Authors examined two different policies that can scale up the availability of drugs for secondary prevention of acute myocardial infarction (AMI) in India: a universal public provision (UPP) that provides a drug for free at public health facilities, and a universal public finance (UPF) that provides a drug…
Dynamic Simulation | Health/Medicine | Priority Setting/Ethics | Cost-Effectiveness Analysis | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Asia & Pacific -
ArticlePublication 2019Measuring Progress Towards Universal Health Coverage
This article, published in BMJ Global Health, aims to estimate the 2015 national and subnational …
This article, published in BMJ Global Health, aims to estimate the 2015 national and subnational universal health coverage (UHC) service coverage status for Ethiopia. The UHC service coverage index is constructed from the geometric means of component indicators: first, within each of four major categories and then across all components to obtain the final summary index. The authors estimate UHC service coverage at the subnational level using a variety of surveys and routinely collected administrative…
Test Performance | Health/Medicine | Health Systems | Sub-Saharan Africa -
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…
Decision Analysis | Health/Medicine | Preferences/Values | Priority Setting/Ethics | 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…
Decision Analysis | Health/Medicine | Preferences/Values | Priority Setting/Ethics | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Economics/Finance | Government/Law | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis