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…
Test Performance | Clinical Care | Probability/Bayes | Infectious Diseases | 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…
Test Performance | Clinical Care | Probability/Bayes | Infectious Diseases | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
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 Outcomes | Clinical Care | Preferences/Values | Priority Setting/Ethics | Health Systems | Health/Medicine -
ArticlePublication 2019Cost-Effectiveness of Community-Based Childhood Obesity Prevention Interventions in Australia
This study examined the cost-effectiveness of community-based obesity prevention interventions (CBIs) consisting of strategies to …
This study examined the cost-effectiveness of community-based obesity prevention interventions (CBIs) consisting of strategies to promote healthy eating and physical activity for Australian children aged between 5-18 years. A multiple cohort Markov model that simulates diseases associated with overweight and obesity was used to estimate the health benefits, measured as health-adjusted life years (HALYs) and healthcare-related cost offsets from diseases averted due to exposure to the intervention. Health and cost outcomes were estimated over the…
Health Outcomes | Clinical Care | State-Transition | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Health Systems | Food/Agriculture | Health/Medicine | Oceania -
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 | Clinical Care | Evidence Synthesis | Health Systems | 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…
Test Performance | Clinical Care | Probability/Bayes | Health/Medicine -
ReportPublication 2018Understanding the Economics of Microbial Threats: Proceedings of a Workshop
This report follows a June 2018, Forum on Microbial Threats that was held at the …
This report follows a June 2018, Forum on Microbial Threats that was held at the National Academies of Sciences, Engineering, and Medicine. This was a 1.5-day public workshop with the goal being an assessment of the current understanding of the interaction of infectious disease threats and economic activity in order to suggest future areas of research. This workshop built on prior work of the Forum and aimed to build more mutual understanding between those in…
Health Outcomes | Clinical Care | Evidence Synthesis | Technology Assessment | Infectious Diseases | Policy/Regulation | Global Governance | Business/Industry | Economics/Finance | Health/Medicine | Global -
Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Cervical Cancer Models
This resource pack, curated by the Center for Health Decision Science, is a collection of …
This resource pack, curated by the Center for Health Decision Science, is a collection of models of HPV-related cervical cancer, differing in design, structure and features based on analytic objectives. In many ways, HPV and its related diseases represent a prototypical public health problem given the communicable and non-communicable nature of disease, opportunities for intervention along the entire disease spectrum (e.g., primary and secondary prevention, diagnosis, treatment), the varied ages at which interventions are targeted…
Dynamic Simulation | Clinical Care | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Business/Industry | Economics/Finance | Health/Medicine | Science/Technology | Global -
ReportPublication 2013Decision and Simulation Modeling Alongside Systematic Reviews
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks …
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine and the proliferation of systematic reviews. It describes the types of model available…
Dynamic Simulation | Clinical Care | Evidence Synthesis | State-Transition | Dynamic Transmission | Microsimulation | Health Systems | Health/Medicine