Resources Repository
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Resource PackPublication, Teaching Resource 2017Resource Pack: Disease Control Priorities
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced …
This resource pack, curated by the Center of Health Decision Science, showcases selected analyses produced by the Disease Control Priorities 3 (DCP3) to inform program design and resource allocation at the global and country levels. Analyses focus on the effectiveness, cost, and cost-effectiveness of priority interventions. Learn more by visiting the DCP3 website.
Evidence Synthesis | Costing Methods | Health/Medicine | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Economics/Finance | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Evidence Synthesis | Health/Medicine | Preferences/Values | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Tutorial/PrimerPublication, Teaching Resource 2015Economic Evaluations with Agent-Based Modelling: An Introduction
This tutorial presents the basic concepts and important features of agent-based models, and provides a …
This tutorial presents the basic concepts and important features of agent-based models, and provides a case study of a simple cost effectiveness analysis of screening for an infectious disease. Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide…
Dynamic Simulation | Health/Medicine | Mathematical Models | Infectious Diseases | Graduate | Doctoral | Professional | Conceptual Mapping | Quantitative Literacy -
Resource PackPublication, Teaching Resource 2024Resource Pack: Extended Cost-Effectiveness Analysis
Health policies are intended to increase the uptake of effective and efficient interventions and result …
Health policies are intended to increase the uptake of effective and efficient interventions and result in health gains (e.g., premature mortality and morbidity averted). Health policies can also provide non-health benefits in addition to the sole well-being of populations and beyond the health sector. For instance, social and health insurance programs can prevent illness-related impoverishment and provide financial risk protection. Health policies can also improve the distribution of health in the population and promote health…
Costing Methods | Health/Medicine | Priority Setting/Ethics | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Culture/Society | Economics/Finance | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Health/Medicine | Probability/Bayes | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: CEA of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies …
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. This tutorial is based on the publication: Benamouzig R, Barré S, Saurin J-C et al. Cost-Effectiveness Analysis of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. Therapeutic Advances in Gastroenterology 2021; 14. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick Innovation Fund, established with…
Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Introduction to Programming Decision Trees
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate …
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate three initial management strategies for ductal carcinoma in situ (DCIS) based on a published analysis: Soeteman DI, Stout NK, Ozanne EM et al. Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ. J Natl Cancer Inst 2013; 105 (11): 774-781. The tutorial describes how to build the model structure, parameterize the model probabilities and outcomes based on…
Health/Medicine | Mathematical Models | Decision Analysis | Clinical Care | Graduate | Doctoral | Professional -
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 -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Health/Medicine | Priority Setting/Ethics | Mathematical Models | Operations Research | Infectious Diseases | North America | Professional | Policy Translation