Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Preferences/Values | Probability/Bayes | Decision Psychology | Decision Theory | Clinical Care | Chronic Disease/Risk | Business/Industry | Economics/Finance | Health/Medicine | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Dynamic Simulation | Microsimulation | Decision Analysis | Environmental Health | Mathematical Models | State-Transition | Chronic Disease/Risk | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
Working PaperPublication 2015Benefit-Cost Analysis and the Cities
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions …
This paper provides a short introduction to the use of benefit-cost analysis to assess interventions undertaken at the city or municipal level. It introduces the concepts that underlie the conduct of benefit-cost analysis, describes the major analytic components, and discusses how to tailor the analysis to the characteristics of the policy and the resources available. It concludes with a list of references for those interested in learning more.
Priority Setting/Ethics | Preferences/Values | Decision Analysis | Environmental Health | Benefit-Cost Analysis | Social Determinants | Policy/Regulation | Climate/Environment | Culture/Society | Economics/Finance | Government/Law | North America | Critical Thinking/Analysis -
GuidelinesPublication 2014EPA Guidelines for Preparing Economic Analyses
The US Environmental Protection Agency (EPA) Guidelines for Preparing Economic Analyses provide a framework for …
The US Environmental Protection Agency (EPA) Guidelines for Preparing Economic Analyses provide a framework for assessing the impacts of environmental regulations and policies that has been extensively peer-reviewed and is widely-applied both within and outside of the agency. The Guidelines discuss: (1) statutory and executive order requirements for conducting economic analyses; (2) identifying the need for policy action; (3) regulatory and non-regulatory approaches to pollution control; (4) baseline definition; (5) discounting future benefits and costs;…
Priority Setting/Ethics | Preferences/Values | Decision Analysis | Environmental Health | Benefit-Cost Analysis | Policy/Regulation | Climate/Environment | Government/Law | North America | Critical Thinking/Analysis -
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…
Probability/Bayes | Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Cost-Effectiveness of Screening and Treatment for Hypertension
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, …
Hypertension is a relevant example for teaching clinical decision making, diagnostic test performance, positivity criterion, and cost-effectiveness analysis. This resource pack provides examples of decision analyses and cost-effectiveness analyses for the management and treatment of hypertension, with a predominant focus on the U.S. Analyses are included that predate the 2017 American College of Cardiology/American Heart Association Clinical Practice Guidelines, along with more recent examples that followed release of the guidelines. Resources are also included that…
Preferences/Values | Decision Analysis | Clinical Care | Test Performance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Policy Translation | Quantitative Literacy -
ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Probability/Bayes | Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Priority Setting/Ethics | Microsimulation | Clinical Care | Health Outcomes | Child/Nutrition | Chronic Disease/Risk | Global -
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.
Priority Setting/Ethics | Preferences/Values | Clinical Care | Health Outcomes | Health Systems | Health/Medicine