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…
Decision Theory | Clinical Care | Decision Psychology | Probability/Bayes | Preferences/Values | Chronic Disease/Risk | Business/Industry | Economics/Finance | Health/Medicine | High School | College | 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…
Mathematical Models | Clinical Care | Probability/Bayes | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional -
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…
Mathematical Models | Clinical Care | Probability/Bayes | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Evidence Synthesis | Mathematical Models | Clinical Care | Costing Methods | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Health/Medicine | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Mathematical Models | Clinical Care | Priority Setting/Ethics | Health Systems | Health/Medicine | North America -
Resource PackPublication, Teaching Resource 2021Resource Pack: Role of Heuristics in Avalanche Education
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals …
Making decisions about backcountry skiing requires one to predict, manage, and mitigate avalanche risk. Individuals need to understand and be comfortable with the language of probability, as well as appreciate the cognitive biases that can come into play in the context of decision making. This collection includes articles that range from early attempts to identify “heuristic traps,” based on a retrospective analysis of avalanche accidents in the United States more than 20 years ago, to…
Injuries/Accidents | Decision Psychology | Probability/Bayes | Climate/Environment | Culture/Society | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership -
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.
Clinical Care | Preferences/Values | Priority Setting/Ethics | Health Outcomes | Health Systems | Health/Medicine -
ArticlePublication 2020Weighing Evidence to Inform Clinical Decisions
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced …
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced that conflicts with existing guidelines. Even when evidence is consistent, the authors point out that current guidelines can have interpretations that don't agree with available evidence. They develop a step-wise algorithm to help guide individual clinical decisions even in the absence of general consensus related to appropriate testing and treatment.
Evidence Synthesis | Clinical Care | Priority Setting/Ethics | Health/Medicine -
ReportPublication 2015DCP3: Essential Surgery
This report from the World Bank is the first volume of the Disease Control Priorities, …
This report from the World Bank is the first volume of the Disease Control Priorities, Third Edition (DCP3) series. Essential Surgery presents data on the surgical burden of disease, disability, congenital abnormalities, and trauma, as well as the health impact and economic analysis of procedures. This report identifies 44 procedures that address substantial needs, are cost effective, and are feasible to implement in low- and middle-income countries. If made universally available, these 44 procedures could…
Evidence Synthesis | Injuries/Accidents | Clinical Care | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Global Governance | Economics/Finance | Health/Medicine | Science/Technology | Global