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…
Probability/Bayes | Decision Psychology | Clinical Care | Decision Theory | 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 -
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…
Microsimulation | Clinical Care | Child/Nutrition | Priority Setting/Ethics | Health Outcomes | Chronic Disease/Risk | Global -
ArticlePublication 2021Measuring the Impact of COVID-19 Vaccine Misinformation on Vaccination Intent in the U.K. and U.S.
Widespread acceptance of a vaccine for SARS-CoV-2 will be the next major step to fight …
Widespread acceptance of a vaccine for SARS-CoV-2 will be the next major step to fight the COVID-19 pandemic, but high uptake achievement will be a challenge and may be impeded by online misinformation. This article is a randomized controlled trial in the U.K. and the U.S. with the objective to quantify how exposure to online misinformation around COVID-19 vaccines affects intent to vaccinate to protect oneself or others. The authors report that in both countries…
Decision Psychology | Social Determinants | Child/Nutrition | Preferences/Values | Infectious Diseases | Culture/Society | Health/Medicine | Science/Technology | North America | Europe -
ArticlePublication 2019Countering Misinformation with Lessons from Public Health
The internet is often praised as a tool for freedom of speech, democracy, and truth. …
The internet is often praised as a tool for freedom of speech, democracy, and truth. However, the internet increasingly has become polluted by misinformation – the inadvertent spread of misleading and false information – and disinformation – the deliberate and coordinated spread of misleading and false information. Individuals online knowingly and unknowingly spread dangerous rumors and propaganda at an alarming rate, which can mislead or manipulate the worldview of those who encounter it. False information…
Decision Psychology | Social Determinants | Child/Nutrition | Preferences/Values | Infectious Diseases | Culture/Society | Health/Medicine | Science/Technology | Global | North America -
Resource PackPublication, Teaching Resource 2020Resource Pack: SSB Excise Tax Briefs (CHOICES)
Rising rates of obesity represent one of the greatest public health threats facing the United …
Rising rates of obesity represent one of the greatest public health threats facing the United States. Obesity has been linked to excess consumption of sugary drinks. Federal, state, and local governments have considered implementing excise taxes on sugary drinks to reduce consumption, reduce obesity, and provide a new source of government revenue. This resource pack includes a series of briefs describing analyses conducted by the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES), evaluating the health and economic impact…
Microsimulation | Social Determinants | Child/Nutrition | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Decision Making/Leadership | Policy Translation | Quantitative Literacy -
ArticlePublication 2017Cost-Effectiveness of Subsidizing Fruit and Vegetable through SNAP
A diet high in fruits and vegetables is associated with reduced risk of chronic disease …
A diet high in fruits and vegetables is associated with reduced risk of chronic disease - to incentivize consumption among low-income households one proposal is to make them more affordable through the Supplemental Nutrition Assistance Program (SNAP). This cost effectiveness analysis adopts a societal perspective to estimate the value of subsidizing fruit and vegetable (FV) purchases among the one in seven Americans who participate in SNAP. A stochastic microsimulation model of obesity, type 2 diabetes, myocardial infarction,…
Microsimulation | Social Determinants | Child/Nutrition | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine | North America -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Microsimulation | Social Determinants | Child/Nutrition | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Environmental Health | Economics/Finance | Energy/Engineering | Health/Medicine | Science/Technology | Asia & Pacific -
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 | Clinical Care | Mathematical Models | 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…
Probability/Bayes | Clinical Care | Mathematical Models | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional