Resources Repository
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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,…
Mathematical Models | Operations Research | North America | Priority Setting/Ethics | Infectious Diseases | Health/Medicine | Professional | Policy Translation -
Lesson/ModuleVideo, Teaching Resource 2018Medical Decision Making and Decision Analysis
This video is intended to provide an introduction to decision analysis in the context of …
This video is intended to provide an introduction to decision analysis in the context of medicine and public health and includes a discussion of the goals and elements of a decision analysis, introduces the concept of decision trees, and highlights how Markov models can be used to consider more complex disease decisions. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the U.S. Department of Veterans Affairs…
Mathematical Models | State-Transition | North America | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
Microsimulation | State-Transition | North America | Test Performance | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | Global -
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 | Mathematical Models | North America | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Social Determinants | Policy/Regulation | Economics/Finance | Food/Agriculture | Health/Medicine -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Mathematical Models | Calibration/Validation | North America | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Microsimulation | Calibration/Validation | North America | Chronic Disease/Risk | Social Determinants | Culture/Society | Health/Medicine -
ArticlePublication 2010Empirically Evaluating Decision-Analytic Models
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors …
To augment model credibility, evaluation via comparison to independent, empirical studies is recommended. The authors developed a structured reporting format for model evaluation and conducted a structured literature review to characterize current model evaluation recommendations and practices. As an illustration, they applied the reporting format to evaluate a microsimulation of human papillomavirus and cervical cancer. The model's outputs and uncertainty ranges were compared with multiple outcomes from a study of long-term progression from high-grade precancer…
Microsimulation | Calibration/Validation | North America | Infectious Diseases | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Microsimulation | Calibration/Validation | North America | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Mathematical Models | North America | Decision Analysis