Resources Repository
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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 | Mathematical Models | Decision Analysis | State-Transition | Microsimulation | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Dynamic Simulation | Mathematical Models | Decision Analysis | Costing Methods | Health Outcomes | Value of Information | State-Transition | Dynamic Transmission | Microsimulation | Calibration/Validation | Infectious Diseases | Health/Medicine -
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 | Decision Analysis | North America -
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…
Mathematical Models | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Using Fire in Forest Management: Decision Making under Uncertainty
This self-directed tutorial is for a decision analytic model related to the execution and management …
This self-directed tutorial is for a decision analytic model related to the execution and management of prescribed burns within forests. This tutorial builds upon the work of the publication: Cohan D, Haas SM, Radloff DL, Yancik RF. Using Fire in Forest Management: Decision Making Under Uncertainty. Interfaces 1984; 14 (5): 8-19. Not open access. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick…
Mathematical Models | Decision Analysis | Environmental Health | Climate/Environment | Graduate | Doctoral | Professional -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Mathematical Models | Operations Research | Chronic Disease/Risk | Health/Medicine | North America -
ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Mathematical Models | Decision Analysis | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Global -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Mathematical Models | Decision Analysis | Health Systems | Government/Law | Health/Medicine | Global -
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 | Priority Setting/Ethics | Infectious Diseases | Health/Medicine | North America | Professional | Policy Translation