Resources Repository
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ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Calibration/Validation | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Health Systems | Health/Medicine | Global -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Decision Analysis | Preferences/Values | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
GuidelinesPublication 2016Decision Models in Clinical Preventive Services Recommendations
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on …
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on comprehensive systematic reviews of the best available evidence. Decision models provide a complementary, quantitative approach to support the USPSTF as it deliberates about the evidence and develops recommendations for clinical and policy use. This article describes the rationale for using modeling, an approach to selecting topics for modeling, and how modeling may inform recommendations about clinical preventive services.
Decision Analysis | Health Outcomes | Evidence Synthesis | Mathematical Models | Health Systems | Policy/Regulation | Health/Medicine | North America -
ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Decision Analysis | Decision Theory | Preferences/Values | Operations Research | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
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…
Decision Analysis | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
Lesson/ModulePublication, Teaching Resource 2016Surviving the Surge
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. …
This case study explores the experiences of three Manhattan-based hospitals during Superstorm Sandy in 2012. It focuses on decisions made by each institution, as Sandy approached, about whether to shelter-in-place or evacuate hundreds of medically fragile patients, and how each of the three hospitals took a different approach, informed by differing perceptions of risk and related factors. The case will be useful for public health students and administrators in understanding decision-making in settings of an…
Decision Analysis | Risk Analysis | Injuries/Accidents | Social Determinants | Environmental Health | Business/Industry | Climate/Environment | Health/Medicine | North America | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership -
GuidelinesPublication 2016Multiple Criteria Decision Analysis
This ISPOR task force report provides an introduction to multiple criteria decision analysis (MCDA) - …
This ISPOR task force report provides an introduction to multiple criteria decision analysis (MCDA) - it defines MCDA; provides examples of its use in different kinds of decision making in health care (including benefit risk analysis, health technology assessment, resource allocation, portfolio decision analysis, shared patient clinician decision making and prioritizing patients’ access to services); provides an overview of the principal methods of MCDA; and describes the key steps involved. In 2014, ISPOR established an…
Decision Analysis | Health/Medicine -
ArticlePublication 2016“Nudges” in Law and Policy
This article describes research on Americans’ preferences for types of “nudges” in the context of …
This article describes research on Americans’ preferences for types of “nudges” in the context of law and public policy—those that target “system 1” thinking, meaning the intuitive, emotion-based mechanisms, such as graphic warnings and default rules, versus those that target “system 2” thinking, the rational, deliberative form of cognition, such as statistical information or education-based messages.
Decision Psychology | Preferences/Values | Priority Setting/Ethics | Policy/Regulation | Culture/Society | Government/Law | 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…
Calibration/Validation | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | Science/Technology | North America