Resources Repository
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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 | Government/Law | Health/Medicine | Health Systems | Decision Analysis | Global -
Tools/ModelsPublication, Teaching Resource 2017Publicly Available Software Tools for Decision-Makers During an Emergent Epidemic
Epidemics and emerging infectious diseases are becoming an increasing threat to global populations-challenging public health …
Epidemics and emerging infectious diseases are becoming an increasing threat to global populations-challenging public health practitioners, decision makers and researchers to plan, prepare, identify and respond to outbreaks in near real-timeframes. The aim of this research is to evaluate the range of public domain and freely available software epidemic modelling tools. Twenty freely utilizable software tools underwent assessment of software usability, utility and key functionalities. Stochastic and agent based tools were found to be highly…
Mathematical Models | Health/Medicine | Science/Technology | Health Systems | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Climate/Environment | Global | Graduate | Doctoral | Professional | Quantitative Literacy -
ArticlePublication 2017Policy Makers, the International Community and the Population: Case Study on HIV/AIDS
A four-period game is developed between a policy maker, the international community, and the population. …
A four-period game is developed between a policy maker, the international community, and the population. This research supplements, through implementing strategic interaction, earlier research analyzing "one player at a time." The first two players distribute funds between preventing and treating diseases. The population reacts by degree of risky behavior which may cause no disease, disease contraction, recovery, sickness/death. More funds to prevention implies less disease contraction but higher death rate given disease contraction. The cost…
Mathematical Models | Government/Law | Health/Medicine | Health Systems | Decision Psychology | Priority Setting/Ethics | Infectious Diseases | Global Governance | Economics/Finance | 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.
Mathematical Models | Government/Law | Health/Medicine | Health Systems | Preferences/Values | Evidence Synthesis | Decision Analysis | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Policy/Regulation | Economics/Finance | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
GuidelinesPublication 2016Estimating Health-State Utility for Economic Models: ISPOR Task Force Report
Cost-utility models are increasingly used in many countries to establish whether the cost of a …
Cost-utility models are increasingly used in many countries to establish whether the cost of a new intervention can be justified in terms of health benefits. Health-state utility (HSU) estimates (the preference for a given state of health on a cardinal scale where 0 represents dead and 1 represents full health) are typically among the most important and uncertain data inputs in cost-utility models. Clinical trials represent an important opportunity for the collection of health-utility data.…
Mathematical Models | Health/Medicine | Science/Technology | Health Systems | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Technology Assessment | North America | Europe -
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…
Mathematical Models | Government/Law | Health/Medicine | Health Systems | State-Transition | Microsimulation | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | North America -
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 | Health/Medicine | Science/Technology | Health Systems | Evidence Synthesis | Calibration/Validation | Chronic Disease/Risk | Clinical Care | North America -
ReportPublication 2015Chapter 4: Cervical Cancer
This chapter focuses on the possibility of primary prevention of cervical cancer as a result …
This chapter focuses on the possibility of primary prevention of cervical cancer as a result of the introduction of two commercially available vaccines against human papillomavirus (HPV). Few low- and middle-income countries (LMICs) have initiated or sustained cytology-based cervical cancer prevention programs, and these countries experience very high incidence and mortality rates. Fortunately, alternative strategies to prevent cervical cancer have been investigated and extensively evaluated in these settings. The authors report findings from cost-effectiveness analyses…
Mathematical Models | Health/Medicine | Science/Technology | Health Systems | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Global -
BookPublication 2014Decision Making in Health and Medicine: Integrating Evidence and Values
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and …
Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing…
Mathematical Models | Government/Law | Health/Medicine | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy