Resources Repository
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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…
Decision Analysis | Health Systems | Value of Information | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Mathematical Models | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | North America | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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…
Decision Analysis | Health Systems | Mathematical Models | Government/Law | Health/Medicine | Global -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Cost-Effectiveness Analysis III
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis III, students are introduced to the …
In this teaching pack on Economic Evaluation: Cost-Effectiveness Analysis III, students are introduced to the different types of costs that are included in a cost-effectiveness analysis and learn how the perspective of the analysis helps to determine which costs would be included. Additionally, students learn the three basic steps to costing, identifying costs, measuring costs, and valuing costs, and become familiar with the recommendations of both the original and the more recent Panel on Cost-Effectiveness…
Decision Analysis | Health Systems | Costing Methods | Evidence Synthesis | Cost-Effectiveness Analysis | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
ArticlePublication 2017Estimating the Fitness Cost and Benefit of Cefixime Resistance in Neisseria Gonorrhoeae
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more …
Gonorrhoea is one of the most common bacterial sexually transmitted infections in England, and more than half of annual infections occur in men who have sex with men (MSM). As the bacterium has developed resistance to each first-line antibiotic in turn, an improved understanding is needed of fitness benefits and costs of antibiotic resistance to inform control policy and planning. The authors developed a stochastic compartmental model representing the natural history and transmission of cefixime-sensitive…
Decision Analysis | Health Systems | Dynamic Transmission | Risk Analysis | Infectious Diseases | Policy/Regulation | Government/Law | Health/Medicine | Science/Technology | Global -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Decision Analysis | Health Systems | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine | North America | Europe -
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 | Health Systems | Preferences/Values | Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | 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 Systems | Health Outcomes | Evidence Synthesis | Mathematical Models | Policy/Regulation | Health/Medicine | 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 | Health Systems | Mathematical Models | State-Transition | Microsimulation | Dynamic Simulation | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
ReportPublication 2015Improving Diagnosis in Health Care
Getting the right diagnosis is a key aspect of health care - it provides an …
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. This report, Improving Diagnosis in Health Care, explains that diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients.…
Health Systems | Value of Information | Probability/Bayes | Health Outcomes | Test Performance | Health/Medicine | North America