Resources Repository
-
ArticlePublication 2021Health Opportunity Cost Threshold for CEA in the U.S.
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, …
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, the authors simulated the short-term mortality and morbidity resulting from increased premium related cancelation of insurance coverage. The authors used this model to estimate cost-effectiveness thresholds, in dollars per quality-adjusted life year (QALY) gained based on health opportunity costs. They reported the number of persons who dropped insurance coverage, resulting number of additional deaths and QALYs lost from mortality and…
Microsimulation | North America | Health Systems | Priority Setting/Ethics | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine -
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 | North America | Health Systems | Test Performance | State-Transition | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Global -
Teaching PackWeb Portal, Teaching Resource 2018Teaching Pack: Teaching Prototypes for Decision Analysis
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for …
These videos, developed by Professor Myriam Hunink during an immersion residency at the Center for Health Decision Science (CHDS) Media Hub, reflect experiments to augment brick and mortar teaching with multimedia materials that emphasize visualization of basic concepts. The first video introduces decision making under uncertainty, and illustrates the use of probability and odds to quantitatively express uncertainty. The second and third videos introduce probability revision visually and analytically, showing how an initial probability is…
Value of Information | North America | Health Systems | Probability/Bayes | Test Performance | Chronic Disease/Risk | Health/Medicine | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
OrganizationWeb Portal 2024Institute for Clinical and Economic Review (ICER)
ICER is a non-profit organization that evaluates evidence on a range of topics including the value …
ICER is a non-profit organization that evaluates evidence on a range of topics including the value of medical tests, treatments and delivery system innovations and moves that evidence into action to improve the health care system. To accomplish this goal ICER performs analyses on effectiveness and costs, supports specific programs, and develops reports using innovative methods that make it easier to translate evidence into decisions that can align efforts to use evidence to drive improvements in both…
Value of Information | North America | Health Systems | Preferences/Values | Priority Setting/Ethics | Evidence Synthesis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Chronic Disease/Risk | Mental Health | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | Science/Technology | 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…
Microsimulation | North America | Health Systems | Mathematical Models | State-Transition | Dynamic Simulation | Decision Analysis | Chronic Disease/Risk | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Microsimulation | North America | Health Systems | Preferences/Values | Health Outcomes | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Microsimulation | North America | Health Systems | Costing Methods | Evidence Synthesis | Mathematical Models | Calibration/Validation | Chronic Disease/Risk | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
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.…
Value of Information | North America | Health Systems | Probability/Bayes | Health Outcomes | Test Performance | Health/Medicine -
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…
Value of Information | North America | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Economics/Finance | Government/Law | Health/Medicine | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy