Resources Repository
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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…
Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | North America | Health Systems | Priority Setting/Ethics | Health Outcomes | 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 | Cost-Effectiveness Analysis | State-Transition | North America | Health Systems | Test Performance | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | 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.
Evidence Synthesis | Mathematical Models | Cost-Effectiveness Analysis | North America | Health Systems | Preferences/Values | Decision Analysis | Chronic Disease/Risk | Mental Health | Social Determinants | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
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…
Evidence Synthesis | Mathematical Models | Calibration/Validation | North America | Health Systems | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
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…
Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | North America | Health Systems | Preferences/Values | Health Outcomes | Test Performance | Chronic Disease/Risk | Clinical Care | Health/Medicine | Science/Technology -
Lesson/ModuleVideo, Teaching Resource 2018An Overview of Decision Analysis
This video is intended to provide high-level overview of the field of decision analysis and …
This video is intended to provide high-level overview of the field of decision analysis and presents topics that include: why engage in decision analysis; what are the differences between cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and budget impact analysis; and different ways to conduct a decision analysis – such as modeling or measuring alongside a clinical trial. This video is part of the Conducting Cost-Effectiveness Analysis with VA Data (HCEA) free course offered by the…
Mathematical Models | Cost-Effectiveness Analysis | North America | Health Systems | Decision Analysis | Health/Medicine | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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.…
Cost-Effectiveness Analysis | Europe | North America | Health Systems | Preferences/Values | Health Outcomes | Decision Analysis | Chronic Disease/Risk | Economics/Finance | Health/Medicine -
DataWeb Portal 2024Healthcare Cost and Utilization Project (HCUP)
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in …
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in the United States, including information on in-patient care, ambulatory care, and emergency department visits. HCUP enables researchers, insurers, policymakers and others to study health care delivery and patient outcomes over time, and at the national, regional, State, and community levels. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form of online, searchable…
Evidence Synthesis | Cost-Effectiveness Analysis | North America | Health Systems | Costing Methods | Health Outcomes | Test Performance | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology -
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.
Evidence Synthesis | Mathematical Models | North America | Health Systems | Health Outcomes | Decision Analysis | Policy/Regulation | Health/Medicine