Resources Repository
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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 | Test Performance | Health Outcomes | North America | Health Systems | Chronic Disease/Risk | Preferences/Values | Microsimulation | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine | Science/Technology -
ArticlePublication 2016Quality Improvement for Cardiovascular Disease Care in Low- and Middle-Income Countries: A Systematic Review
The majority of global cardiovascular disease (CVD) burden falls on people living in low- and …
The majority of global cardiovascular disease (CVD) burden falls on people living in low- and middle-income countries (LMICs). As part of the Disease Control Priorities Three (DCP3) Study efforts addressing quality improvement, the authors reviewed and summarized currently available evidence on interventions to improve quality of clinic-based CVD prevention and management in LMICs. Using a narrative review of published comparative clinical trials that evaluated efficacy or effectiveness of clinic-based CVD prevention and management quality improvement…
Evidence Synthesis | Health Outcomes | Sub-Saharan Africa | Health Systems | Chronic Disease/Risk | Health/Medicine | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
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 | Health Outcomes | North America | Health Systems | Priority Setting/Ethics | Microsimulation | 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…
Test Performance | North America | Health Systems | Chronic Disease/Risk | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Economics/Finance | Health/Medicine | Global -
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 | Health Outcomes | North America | Health Systems | Mathematical Models | Decision Analysis | Policy/Regulation | Health/Medicine -
BookPublication 2016Cost-Effectiveness Analysis in Health: A Practical Approach, 3rd Edition
Cost-Effectiveness Analysis in Health provides an introduction to the tools, methods, and procedures used to perform cost-effectiveness research. …
Cost-Effectiveness Analysis in Health provides an introduction to the tools, methods, and procedures used to perform cost-effectiveness research. This third edition contains new discussion on meta-analysis and advanced modeling techniques, a worked example using visual modeling software TreeAge Pro, and updated recommendations from the U.S. Public Health Service's Panel on Cost-Effectiveness in Health and Medicine. The book provides process-specific instruction in a concise, structured format to highlight common methods and techniques for: 1) Developing a thoroughly fleshed-out research project; 2) Working…
Evidence Synthesis | Health Outcomes | North America | Health Systems | Preferences/Values | Costing Methods | Cost-Effectiveness Analysis | Technology Assessment | Policy/Regulation | Economics/Finance | 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…
Evidence Synthesis | North America | Health Systems | Chronic Disease/Risk | Mathematical Models | Calibration/Validation | 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…
Evidence Synthesis | North America | Health Systems | Chronic Disease/Risk | Costing Methods | Mathematical Models | Microsimulation | Calibration/Validation | Policy/Regulation | Clinical Care | Economics/Finance | 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…
Test Performance | Health Outcomes | North America | Health Systems | Probability/Bayes | Preferences/Values | Costing Methods | Value of Information | 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