Resources Repository
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ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Calibration/Validation | Health/Medicine | North America | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Graduate -
ArticlePublication 2018Should We Treat Acute Hepatitis C? A Decision and Cost-Effectiveness Analysis
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared …
This study examines the potential benefits of treating acute hepatitis C virus (HCV) infection compared to deferring treatment until the chronic phase, utilizing a microsimulation model. By projecting long-term outcomes such as quality-adjusted life years (QALYs) and costs, the analysis evaluates the cost-effectiveness of initiating therapy during the acute phase. Results indicate that treating acute HCV increases QALYs by 0.02 and costs by $483 per patient not at risk of transmitting HCV, yielding an incremental…
Decision Analysis | Health/Medicine | North America | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk -
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…
Calibration/Validation | Health/Medicine | North America | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | 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…
Calibration/Validation | Health/Medicine | North America | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance -
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/Medicine | North America | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | Mathematical Models | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Government/Law | Global | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2014Cost of a Primary Care-Based Childhood Obesity Prevention Intervention
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for …
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for Kids) for children ages 2-6 years, compared to usual care. U.S. pediatric guidelines recommend that childhood obesity counseling be done in primary care settings. The clinical trial aimed to modify children’s nutrition and TV viewing habits through a motivational interviewing intervention. The authors assessed the visit-related costs for children enrolled in the trial, and found that the mean costs for…
Decision Analysis | Health/Medicine | North America | Costing Methods | Child/Nutrition | Chronic Disease/Risk | Clinical Care | Economics/Finance -
BookPublication 2013Medical Decision Making
This new edition of Medical Decision Making provides a review of the key decision making infrastructure …
This new edition of Medical Decision Making provides a review of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. Targeted to clinicians interested in medical decision making, it demonstrates how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice…
Decision Analysis | Health/Medicine | North America | Probability/Bayes | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | Value of Information | State-Transition | Cost-Effectiveness Analysis | Economics/Finance | Europe | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
BookPublication 2013Making Hard Decisions with Decision Tools, 3rd Edition
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas …
Making Hard Decisions with Decision Tools® is a new edition and teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version has been purposefully written to be more relevant to students in business and engineering compared to previous versions. This new version also incorporates and implements the powerful DecisionTools® software by Palisade Corporation. At the end of each chapter, topics are illustrated with step-by-step instructions…
Decision Analysis | Health/Medicine | North America | Probability/Bayes | Preferences/Values | Test Performance | Value of Information | Microsimulation | Policy/Regulation | Business/Industry | Energy/Engineering | Military/Defense | Science/Technology | Global | Europe -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Calibration/Validation | Health/Medicine | North America | Microsimulation | Chronic Disease/Risk | Social Determinants | Culture/Society