Resources Repository
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ArticlePublication 2019Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories …
This analysis estimates state-specific and demographic subgroup-specific trends and projections of the prevalence of categories of body-mass index (BMI) in the United States. Self-reported BMI from the Behavioral Risk Factor Surveillance System Survey (1993-1994 and 1999-2016) were obtained and corrected for quantile-specific self-reporting bias. Multinomial regressions were then fitted for each state and subgroup to estimate the prevalence of four BMI categories from 1990 through 2030: underweight or normal weight (BMI <25), overweight (25 to…
Calibration/Validation | Social Determinants | North America | Health Outcomes | Mathematical Models | Chronic Disease/Risk -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | Social Determinants | North America | Health Outcomes | Microsimulation | Chronic Disease/Risk -
EditorialPublication 2020Waiting for Certainty on COVID-19 Antibody Tests — At What Cost?
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation …
This perspective anticipates the availability of serologic antibody testing and considers its potential usefulness in mitigation policy to reduce COVID-19 transmission. For example: Could we screen for serologic antibodies as a proxy for possible immunity and identify people who could return to the workplace with less severe mitigation measures? The authors acknowledge the uncertainties raised by many policy actors, including the WHO, such as, "Do antibodies confer immunity and, if so, for how long? How accurate is…
Probability/Bayes | North America | Health Systems | Test Performance | Technology Assessment | Infectious Diseases | Policy/Regulation | Government/Law | 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…
Probability/Bayes | North America | Health Systems | Test Performance | Value of Information | Chronic Disease/Risk | Health/Medicine | Europe | High School | College | Graduate | Doctoral | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
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 | North America | Health Systems | Evidence Synthesis | Mathematical Models | 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…
Calibration/Validation | North America | Health Systems | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | 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.…
Probability/Bayes | North America | Health Systems | Health Outcomes | Test Performance | Value of Information | 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…
Probability/Bayes | North America | Health Systems | Preferences/Values | Costing Methods | Health Outcomes | Test Performance | 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 -
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 | Social Determinants | North America | Microsimulation | Chronic Disease/Risk | Culture/Society | Health/Medicine