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 | Chronic Disease/Risk | Health Outcomes | Mathematical Models | Social Determinants | North America -
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 | Chronic Disease/Risk | Health Outcomes | Microsimulation | Social Determinants | North America -
ArticlePublication 2021Impact of COVID-19 on Cancer Diagnosis and Survival in Chile
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in …
This paper estimates the impact of the COVID-19 pandemic on delays in cancer diagnosis in Chile, using a microsimulation model of five cancers: breast, cervix, colorectal, prostate, and stomach. The model simulates cancer incidence and progression, as well as stage-specific cancer detection and survival probabilities, and was calibrated to empirical data on monthly detected cases, stage at diagnosis, and 5-year net survival. The analysis accounted for the impact of COVID-19 on month-by-month excess mortality and…
Calibration/Validation | Chronic Disease/Risk | Health Outcomes | Microsimulation | Infectious Diseases | Latin America & Caribbean -
ArticlePublication 2021BMI-Related Healthcare Costs in the U.S.
This paper estimates continuous body mass index (BMI) related health care expenditures using data from …
This paper estimates continuous body mass index (BMI) related health care expenditures using data from the Medical Expenditure Panel Survey (MEPS) 2011-2016, adjusting BMI for self-report bias and controlling for potential confounding between BMI and medical expenditures. Costs are reported in $US 2019. The analysis found a J-shaped curve of medical expenditures by BMI, with higher costs for females and the lowest expenditures occurring at a BMI of 20.5 for adult females and 23.5 for…
Chronic Disease/Risk | Costing Methods | Child/Nutrition | North America -
ArticlePublication 2022Duration & Cost-Effectiveness of Hepatocellular Carcinoma Surveillance in Hepatitis C Patients After Viral Eradication
This study assesses the cost-effectiveness of biannual surveillance for hepatocellular carcinoma (HCC) in patients cured …
This study assesses the cost-effectiveness of biannual surveillance for hepatocellular carcinoma (HCC) in patients cured of hepatitis C virus (HCV) using oral direct-acting antivirals (DAAs). A microsimulation model of HCC natural history in individuals with HCV-related advanced fibrosis or cirrhosis post-DAAs was developed, integrating data on HCC incidence, tumor progression, surveillance adherence, and health state costs/utilities. Biannual ultrasound and alpha-fetoprotein surveillance were compared to no surveillance over varying durations (5 years to lifetime). Results indicate…
Health/Medicine | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | North America -
ArticlePublication 2022Cost-Effectiveness & Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes …
This study compares machine learning (ML)-based metamodels with conventional metamodeling approaches in replicating the outcomes of a complex simulation model of hepatitis C virus (HCV) natural history. Three ML-based metamodels (random forest, support vector regression, and artificial neural networks) and a linear regression-based metamodel were developed from the simulation model's 40 input parameters. Performance evaluation included root mean squared error (RMSE) and Pearson's R2 on normalized data. ML-based metamodels generally outperformed linear regression, with random…
Health/Medicine | Chronic Disease/Risk | Mathematical Models | Infectious Diseases -
ArticlePublication 2022Cost-Effectiveness of Screening for Atrial Fibrillation Using Wearable Devices
This economic evaluation assesses the cost-effectiveness of atrial fibrillation (AF) screening strategies, particularly utilizing wrist-worn …
This economic evaluation assesses the cost-effectiveness of atrial fibrillation (AF) screening strategies, particularly utilizing wrist-worn wearable devices, to prevent strokes. Conducted using a microsimulation decision-analytic model, the study spans from September 8, 2020, to May 23, 2022, incorporating 30 million simulated individuals representative of the US population aged 65 years or older. Eight screening strategies, including six employing wrist-worn devices and two using traditional methods, were compared against no screening. Results indicate that all wrist-worn…
Health/Medicine | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | North America -
ArticlePublication 2020Infectious Disease Pandemic Planning and Response: Incorporating Decision Analysis
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in …
During a pandemic, decisions must be made under rapidly changing, uncertain conditions. Despite advances in analytical methods for gaining early situational awareness (i.e., of a disease’s transmissibility and severity) and for predicting the likely effectiveness of interventions, a major gap exists globally in terms of integrating this information in policy documents. The authors argue that mathematical and statistical models are important tools for pandemic planning and response. Once an outbreak of pandemic potential has been…
Health/Medicine | Health Systems | Mathematical Models | Decision Analysis | Government/Law | Global -
ArticlePublication 2021Cost-Effectiveness of Hypertension Treatment by Pharmacists in Black Barbershops
The Los Angeles Barbershop Blood Pressure Study (LABBPS) examined the effectiveness and cost of a …
The Los Angeles Barbershop Blood Pressure Study (LABBPS) examined the effectiveness and cost of a one-year pharmacist-led hypertension care intervention in Black-owned barbershops in Los Angeles County, focused on non-Hispanic Black men with uncontrolled hypertension. Using a discrete event simulation, the researchers projected the 10-year health outcomes and health care costs associated with the intervention compared to a control group. The costs and quality-adjusted life-years (QALYs) were calculated from a health care sector perspective, with…
Health/Medicine | Chronic Disease/Risk | Mathematical Models | Cost-Effectiveness Analysis | Clinical Care | North America