Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 2023Survival Extrapolation Incorporating General Population Mortality Using Excess Hazard and Cure Models: Tutorial
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when …
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when estimating long-term survival in cost-effectiveness analyses. Using a case study of breast cancer patients, standard parametric survival models were compared with EH methods incorporating general population mortality rates, with and without a cure parameter. Results showed substantial variability in survival extrapolations across standard models, while EH methods, particularly EH cure models, significantly reduced uncertainty. Long-term treatment effects approached null for…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Europe -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Microsimulation | Health/Medicine | Chronic Disease/Risk | Calibration/Validation | North America -
ArticlePublication 2023Out-of-Pocket Expenditures & Financial Risks Associated with Treatment of Vaccine-Preventable Diseases in Ethiopia
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases …
This study investigates out-of-pocket (OOP) expenditures and associated catastrophic health expenditures (CHEs) for vaccine-preventable diseases (VPDs) in Ethiopia. Through a cross-sectional costing analysis, data on OOP direct medical and nonmedical expenditures were collected from 995 households in 54 health facilities nationwide. The study focuses on VPDs in children under 5 years for pneumonia, diarrhea, measles, and pertussis, and in children under 15 years for meningitis. Mean OOP expenditures per disease episode ranged from $5·6 to…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Child/Nutrition | Sub-Saharan Africa -
ArticlePublication 2020Data-Driven Management of Post-Transplant Medications
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their …
Organ-transplanted patients typically receive high amounts of immunosuppressive drugs as a mechanism to reduce their risk of organ rejection. However, because of the diabetogenic effect of these drugs, this practice exposes them to a greater risk of new-onset diabetes after transplantation (NODAT), and hence, becoming insulin dependent. This study develops effective medication management strategies to address the common conundrum of balancing the risk of organ rejection versus that of NODAT. The article presents a robust…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Operations Research | North America -
ArticlePublication 2022Cost-Effectiveness of Masked Hypertension Screening and Treatment
The study assessed the health and economic outcomes of screening and treating masked hypertension in …
The study assessed the health and economic outcomes of screening and treating masked hypertension in U.S. adults using the Cardiovascular Disease (CVD) Policy Model, a microsimulation model. The model simulated 100,000 adults suspected of having masked hypertension (office blood pressure [BP] of 120–129/<80 mm Hg, not on antihypertensive medications, and without a history of CVD). Interventions included: usual care alone, usual care with ambulatory BP monitoring (ABPM), and usual care with home BP monitoring (HBPM).…
Microsimulation | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | 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…
Microsimulation | Health/Medicine | Chronic Disease/Risk | 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…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | 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…
Microsimulation | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | North America -
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…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | North America