Resources Repository
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ReportPublication 2016Modeling to Inform Strategies to Improve Population Health
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential …
This workshop report summarizes a workshop convened by the Institute of Medicine to explore the potential uses of simulation and other types of modeling for improving health. Participants worked to identify how modeling could inform population health decision making (selecting and refining potential strategies, ranging from interventions to investments) based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and…
Mathematical Models | Decision Analysis | Chronic Disease/Risk | State-Transition | Microsimulation | Dynamic Simulation | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Government/Law | Health/Medicine | North America -
ReportPublication 2015Modeling to Improve Policy Decisions in the Americas: Noncommunicable Diseases
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only …
In the Region of the Americas, noncommunicable diseases (NCDs) are a clear threat not only to human health, but also to a country’s economic development and growth. The evidence on both of these counts is compelling. In 2012, cardiovascular disease, diabetes, cancers, chronic respiratory conditions including asthma, and other NCDs were the cause of 4.5 million deaths in the Americas. Of that total number, 1.5 million of them were premature, occurring among people aged 30-69…
Mathematical Models | Decision Analysis | Chronic Disease/Risk | Priority Setting/Ethics | Costing Methods | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Mental Health | Health/Medicine | Latin America & Caribbean -
ArticlePublication 2024Extended Cost-Effectiveness Analysis of Interventions to Improve Uptake of Diabetes Services in South Africa
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes …
This study examines the potential impact of a conditional cash transfer (CCT) program on diabetes diagnosis and treatment service utilization in South Africa (SA) using extended cost-effectiveness analysis (ECEA). Applying a Markov model over a 45-year period, the analysis compares costs, health benefits, and financial risk protection (FRP) attributes of different CCT strategies, drawing from SA-specific data. Three scenarios were simulated: covering diagnosis services only, treatment services only, and both diagnosis and treatment services. Cost-effectiveness,…
Mathematical Models | Chronic Disease/Risk | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2023Cost-Effectiveness of Pharmacist Prescribing for Managing Hypertension
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control …
This study estimates the cost-effectiveness of implementing a pharmacist-prescribing intervention to improve blood pressure control in the US. A cost-effectiveness analysis was conducted using a Markov model based on the pharmacist-prescribing intervention used in The Alberta Clinical Trial in Optimizing Hypertension (or RxACTION). Outcomes included cardiovascular (CV) events, end-stage kidney disease events, life years, quality-adjusted life years (QALYs), lifetime costs, and lifetime incremental cost-effectiveness ratio (ICER). Costs were based on reimbursement rates, published literature, national…
Mathematical Models | Chronic Disease/Risk | State-Transition | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine | North America -
ArticlePublication 2023Cost-Effectiveness of Intensive vs. Standard Blood Pressure Control Among Older Patients
This economic analysis explored the cost-effectiveness of intensive vs standard blood pressure control in older …
This economic analysis explored the cost-effectiveness of intensive vs standard blood pressure control in older hypertensive patients between 60 and 80 years in China, the US, and the UK. Treatment outcome data from the Trial of Intensive Blood-Pressure Control in Older Patients with Hypertension (STEP trial) and different cardiovascular risk assessment models for a hypothetical cohort of STEP-eligible patients were used. Costs and utilities were obtained from published sources. A Markov model was used to…
Mathematical Models | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | 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 | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Child/Nutrition | Health/Medicine | 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 | Chronic Disease/Risk | Operations Research | Health/Medicine | North America -
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…
Mathematical Models | Chronic Disease/Risk | Health Outcomes | Calibration/Validation | Social Determinants | 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 | Chronic Disease/Risk | Infectious Diseases | Health/Medicine