Resources Repository
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ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Mathematical Models | Decision Analysis | North America -
ArticlePublication 2021New Microsimulation Models to Inform Cervical Cancer Control
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis …
Health decision models consider the lifetime natural history of human papillomavirus (HPV) infection and pathogenesis of cervical cancer, and estimate the long-term impact of preventive interventions. We propose a new health decision modeling framework that de-emphasizes previously used cytologic-colposcopic-histologic diagnoses, which are subjective and lack reproducibility, relying instead on HPV type and duration of infection as the major determinants of model transition probabilities. We posit that new model health states and corollary transitions are universal,…
Mathematical Models | Decision Analysis | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Infectious Diseases | Global -
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…
Mathematical Models | Decision Analysis | Health Systems | Government/Law | Health/Medicine | Global -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Mathematical Models | Decision Analysis | State-Transition | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Food/Agriculture | Health/Medicine -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Mathematical Models | Decision Analysis | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology | Global -
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 | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | 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 | State-Transition | Cost-Effectiveness Analysis | Chronic Disease/Risk | 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 | Cost-Effectiveness Analysis | Chronic Disease/Risk | Clinical Care | North America -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Mathematical Models | Health Outcomes | Microsimulation | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global