Resources Repository
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Resource PackWeb Portal, Teaching Resource 2018Resource Pack: Mental Health and Modeling
This resource pack, curated by the Center for Health Decision Science, features resources on modeling …
This resource pack, curated by the Center for Health Decision Science, features resources on modeling approaches applied to mental health. We aim to provide an overview of different techniques to guide researchers and practitioners in applying decision science and economic modeling to this public health challenge. More specifically, this resource pack contains review articles comparing different modeling techniques in the evaluation of treatments for depression, bipolar disorder and schizophrenia. The majority of articles in this…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Mental Health | Costing Methods | Health Outcomes | Evidence Synthesis | State-Transition | Microsimulation | Cost-Effectiveness Analysis | North America | Europe -
Resource PackPublication, Teaching Resource 2017Resource Pack: U.S. Opioid Epidemic
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public …
Opioid misuse and addiction in the United States is an ongoing and rapidly evolving public health crisis, requiring an urgent coordinated response and innovative scientific solutions. This resource pack was curated for educators and students interested in how decision analytic methods and tools can be applied to the problem of opioid addiction.
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Mental Health | Preferences/Values | Evidence Synthesis | Decision Analysis | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | North America | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
ReviewPublication 2016Choosing an Epidemiological Model Structure for Economic Evaluation
This review presents a taxonomy of epidemiological model structures and applies it to the economic …
This review presents a taxonomy of epidemiological model structures and applies it to the economic evaluation of public health interventions for non-communicable diseases. Growing pressures on health services and on social care have led to a greater need for prevention of chronic diseases. In order for decision makers to make informed judgements about how to best spend finite public health resources, they must be able to quantify the anticipated costs, benefits, and opportunity costs of…
Mathematical Models | Health/Medicine | Culture/Society | Chronic Disease/Risk | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Social Determinants | Environmental Health | Health Systems | Climate/Environment -
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 | Health/Medicine | Chronic Disease/Risk | Mental Health | Priority Setting/Ethics | Costing Methods | State-Transition | Microsimulation | Decision Analysis | Cost-Effectiveness Analysis | 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 | Health/Medicine | Chronic Disease/Risk | Health Outcomes | Cost-Effectiveness Analysis | Policy/Regulation | 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 | Health/Medicine | Chronic Disease/Risk | State-Transition | 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 | 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 & 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