Resources Repository
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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 -
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 | Health Systems | Decision Analysis | Government/Law | Health/Medicine | 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…
Mathematical Models | Chronic Disease/Risk | Cost-Effectiveness Analysis | Clinical Care | Health/Medicine | North America -
ArticlePublication 2021Alleviating the Burden of Diabetes with Health Equity Funds: Economic Evaluation of the Health & Financial Risk Protection Benefits in Cambodia
This study examines the potential distributional health and financial impacts of implementing strategies to provide …
This study examines the potential distributional health and financial impacts of implementing strategies to provide financial coverage for diabetes services through Health Equity Funds (HEF) in Cambodia. Utilizing a Markov model, the trajectory of diabetes is projected over a 45-year period to estimate societal costs, health outcomes, and individual out-of-pocket expenditures associated with six HEF coverage strategies. Input parameters are derived from published literature and household survey data. Strategies covered different combinations of types of…
Mathematical Models | Chronic Disease/Risk | Health Outcomes | Cost-Effectiveness Analysis | Health/Medicine | Asia & Pacific -
Resource PackPublication, Teaching Resource 2024Resource Pack: Ethiopian Health Decision Sciences
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence …
This resource pack provides a curated set of peer-reviewed articles that represent the growing evidence base for decision making and priority setting in Ethiopia - with an emphasis on improving health, reducing inequity, and preventing health-related impoverishment. Curated by Dr. Stéphane Verguet at the Center for Health Decision Science, most of the papers reflect work done as part of the Disease Control Priorities-Ethiopia (DCP-E) project. The pack provides scholarship that spans maternal-child health, vaccine-preventable disease, infectious…
Mathematical Models | Health Systems | Priority Setting/Ethics | Costing Methods | Health Outcomes | Benefit-Cost Analysis | Cost-Effectiveness Analysis | Health/Medicine | Sub-Saharan Africa | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Policy Translation -
Resource PackPublication, Teaching Resource 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Mathematical Models | Chronic Disease/Risk | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America | Latin America & Caribbean | Europe | Oceania -
ArticlePublication 2013Nutritional Policy Changes in SNAP: A Microsimulation and Cost-Effectiveness Analysis
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) …
This analysis estimated the health effects and cost-effectiveness of banning or taxing sugar-sweetened beverages (SSBs) or subsidizing fruits and vegetables purchased with SNAP. The target population was adults in the U.S. and the time horizon was 10 years. Results showed that banning SSB purchases using SNAP benefits would be expected to avert 510,000 diabetes person-years and 52,000 deaths from MIs and strokes over the next decade, with a savings of $2900 per QALY saved. A…
Mathematical Models | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis | Policy/Regulation | Economics/Finance | Food/Agriculture | Government/Law | Health/Medicine | North America