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 2022Systematic Review of Patient Preferences, Expectations, and Values for Management and Treatment of Hypertension
This analysis summarized the evidence on the preferences, expectations, and values of hypertension management and …
This analysis summarized the evidence on the preferences, expectations, and values of hypertension management and treatment in hypertensive patients. The authors reviewed 24 studies involving 8,701 participants. Despite varying areas of focus, common themes included (1) patients often obtain hypertension information from their physicians and prefer shared patient-centered decision-making, and (2) side effects, cost, and convenience are important factors for patients when selecting a treatment regimen for hypertension.
Health Outcomes | Chronic Disease/Risk | Preferences/Values | Clinical Care -
ArticlePublication 2019Estimating the Total Incidence of Global Childhood Cancer: A Simulation-Based Analysis
This study describes the development of a microsimulation model to simulate childhood cancer incidence for …
This study describes the development of a microsimulation model to simulate childhood cancer incidence for 200 countries/territories, taking into account trends in population growth and urbanicity, geographical variation in cancer incidence, and health system barriers to access and referral that contribute to underdiagnosis. The model was calibrated to publicly available cancer registry data, and the total incidence of childhood cancer (diagnosed and undiagnosed) was estimated for each country in 2015 and projections made to 2030.…
Health Outcomes | Chronic Disease/Risk | Microsimulation | Child/Nutrition | Health Systems | Global -
ArticlePublication 2019Global Childhood Cancer Survival Estimates and Priority-Setting: A Simulation-Based Analysis
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of …
This modelling study provides estimates of global childhood cancer survival, accounting for the impact of multiple factors that affect cancer outcomes in children. The authors developed a microsimulation model to simulate childhood cancer survival for 200 countries/territories, accounting for clinical and epidemiologic factors, including country-specific treatment variables, such as availability of chemotherapy, radiation, and surgery, and calibrated the model to empirical data from the CONCORD-2 and CONCORD-3 studies using an Approximate Bayesian Computation approach. The…
Health Outcomes | Chronic Disease/Risk | Priority Setting/Ethics | Microsimulation | Child/Nutrition | Clinical Care | Global -
ArticlePublication 2020Role and Contribution of Treatment and Imaging Modalities in Global Cervical Cancer Management
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling …
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling up treatment and imaging modalities on cervical cancer survival in 200 countries/territories. The paper evaluates the potential survival effect of scaling up treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), and imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single photon emission CT [SPECT]) to the mean level of high-income countries, both individually and in combination. The model estimates that global…
Health Outcomes | Chronic Disease/Risk | Priority Setting/Ethics | Microsimulation | Health Systems | Global -
ArticlePublication 2021Global Costs, Health Benefits, & Economic Benefits of Scaling Up Treatment and Imaging Modalities for Survival of 11 Cancers
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging …
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival in 200 countries/territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). Using a microsimulation model of global cancer survival, the paper evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted…
Health Outcomes | Chronic Disease/Risk | Priority Setting/Ethics | Microsimulation | Benefit-Cost Analysis | Health Systems | Global -
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 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 -
Resource PackPublication, Teaching Resource 2022Resource Pack: Decision Analysis & Childhood Obesity
This resource pack on childhood obesity was curated by the Center for Health Decision Science …
This resource pack on childhood obesity was curated by the Center for Health Decision Science to showcase existing cost-effectiveness analyses and motivate students, educators, and others to pursue new applications of decision science methods to the public health challenge of obesity. The resource pack was motivated by the NEJM article entitled Simulation of Growth Trajectories of Childhood Obesity into Adulthood published on November 30, 2017, with CHDS co-authors Zach Ward and Stephen Resch. Citation: Ward Z, Long M,…
Health Outcomes | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Child/Nutrition | Policy/Regulation | Clinical Care | Culture/Society | Economics/Finance | Food/Agriculture | Health/Medicine | North America