Resources Repository
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ReviewPublication 2023Systematic Review of Cost-Effectiveness Studies of Newer Non-Insulin Antidiabetic Drugs: Trends in Decision-Analytical Models for Modelling of Type 2 Diabetes Mellitus
This systematic review analyzed cost-effectiveness analyses (CEAs) using decision-analytical modeling (DAM) to compare non-insulin antidiabetic …
This systematic review analyzed cost-effectiveness analyses (CEAs) using decision-analytical modeling (DAM) to compare non-insulin antidiabetic drugs (NIADs) within glucagon-like peptide-1 (GLP1) receptor agonists, sodium-glucose cotransporter-2 (SGLT2) inhibitors, or dipeptidyl peptidase-4 (DPP4) inhibitors for treating type 2 diabetes mellitus (T2DM). The study focused on economic results and underlying methodological choices. Methods included searching PubMed, Embase, and Econlit databases from January 1, 2018, to November 15, 2022. Two reviewers screened titles, abstracts, and full texts for relevance…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Evidence Synthesis | Cost-Effectiveness Analysis | Europe -
ArticlePublication 2023Designing Guidelines for Those Who Do Not Follow Them: Impact of Adherence Assumptions on Optimal Screening Guidelines
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer …
This study examines the impact of real-world screening adherence on the cost-effectiveness of cervical cancer screening guidelines. Using a microsimulation model of cervical carcinogenesis, the researchers projected long-term health and economic outcomes for 18 screening algorithms under various adherence scenarios. These included perfect adherence, eight high- and low-coverage "random-complier" scenarios, and three "systematic-complier" scenarios reflecting conditional screening behavior over a lifetime. Results showed that perfect adherence favored the least intensive screening strategy, while any level…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Microsimulation | Cost-Effectiveness Analysis -
ArticlePublication 2023Estimating the US Baseline Distribution of Health Inequalities Across Race, Ethnicity, Geography for Equity-Informative CEA
This study addresses disparities in health outcomes among racial and ethnic groups in the United …
This study addresses disparities in health outcomes among racial and ethnic groups in the United States using Bayesian models to handle suppressed mortality data. By linking multiple US data sets, it demonstrates significant variations in life expectancy, disability-free life expectancy, and quality-adjusted life expectancy based on race, ethnicity, and geographic location. Results show that disparities persist and widen with age, especially between the best-off and worst-off subgroups in socially vulnerable counties. Life expectancy, disability-free life…
Health Outcomes | Health/Medicine | Social Determinants | Cost-Effectiveness Analysis | North America -
Tutorial/PrimerPublication, Teaching Resource 2023Survival Extrapolation Incorporating General Population Mortality Using Excess Hazard and Cure Models: Tutorial
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when …
The study examines the utility of excess hazard (EH) methods in reducing model uncertainty when estimating long-term survival in cost-effectiveness analyses. Using a case study of breast cancer patients, standard parametric survival models were compared with EH methods incorporating general population mortality rates, with and without a cure parameter. Results showed substantial variability in survival extrapolations across standard models, while EH methods, particularly EH cure models, significantly reduced uncertainty. Long-term treatment effects approached null for…
Mathematical Models | Health/Medicine | Chronic Disease/Risk | Cost-Effectiveness Analysis | Europe -
ArticlePublication 2023Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, …
This study explores the efficacy of machine learning (ML)-based emulators in calibrating complex microsimulation models, using the Colorectal Cancer (CRC)-Adenoma Incidence and Mortality (CRC-AIM) model as a case study. ML algorithms, including deep neural networks (DNN), were trained and compared using data generated from the CRC-AIM model to predict various outcomes. The DNN outperformed other algorithms and efficiently predicted outcomes, reducing computational burden significantly. The calibrated CRC-AIM model demonstrated cross-model validity against established CISNET models…
Calibration/Validation | Health/Medicine | Chronic Disease/Risk | Microsimulation | North America -
ArticlePublication 2023Single-Arm Trial Design Estimates Efficacy
Studies to confirm the efficacy of a single HPV vaccine dose, of vaccine durability, and …
Studies to confirm the efficacy of a single HPV vaccine dose, of vaccine durability, and of vaccination modifications are needed, but randomized controlled trials are costly and face logistical and ethical challenges. In this study, the authors demonstrate proof-of-principle that a single-arm design yields valid estimates with similar precision to a randomized controlled trial.
Health Outcomes | Health/Medicine | Policy/Regulation | Infectious Diseases | Maternal/Reproductive Health | Global -
ArticlePublication 2023Benefits and Costs of COVID-19 Vaccine Mandates
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations …
Written mid-pandemic, this article evaluates the direct costs and health benefits of requiring COVID-19 vaccinations for U.S. federal employees and healthcare and private sector workers. These mandates were controversial and some were halted by litigation. If they had been implemented as intended, the net benefits would depend on the course of the pandemic. If a more transmissible variant (such as Omicron) emerges, the net benefits may be large. If the pandemic instead fades, the benefits…
Mathematical Models | Health/Medicine | Policy/Regulation | State-Transition | Benefit-Cost Analysis | Infectious Diseases | Business/Industry | Economics/Finance | Government/Law | North America -
ArticlePublication 2022Comparative Health Systems Analysis of Differences in Catastrophic Health Expenditure
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications …
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications for health system performance in the area of financial risk protection, as measured by catastrophic health expenditure (CHE). This article compares non-communicable diseases catastrophic health expenditure to the CHE cases caused by communicable diseases across health systems to examine whether: (1) disease burden and catastrophic health expenditure are linked, (2) Catastrophic health expenditures secondary to NCDs disproportionately affect wealthier households and (3) whether the drivers…
Costing Methods | Health/Medicine | Chronic Disease/Risk | Evidence Synthesis | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Global -
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