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 | Evidence Synthesis | Cost-Effectiveness Analysis | Chronic Disease/Risk | 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 | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk -
BriefPublication 2023Dynamic Mortality Modeling: Incorporating Predictions of Future General Population Mortality into CEA
This study addresses the limitations of conventional static approaches in health economic modeling by proposing …
This study addresses the limitations of conventional static approaches in health economic modeling by proposing a dynamic general population mortality modeling method. Using a replication of the axicabtagene ciloleucel model from NICE appraisal TA559, the authors demonstrate the potential impact of this approach on estimating life-years and cost-effectiveness. The model utilizes national mortality projections and updates mortality rates annually, considering different assumptions around age distribution. Results show that incorporating dynamic calculations increases undiscounted life-years attributed…
Mathematical Models | Health/Medicine | Cost-Effectiveness Analysis | Europe -
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 | Cost-Effectiveness Analysis | Chronic Disease/Risk | 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 | Microsimulation | Chronic Disease/Risk | North America -
Tutorial/PrimerPublication, Teaching Resource 2023Conducting Trial-Based Economic Evaluations Using R: A Tutorial
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological …
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological challenges. This tutorial provides step-by-step guidance on how to combine appropriate statistical methods using a ready-to-use R script, and addresses missing data, correlated costs and effects, baseline imbalances, and skewness of costs and/or effects. The authors also provide the theoretical background of these methods, and demonstrate their application through a simulated trial-based economic evaluation.
Costing Methods | Health/Medicine | Evidence Synthesis | Economics/Finance | Graduate | Doctoral | Professional | Quantitative Literacy -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Calibration/Validation | Health/Medicine | Health Outcomes | Evidence Synthesis | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
DataPublication 2023Trends in Maternal Mortality 2000 to 2020
This report presents global, regional, and country-level estimates and trends for maternal mortality between 2000 …
This report presents global, regional, and country-level estimates and trends for maternal mortality between 2000 and 2020 produced by the United Nations Maternal Mortality Estimation Inter-Agency Group (MMEIG).* The estimates are intended to inform progress in maternal mortality to support national efforts to meet Sustainable Development Goal (SDG) target 3.1, to reduce maternal mortality to less than 70 maternal deaths per 100,000 live births by 2030. The report is accompanied by a set of country…
Mathematical Models | Health/Medicine | Health Outcomes | Evidence Synthesis | Maternal/Reproductive Health | Global -
ArticlePublication 2010Alternative Strategies to Reduce Maternal Mortality in India: A Cost-Effectiveness Analysis
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy …
This article, published in PLoS Medicine, conducted a cost-effectiveness analysis of strategies to improve pregnancy and childbirth safety in India. Country- and region-specific data were synthesized using a computer-based model that simulates the natural history of pregnancy and pregnancy-associated complications in individual women, and considers delivery location, attendant, and facility level. Model validation compared projected maternal indicators with empiric data. Strategies consisted of improving coverage of effective interventions that could be provided individually or packaged…
Mathematical Models | Health/Medicine | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Economics/Finance | Global | Asia & Pacific