Resources Repository
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ArticlePublication 2013Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used …
This paper compares alternative strategies to manage ductal carcinoma in situ (DCIS). The authors used a disease simulation model to simulate the clinical events after six treatments (lumpectomy alone, lumpectomy with radiation, lumpectomy with radiation and tamoxifen, lumpectomy with tamoxifen, and mastectomy with and without breast reconstruction). Outcomes included disease-free, invasive disease-free, overall survival and breast preservation. Data were from the published literature. The results showed that for women aged 45 years at diagnosis, both mastectomy…
Decision Analysis | Health Outcomes | Clinical Care | Health/Medicine -
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Microsimulation | Health Outcomes | Clinical Care | Mathematical Models | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Health/Medicine | Global -
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…
Microsimulation | Health Outcomes | Clinical Care | Evidence Synthesis | Calibration/Validation | Maternal/Reproductive Health | Health Systems | Health/Medicine | 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…
Microsimulation | Health Outcomes | Clinical Care | Priority Setting/Ethics | Child/Nutrition | Chronic Disease/Risk | Global -
ArticlePublication 2021Impact of Treatment and Imaging Modalities on Global Breast Cancer Survival
This analysis used a microsimulation model of global cancer survival to simulate 5-year net survival …
This analysis used a microsimulation model of global cancer survival to simulate 5-year net survival for women with newly diagnosed breast cancer in 200 countries/territories in 2018, accounting for the availability and stage-specific survival impact of specific treatment modalities (chemotherapy, radiotherapy, surgery, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single-photon emission computed tomography [SPECT]), and quality of cancer care. The model was calibrated to empirical data on 5-year net breast cancer…
Microsimulation | Health Outcomes | Clinical Care | Calibration/Validation | Chronic Disease/Risk | Health Systems | Global -
ArticlePublication 2015A Conceptual Model for Breast, Cervical, and Colorectal Cancer Screening
General frameworks of the cancer screening process are available, but none directly compare the process …
General frameworks of the cancer screening process are available, but none directly compare the process in detail across different organ sites. This limits the ability of medical and public health professionals to develop and evaluate coordinated screening programs that apply resources and population management strategies available for one cancer site to other sites. This paper presents a conceptual model that incorporates a single screening episode for breast, cervical, and colorectal cancers into a unified framework based…
Microsimulation | Health Outcomes | Clinical Care | Preferences/Values | Evidence Synthesis | Test Performance | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Health/Medicine | Science/Technology | North America -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Decision Analysis | Clinical Care | Probability/Bayes | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: CEA of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies …
This self-directed tutorial is about a decision analytic model of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. This tutorial is based on the publication: Benamouzig R, Barré S, Saurin J-C et al. Cost-Effectiveness Analysis of Alternative Colorectal Cancer Screening Strategies in High-Risk Individuals. Therapeutic Advances in Gastroenterology 2021; 14. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick Innovation Fund, established with…
Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Introduction to Programming Decision Trees
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate …
This self-directed tutorial walks through the development of a decision tree using Amua to evaluate three initial management strategies for ductal carcinoma in situ (DCIS) based on a published analysis: Soeteman DI, Stout NK, Ozanne EM et al. Modeling the Effectiveness of Initial Management Strategies for Ductal Carcinoma in Situ. J Natl Cancer Inst 2013; 105 (11): 774-781. The tutorial describes how to build the model structure, parameterize the model probabilities and outcomes based on…
Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional