Resources Repository
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OrganizationWeb Portal 2024Agency for Healthcare Research and Quality (AHRQ)
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for …
The Agency for Healthcare Research and Quality (AHRQ) is the nation's lead federal agency for research on health care quality, costs, outcomes and patient safety. AHRQ is the health services research arm of the U.S. Department of Health and Human Services (HHS), complementing the biomedical research mission of its sister agency, the National Institutes of Health. The agency is home to research centers that specialize in major areas of health care research, including: clinical practice…
Technology Assessment | Decision Analysis | Health Outcomes | Social Determinants | Costing Methods | Test Performance | Cost-Effectiveness Analysis | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | 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…
Probability/Bayes | Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
ExerciseNone, Teaching Resource 2024Lab: Giant Cell Arteritis Decision Tree Model
This tutorial walks through the development of a decision tree model focused on Giant Cell …
This tutorial walks through the development of a decision tree model focused on Giant Cell Arteritis. It describes how to build the model structure, assign probabilities and outcomes based on imperfect test characteristics and epidemiologic estimates, evaluate alternative treatment strategies, and conduct one-way sensitivity analyses to assess which model parameters may impact the optimal treatment choice. Amua, the Swahili word meaning “decide”/“solve”, is an open source modeling framework and probabilistic programming language for decision analysis…
Probability/Bayes | Decision Analysis | Clinical Care | Mathematical Models | Health/Medicine | Graduate | Doctoral | Professional -
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…
Calibration/Validation | Health Outcomes | Clinical Care | Mathematical Models | Microsimulation | 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…
Calibration/Validation | Health Outcomes | Clinical Care | Evidence Synthesis | Microsimulation | Maternal/Reproductive Health | Health Systems | Health/Medicine | Global -
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…
Calibration/Validation | Health Outcomes | Social Determinants | Mathematical Models | Chronic Disease/Risk | North America -
ArticlePublication 2022Excess Mortality and Elevated Body Weight in the U.S.
This analysis estimates excess mortality associated with elevated body weight in the United States by …
This analysis estimates excess mortality associated with elevated body weight in the United States by state and demographic subgroup. The authors developed a nationally-representative microsimulation (individual-level) model of US adults between 1999 and 2016, based on risk factor data from the Behavioral Risk Factor Surveillance System and body-mass index (BMI) mortality hazard ratios from a global pooling dataset. The model was calibrated to empirical all-cause mortality rates from CDC WONDER by state and subgroup, and…
Calibration/Validation | Health Outcomes | Social Determinants | Microsimulation | Chronic Disease/Risk | North America -
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…
Calibration/Validation | Health Outcomes | Clinical Care | Microsimulation | Chronic Disease/Risk | Health Systems | Global