Resources Repository
-
ArticlePublication 2020Expanding Oral Disease Treatment is Cost Effective
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related …
This study developed a stochastic microsimulation model of oral health conditions, type-2 diabetes (T2D), T2D-related microvascular diseases, and CVD, to project the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D and periodontitis. Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). The micro-simulation model parameters were obtained from the nationally representative National…
Microsimulation | Mathematical Models | Calibration/Validation | North America | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Graduate -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Priority Setting/Ethics | Mathematical Models | Operations Research | North America | Infectious Diseases | Health/Medicine | Professional | Policy Translation -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Microsimulation | Mathematical Models | Calibration/Validation | North America | Costing Methods | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
ArticlePublication 2023Estimated Reductions in Opioid Overdose Deaths with Sustainment of Public Health Interventions in 4 U.S. States
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily …
This study utilizes a decision analytical model to simulate the opioid epidemic in four heavily impacted states: Kentucky, Massachusetts, New York, and Ohio. By analyzing the effects of increased initiation and retention of medications for opioid use disorder (MOUDs) and enhanced naloxone distribution over a 2 to 5-year timeframe, the research assesses the potential reduction in opioid overdose deaths (OODs). Results indicate that sustaining a combination of interventions could lead to substantial reductions in OODs,…
Mathematical Models | Decision Analysis | North America -
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…
Microsimulation | Calibration/Validation | North America | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2023Achieving the Cancer Moonshot Goal
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over …
The Cancer Moonshot seeks to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years. This article estimates trends in U.S. cancer mortality for all cancers and the six leading types and reviews opportunities to prevent, detect, and treat these common cancers.
Priority Setting/Ethics | Mathematical Models | North America | Health Systems | Clinical Care | Health/Medicine -
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 | Operations Research | North America | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2022Early HPV Natural History Transitions
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on …
Microsimulation models used to evaluate the cost-effectiveness of novel cervical cancer screening technologies rely on accurate transition risks for human papillomavirus (HPV) infection, persistence (or absence of HPV clearance), progression to precancerous lesions, and invasion. To inform the refinement of such models, we compared the early natural history of HPV types using prospective data from immunocompetent women in the Guanacaste Natural History Study, the ASCUS-LSIL Triage Study, and the Costa Rica HPV Vaccine Trial. We…
Microsimulation | Mathematical Models | North America | Cost-Effectiveness Analysis | Infectious Diseases | Latin America & Caribbean -
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Microsimulation | Calibration/Validation | North America | Health Outcomes | Child/Nutrition | Mental Health