Resources Repository
-
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Mathematical Models | Calibration/Validation | Health/Medicine | Latin America & Caribbean | Costing Methods | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Clinical Care | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Asia & Pacific -
Resource PackPublication, Teaching Resource 2020Resource Pack: Cost-Effectiveness of SSB Excise Taxes
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior …
The use of fiscal instruments, such as taxes or subsidies, to promote healthier dietary behavior has been of increasing interest in the last decade as the evidence-base builds for the health and economic consequences of obesity, overweight, and unhealthy eating. The motivation for using fiscal instruments in nutrition policy is to make the unhealthy option less affordable and less economically attractive by increasing the price via a tax, and therefore reduce the incentive to consume…
Mathematical Models | Health/Medicine | Latin America & Caribbean | North America | Health Outcomes | Evidence Synthesis | Microsimulation | Cost-Effectiveness Analysis | Child/Nutrition | Chronic Disease/Risk | Policy/Regulation | Business/Industry | Economics/Finance | Food/Agriculture | Government/Law | Europe | Oceania -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Microsimulation | Cost-Effectiveness Analysis | Chronic Disease/Risk | Graduate -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Evidence Synthesis | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology -
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…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | Costing Methods | Evidence Synthesis | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance -
ArticlePublication 2014Cost-Effectiveness of Female HPV Vaccination in 179 Countries: A PRIME Modelling Study
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), …
The authors present a simple generic model, Papillomavirus Rapid Interface for Modelling and Economics (PRIME), used to assess cost-effectiveness and health effects of vaccination of girls against HPV before sexual debut in terms of burden of cervical cancer and mortality. The PRIME models incidence according to proposed vaccine efficacy against HPV 16/18, vaccine coverage, cervical cancer incidence and mortality, and HPV type distribution. It assumes lifelong vaccine protection and no changes to other screening programs…
Mathematical Models | Calibration/Validation | Health/Medicine | Latin America & Caribbean | Health Outcomes | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Global | Sub-Saharan Africa | Middle East & North Africa | Asia & Pacific -
ArticlePublication 2008Development of an Empirically Calibrated Model of Gastric Cancer in Two High-Risk Countries
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in …
This paper presents an empirically calibrated mathematical model of gastric cancer and H. pylori in China and Colombia to provide qualitative insight into the cost-effectiveness of gastric cancer prevention strategies. Despite studies that have established the relationship between Helicobacter pylori and gastric cancer and H. pylori treatment reducing cancer incidence among individuals without preexisting precancerous lesions, screening for H. pylori is still being debated. The authors synthesized…!--?xml:namespace prefix = "o" ns = "urn:schemas-microsoft-com:office:office" /-->
Mathematical Models | Calibration/Validation | Health/Medicine | Latin America & Caribbean | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Asia & Pacific -
ArticlePublication 2007Multiparameter Calibration of a Natural History Model of Cervical Cancer
This paper presents a two-step approach to model calibration of a comprehensive natural history model …
This paper presents a two-step approach to model calibration of a comprehensive natural history model of human papillomavirus (HPV) and cervical cancer. Using primary epidemiologic data from a longitudinal study of women in Brazil, a plausible range for each input parameter was identified that would produce model output within the 95% confidence intervals of the data. The authors then performed a simultaneous search over all input parameters to identify parameter sets that produced output consistent…
Mathematical Models | Calibration/Validation | Health/Medicine | Latin America & Caribbean | Microsimulation | Infectious Diseases | Chronic Disease/Risk -
ArticlePublication 2002Empirically Calibrated Model of Hepatitis C Virus Infection in the United States
This article presents an epidemiologic model of hepatitis C in the United States. The authors …
This article presents an epidemiologic model of hepatitis C in the United States. The authors used empirical calibration of model parameters to gain insights into uncertainty in the natural history of hepatitis C and to improve future projections. The authors identified model inputs by way of a systematic review. Model simulations were conducted and model predictions were compared with epidemiologic data on infection prevalence and mortality from liver cancer. Goodness-of-fit criteria were used to identify…
Mathematical Models | Calibration/Validation | Health/Medicine | North America | State-Transition | Infectious Diseases | Chronic Disease/Risk