Resources Repository
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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…
Calibration/Validation | Health Outcomes | North America | Microsimulation | Child/Nutrition | Mental Health -
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 | North America | Mathematical Models | Chronic Disease/Risk | Social Determinants -
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 | North America | Microsimulation | Chronic Disease/Risk | Social Determinants -
ArticlePublication 2021Health Opportunity Cost Threshold for CEA in the U.S.
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, …
Using a modeled cohort of 100,000 individuals in the United States with private health insurance, the authors simulated the short-term mortality and morbidity resulting from increased premium related cancelation of insurance coverage. The authors used this model to estimate cost-effectiveness thresholds, in dollars per quality-adjusted life year (QALY) gained based on health opportunity costs. They reported the number of persons who dropped insurance coverage, resulting number of additional deaths and QALYs lost from mortality and…
Cost-Effectiveness Analysis | Health Outcomes | North America | Priority Setting/Ethics | Evidence Synthesis | Microsimulation | Health Systems | Policy/Regulation | Health/Medicine -
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…
Cost-Effectiveness Analysis | Calibration/Validation | North America | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health/Medicine | Graduate -
ArticlePublication 2017Cost-Effectiveness of Intensive versus Standard Blood-Pressure Control
Based on data from the Systolic Blood Pressure Intervention Trial (SPRINT), the authors of this …
Based on data from the Systolic Blood Pressure Intervention Trial (SPRINT), the authors of this article compared the cost-effectiveness of intensive versus standard control in adults at high risk for cardiovascular disease who received intensive systolic blood-pressure control. A microsimulation model was used to project lifetime costs of treatment and monitoring, cardiovascular disease events and subsequent treatment costs, treatment-related risks of serious adverse events and subsequent costs, and quality-adjusted life-years (QALYs) for the two strategies.…
Cost-Effectiveness Analysis | Health Outcomes | North America | Microsimulation | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2017Predicting Carer Health Effects for Use in Economic Evaluation
Illnesses and interventions can affect the health status of family carers in addition to patients. …
Illnesses and interventions can affect the health status of family carers in addition to patients. However economic evaluation studies rarely incorporate data on health status of carers. In order to investigate whether changes in carer health status could be ‘predicted’ from the health data of those they provide care to, as a means of incorporating carer outcomes in economic evaluation, the authors used regression models to analyse changes in carers’ health status. They derive predictive algorithms based on…
Cost-Effectiveness Analysis | Health Outcomes | North America | Preferences/Values | Infectious Diseases | Health/Medicine | Europe -
DataWeb Portal 2024Medical Expenditure Panel Survey (MEPS)
The Medical Expenditure Panel Survey (MEPS) is the only national data source in the U.S. measuring …
The Medical Expenditure Panel Survey (MEPS) is the only national data source in the U.S. measuring how Americans use and pay for medical care, health insurance, and out-of-pocket spending. Annual surveys of individuals and families, as well as their health care providers, provide data on health status, the use of medical services, charges, insurance coverage, and satisfaction with care. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form…
Cost-Effectiveness Analysis | Health Outcomes | North America | Costing Methods | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine -
DataWeb Portal 2024Healthcare Cost and Utilization Project (HCUP)
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in …
The Healthcare Cost and Utilization Project (HCUP) is the most comprehensive source of hospital data in the United States, including information on in-patient care, ambulatory care, and emergency department visits. HCUP enables researchers, insurers, policymakers and others to study health care delivery and patient outcomes over time, and at the national, regional, State, and community levels. The Agency for Healthcare Research and Quality (AHRQ) provides a range of data resources in the form of online, searchable…
Cost-Effectiveness Analysis | Health Outcomes | North America | Costing Methods | Evidence Synthesis | Test Performance | Technology Assessment | Infectious Diseases | Maternal/Reproductive Health | Child/Nutrition | Chronic Disease/Risk | Mental Health | Injuries/Accidents | Social Determinants | Health Systems | Policy/Regulation | Economics/Finance | Government/Law | Health/Medicine | Science/Technology