Resources Repository
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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 | North America | Costing Methods | Evidence Synthesis | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | Health/Medicine -
ArticlePublication 2014Cost of a Primary Care-Based Childhood Obesity Prevention Intervention
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for …
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for Kids) for children ages 2-6 years, compared to usual care. U.S. pediatric guidelines recommend that childhood obesity counseling be done in primary care settings. The clinical trial aimed to modify children’s nutrition and TV viewing habits through a motivational interviewing intervention. The authors assessed the visit-related costs for children enrolled in the trial, and found that the mean costs for…
Decision Analysis | North America | Costing Methods | Child/Nutrition | Chronic Disease/Risk | Clinical Care | Economics/Finance | Health/Medicine -
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 | North America | State-Transition | Calibration/Validation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine