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…
Calibration/Validation | North America | Clinical Care | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine -
ArticlePublication 2009Cost-Effectiveness of HPV Vaccination and Cervical Cancer Screening in Women Aged 30+ Years in the U.S.
The objective of the study was to assess the health and economic outcomes of HPV …
The objective of the study was to assess the health and economic outcomes of HPV vaccination in older U.S. women. The authors conducted a cost-effectiveness analysis with an empirically calibrated model using data from published literature; interventions included HPV vaccination added to screening strategies that differ by test (cytology or HPV DNA testing), frequency, and start age versus screening alone.They found that in the context of annual or biennial screening, HPV vaccination of women aged…
Cost-Effectiveness Analysis | North America | Clinical Care | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Economics/Finance | Health/Medicine | Science/Technology -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Calibration/Validation | North America | Clinical Care | Microsimulation | Infectious Diseases | Chronic Disease/Risk | Health/Medicine | Science/Technology