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- Publisher Website: 10.1186/s12963-015-0057-x
- Scopus: eid_2-s2.0-84940566054
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Article: The Population Health Model (POHEM): An overview of rationale, methods and applications
Title | The Population Health Model (POHEM): An overview of rationale, methods and applications |
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Authors | |
Issue Date | 2015 |
Citation | Population Health Metrics, 2015, v. 13, n. 1, article no. 24 How to Cite? |
Abstract | The POpulation HEalth Model (POHEM) is a health microsimulation model that was developed at Statistics Canada in the early 1990s. 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 to describe and project health outcomes, including disease incidence, prevalence, life expectancy, health-adjusted life expectancy, quality of life, and healthcare costs. Additionally, POHEM was conceptualized and built with the ability to assess the impact of policy and program interventions, not limited to those taking place in the healthcare system, on the health status of Canadians. Internationally, POHEM and other microsimulation models have been used to inform clinical guidelines and health policies in relation to complex health and health system problems. This paper provides a high-level overview of the rationale, methodology, and applications of POHEM. Applications of POHEM to cardiovascular disease, physical activity, cancer, osteoarthritis, and neurological diseases are highlighted. |
Persistent Identifier | http://hdl.handle.net/10722/346604 |
DC Field | Value | Language |
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dc.contributor.author | Hennessy, Deirdre A. | - |
dc.contributor.author | Flanagan, William M. | - |
dc.contributor.author | Tanuseputro, Peter | - |
dc.contributor.author | Bennett, Carol | - |
dc.contributor.author | Tuna, Meltem | - |
dc.contributor.author | Kopec, Jacek | - |
dc.contributor.author | Wolfson, Michael C. | - |
dc.contributor.author | Manuel, Douglas G. | - |
dc.date.accessioned | 2024-09-17T04:11:59Z | - |
dc.date.available | 2024-09-17T04:11:59Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Population Health Metrics, 2015, v. 13, n. 1, article no. 24 | - |
dc.identifier.uri | http://hdl.handle.net/10722/346604 | - |
dc.description.abstract | The POpulation HEalth Model (POHEM) is a health microsimulation model that was developed at Statistics Canada in the early 1990s. 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 to describe and project health outcomes, including disease incidence, prevalence, life expectancy, health-adjusted life expectancy, quality of life, and healthcare costs. Additionally, POHEM was conceptualized and built with the ability to assess the impact of policy and program interventions, not limited to those taking place in the healthcare system, on the health status of Canadians. Internationally, POHEM and other microsimulation models have been used to inform clinical guidelines and health policies in relation to complex health and health system problems. This paper provides a high-level overview of the rationale, methodology, and applications of POHEM. Applications of POHEM to cardiovascular disease, physical activity, cancer, osteoarthritis, and neurological diseases are highlighted. | - |
dc.language | eng | - |
dc.relation.ispartof | Population Health Metrics | - |
dc.title | The Population Health Model (POHEM): An overview of rationale, methods and applications | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1186/s12963-015-0057-x | - |
dc.identifier.scopus | eid_2-s2.0-84940566054 | - |
dc.identifier.volume | 13 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 24 | - |
dc.identifier.epage | article no. 24 | - |
dc.identifier.eissn | 1478-7954 | - |