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The Population Health Model (POHEM): an overview of rationale, methods and applications

Overview of attention for article published in Population Health Metrics, September 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

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14 Dimensions

Readers on

mendeley
61 Mendeley
Title
The Population Health Model (POHEM): an overview of rationale, methods and applications
Published in
Population Health Metrics, September 2015
DOI 10.1186/s12963-015-0057-x
Pubmed ID
Authors

Deirdre A. Hennessy, William M. Flanagan, Peter Tanuseputro, Carol Bennett, Meltem Tuna, Jacek Kopec, Michael C. Wolfson, Douglas G. Manuel

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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 13 21%
Student > Master 10 16%
Unspecified 8 13%
Professor 5 8%
Other 10 16%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Unspecified 12 20%
Economics, Econometrics and Finance 6 10%
Computer Science 5 8%
Social Sciences 4 7%
Other 16 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2018.
All research outputs
#3,512,086
of 13,047,693 outputs
Outputs from Population Health Metrics
#131
of 287 outputs
Outputs of similar age
#63,913
of 238,271 outputs
Outputs of similar age from Population Health Metrics
#1
of 1 outputs
Altmetric has tracked 13,047,693 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 238,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them