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The increasing burden and complexity of multimorbidity

Overview of attention for article published in BMC Public Health, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
policy
1 policy source
twitter
24 tweeters
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
353 Dimensions

Readers on

mendeley
191 Mendeley
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Title
The increasing burden and complexity of multimorbidity
Published in
BMC Public Health, April 2015
DOI 10.1186/s12889-015-1733-2
Pubmed ID
Authors

Anna J Koné Pefoyo, Susan E Bronskill, Andrea Gruneir, Andrew Calzavara, Kednapa Thavorn, Yelena Petrosyan, Colleen J Maxwell, YuQing Bai, Walter P Wodchis

Abstract

Multimorbidity, the co-occurrence of two or more chronic conditions, is common among older adults and is known to be associated with high costs and gaps in quality of care. Population-based estimates of multimorbidity are not readily available, which makes future planning a challenge. We aimed to estimate the population-based prevalence and trends of multimorbidity in Ontario, Canada and to examine patterns in the co-occurrence of chronic conditions. This retrospective cohort study includes all Ontarians (aged 0 to 105 years) with at least one of 16 common chronic conditions. Descriptive statistics were used to examine and compare the prevalence of multimorbidity by age and number of conditions in 2003 and 2009. The co-occurrence of chronic conditions among individuals with multimorbidity was also explored. The prevalence of multimorbidity among Ontarians rose from 17.4% in 2003 to 24.3% in 2009, a 40% increase. This increase over time was evident across all age groups. Within individual chronic conditions, multimorbidity rates ranged from 44% to 99%. Remarkably, there were no dominant patterns of co-occurring conditions. The high prevalence of multimorbidity and numerous combinations of conditions suggests that single, disease-oriented management programs may be less effective or efficient tools for high quality care compared to person-centered approaches.

Twitter Demographics

The data shown below were collected from the profiles of 24 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 191 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 13%
Researcher 18 9%
Student > Ph. D. Student 16 8%
Other 10 5%
Student > Bachelor 9 5%
Other 28 15%
Unknown 86 45%
Readers by discipline Count As %
Medicine and Dentistry 39 20%
Nursing and Health Professions 14 7%
Social Sciences 7 4%
Agricultural and Biological Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 24 13%
Unknown 98 51%

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 10 June 2022.
All research outputs
#665,956
of 22,489,892 outputs
Outputs from BMC Public Health
#671
of 14,577 outputs
Outputs of similar age
#8,843
of 245,952 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 22,489,892 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 95% 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 245,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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