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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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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
7 news outlets
blogs
4 blogs
twitter
24 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
441 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 30 16%
Researcher 21 11%
Student > Ph. D. Student 18 9%
Student > Bachelor 11 6%
Other 9 5%
Other 34 18%
Unknown 68 36%
Readers by discipline Count As %
Medicine and Dentistry 45 24%
Nursing and Health Professions 16 8%
Social Sciences 9 5%
Agricultural and Biological Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 29 15%
Unknown 83 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 97. 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 28 April 2023.
All research outputs
#424,999
of 25,069,047 outputs
Outputs from BMC Public Health
#376
of 16,718 outputs
Outputs of similar age
#4,745
of 271,053 outputs
Outputs of similar age from BMC Public Health
#5
of 249 outputs
Altmetric has tracked 25,069,047 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 97% 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 271,053 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 98% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.