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Estimating annual prevalence of depression and anxiety disorder in multiple sclerosis using administrative data

Overview of attention for article published in BMC Research Notes, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 news outlet
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2 X users

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83 Mendeley
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Title
Estimating annual prevalence of depression and anxiety disorder in multiple sclerosis using administrative data
Published in
BMC Research Notes, November 2017
DOI 10.1186/s13104-017-2958-1
Pubmed ID
Authors

Ruth Ann Marrie, Randy Walld, James M. Bolton, Jitender Sareen, John R. Walker, Scott B. Patten, Alexander Singer, Lisa M. Lix, Carol A. Hitchon, Renée El-Gabalawy, Alan Katz, John D. Fisk, Charles N. Bernstein, For the CIHR Team in Defining the Burden and Managing the Effects of Psychiatric Comorbidity in Chronic Immunoinflammatory Disease

Abstract

Researchers have developed case definitions to estimate incidence and lifetime prevalence of depression and anxiety disorders in multiple sclerosis (MS) using administrative data. For policymakers however, the prevalence of a disease requiring ongoing treatment during a given period such as annual period prevalence may be more relevant for decision-making. We tested a case definition for annual period prevalence of depression and anxiety disorders in MS using administrative data. Using population-based administrative (health claims) data from Manitoba, Canada we identified 1922 persons with incident MS from 1989 to 2012, and 11,392 age, sex and geographically-matched controls from the general population. As compared to controls, MS patients had an elevated annual prevalence ratio of depression (1.77; 95% confidence interval [CI] 1.64, 1.91), and anxiety disorders (1.46; 95% CI 1.35, 1.58). The annual prevalence of depression in our matched cohort was similar to that observed in the 2012 Canadian Community Health Survey, although the annual prevalence of anxiety was slightly higher. Administrative data can be used to estimate the annual period prevalence of psychiatric disorders in MS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 11%
Student > Bachelor 8 10%
Student > Master 7 8%
Student > Ph. D. Student 5 6%
Student > Postgraduate 5 6%
Other 19 23%
Unknown 30 36%
Readers by discipline Count As %
Medicine and Dentistry 13 16%
Psychology 12 14%
Biochemistry, Genetics and Molecular Biology 4 5%
Neuroscience 4 5%
Nursing and Health Professions 4 5%
Other 13 16%
Unknown 33 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 31 May 2019.
All research outputs
#3,099,525
of 23,008,860 outputs
Outputs from BMC Research Notes
#434
of 4,284 outputs
Outputs of similar age
#69,822
of 438,185 outputs
Outputs of similar age from BMC Research Notes
#20
of 167 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 438,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.