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Costs of illness of multiple sclerosis in Sweden: a population-based register study of people of working age

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, May 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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1 policy source
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1 Facebook page

Citations

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29 Dimensions

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53 Mendeley
Title
Costs of illness of multiple sclerosis in Sweden: a population-based register study of people of working age
Published in
HEPAC Health Economics in Prevention and Care, May 2017
DOI 10.1007/s10198-017-0894-6
Pubmed ID
Authors

Hanna Gyllensten, Michael Wiberg, Kristina Alexanderson, Anders Norlund, Emilie Friberg, Jan Hillert, Olivia Ernstsson, Petter Tinghög

Abstract

Multiple sclerosis (MS) causes work disability and healthcare resource use, but little is known about the distribution of the associated costs to society. We estimated the cost of illness (COI) of working-aged individuals with MS, from the societal perspective, overall and in different groups. A population-based study was conducted, using data linked from several nationwide registers, on 14,077 individuals with MS, aged 20-64 years and living in Sweden. Prevalence-based direct and indirect costs in 2010 were calculated, including costs for prescription drug use, specialized healthcare, sick leave, and disability pension. The estimated COI of all the MS patients were SEK 3950 million, of which 75% were indirect costs. MS was the main diagnosis for resource use, causing 38% of healthcare costs and 67% of indirect costs. The distribution of costs was skewed, in which less than 25% of the patients accounted for half the total COI. Indirect costs contributed to approximately 75% of the estimated overall COI of MS patients of working age in Sweden. MS was the main diagnosis for more than half of the estimated COI in this patient group. Further studies are needed to gain knowledge on development of costs over time during the MS disease course.

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The data shown below were collected from the profiles of 4 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 23%
Student > Master 10 19%
Student > Ph. D. Student 7 13%
Other 4 8%
Professor > Associate Professor 4 8%
Other 7 13%
Unknown 9 17%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Economics, Econometrics and Finance 6 11%
Neuroscience 4 8%
Nursing and Health Professions 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 8 15%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 January 2020.
All research outputs
#6,375,394
of 25,382,440 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#418
of 1,303 outputs
Outputs of similar age
#93,265
of 325,039 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#13
of 28 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 67% 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 325,039 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 71% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.