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A risk adjustment approach to estimating the burden of skin disease in the United States

Overview of attention for article published in Journal of the American Academy of Dermatology, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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1 news outlet
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2 X users
facebook
3 Facebook pages

Readers on

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39 Mendeley
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Article details
Title
A risk adjustment approach to estimating the burden of skin disease in the United States
Published in
Journal of the American Academy of Dermatology, October 2017
DOI 10.1016/j.jaad.2017.08.060
Pubmed ID
Authors
Abstract

Direct insurance claims tabulation and risk adjustment statistical methods can be used to estimate health care costs associated with various diseases. In this third manuscript derived from the new national Burden of Skin Disease Report from the American Academy of Dermatology, a risk adjustment method that was based on modeling the average annual costs of individuals with or without specific diseases, and specifically tailored for 24 skin disease categories, was used to estimate the economic burden of skin disease. The results were compared with the claims tabulation method used in the first 2 parts of this project. The risk adjustment method estimated the direct health care costs of skin diseases to be $46 billion in 2013, approximately $15 billion less than estimates using claims tabulation. For individual skin diseases, the risk adjustment cost estimates ranged from 11% to 297% of those obtained using claims tabulation for the 10 most costly skin disease categories. Although either method may be used for purposes of estimating the costs of skin disease, the choice of method will affect the end result. These findings serve as an important reference for future discussions about the method chosen in health care payment models to estimate both the cost of skin disease and the potential cost impact of care changes.

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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 15%
Other 4 10%
Student > Doctoral Student 4 10%
Student > Master 4 10%
Student > Ph. D. Student 2 5%
Other 4 10%
Unknown 15 38%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Nursing and Health Professions 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Psychology 2 5%
Social Sciences 2 5%
Other 5 13%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 11 January 2018.
All research outputs
#3,275,940
of 25,382,440 outputs
Outputs from Journal of the American Academy of Dermatology
#1,975
of 10,730 outputs
Outputs of similar age
#59,781
of 339,185 outputs
Outputs of similar age from Journal of the American Academy of Dermatology
#63
of 212 outputs
Altmetric has tracked 25,382,440 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 10,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 81% 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 339,185 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 82% of its contemporaries.
We're also able to compare this research output to 212 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 70% of its contemporaries.