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Rheumatoid Arthritis Referrals and Rheumatologist Scarcity: A Prioritization Tool

Overview of attention for article published in Arthritis Care & Research, February 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

Citations

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Title
Rheumatoid Arthritis Referrals and Rheumatologist Scarcity: A Prioritization Tool
Published in
Arthritis Care & Research, February 2015
DOI 10.1002/acr.22449
Pubmed ID
Authors

Lisa L. Cummins, Venkat Vangaveti, Lynden J. Roberts

Abstract

Objectives: To assess whether applying the 2010 ACR/EULAR Classification Criteria for rheumatoid arthritis (RA) to primary care referrals improved triage decisions and reduced waiting times; and to determine the sensitivity and specificity of this strategy. Methods: The 2010 ACR/EULAR Classification Criteria for RA were prospectively applied over 8 months to all new adult rheumatology referrals with possible inflammatory arthritis. If the referral contained insufficient information, a request was sent for more information. Joint count was based on GP report and definite swelling was not required. Referrals meeting triage criteria were offered an appointment within 6 weeks. Data was collected on rheumatologist diagnosis, DMARD use and waiting times. Results: Of 457 referrals screened, 180 met inclusion and exclusion criteria, and 143 had sufficient data after requests for information. Seventy-one referrals met triage criteria, and of the 63 attending the appointment, 25 (40%) received a rheumatologist diagnosis of RA. Seventy-two referrals did not meet criteria, and 1/49 attending (2%) had RA. The characteristics of the tool for a diagnosis of RA were: sensitivity 96%, specificity 56%, positive predictive value 40%, and negative predictive value 98%. Median wait times for referrals fulfilling and not fulfilling triage tool criteria were 7.9 weeks and 45.4 weeks respectively. Conclusion: Implementing the 2010 ACR/EULAR Classification Criteria for RA as a prioritisation tool for primary care referrals improved the yield of patients subsequently diagnosed with RA. Waiting time was reduced for RA patients. Applying this strategy in areas of rheumatologist scarcity may permit earlier DMARD treatment. © 2014 American College of Rheumatology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Spain 1 2%
Austria 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 27%
Student > Bachelor 6 13%
Professor > Associate Professor 4 9%
Other 3 7%
Student > Ph. D. Student 3 7%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Social Sciences 3 7%
Nursing and Health Professions 2 4%
Decision Sciences 2 4%
Psychology 2 4%
Other 9 20%
Unknown 12 27%
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 04 May 2015.
All research outputs
#6,021,873
of 24,577,646 outputs
Outputs from Arthritis Care & Research
#1,543
of 2,894 outputs
Outputs of similar age
#63,055
of 260,204 outputs
Outputs of similar age from Arthritis Care & Research
#25
of 42 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 260,204 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 75% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.