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Influence of Continuing Medical Education on Rheumatologists’ Performance on National Quality Measures for Rheumatoid Arthritis

Overview of attention for article published in Rheumatology and Therapy, October 2015
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Title
Influence of Continuing Medical Education on Rheumatologists’ Performance on National Quality Measures for Rheumatoid Arthritis
Published in
Rheumatology and Therapy, October 2015
DOI 10.1007/s40744-015-0018-7
Pubmed ID
Authors

Tamar Sapir, Erica Rusie, Laurence Greene, Jinoos Yazdany, Mark L. Robbins, Eric M. Ruderman, Jeffrey D. Carter, Barry Patel, Kathleen Moreo

Abstract

In recent years researchers have reported deficits in the quality of care provided to patients with rheumatoid arthritis (RA), including low rates of performance on quality measures. We sought to determine the influence of a quality improvement (QI) continuing education program on rheumatologists' performance on national quality measures for RA, along with other measures aligned with National Quality Strategy priorities. Performance was assessed through baseline and post-education chart audits. Twenty community-based rheumatologists across the United States were recruited to participate in the QI education program and chart audits. Charts were retrospectively audited before (n = 160 charts) and after (n = 160 charts) the rheumatologists participated in a series of accredited QI-focused educational activities that included private audit feedback, small-group webinars, and online- and mobile-accessible print and video activities. The charts were audited for patient demographics and the rheumatologists' documented performance on the 6 quality measures for RA included in the Physician Quality Reporting System (PQRS). In addition, charts were abstracted for documentation of patient counseling about medication benefits/risks and adherence, lifestyle modifications, and quality of life; assessment of RA medication side effects; and assessment of RA medication adherence. Mean rates of documented performance on 4 of the 6 PQRS measures for RA were significantly higher in the post-education versus baseline charts (absolute increases ranged from 9 to 24% of patient charts). In addition, after the intervention, significantly higher mean rates were observed for patient counseling about medications and quality of life, and for assessments of medication side effects and adherence (absolute increases ranged from 9 to 40% of patient charts). This pragmatic study provides preliminary evidence for the positive influence of QI-focused education in helping rheumatologists improve performance on national quality measures for RA.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Master 4 15%
Student > Ph. D. Student 3 11%
Other 2 7%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Nursing and Health Professions 2 7%
Agricultural and Biological Sciences 2 7%
Psychology 1 4%
Arts and Humanities 1 4%
Other 2 7%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 October 2015.
All research outputs
#18,428,159
of 22,829,683 outputs
Outputs from Rheumatology and Therapy
#332
of 475 outputs
Outputs of similar age
#197,662
of 274,923 outputs
Outputs of similar age from Rheumatology and Therapy
#2
of 4 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 475 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 1st percentile – i.e., 1% 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 274,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.