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Survey of primary care providers’ knowledge of screening for, diagnosing and managing prediabetes

Overview of attention for article published in Journal of General Internal Medicine, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 7,806)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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80 news outlets
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17 X users
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2 Facebook pages

Citations

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57 Dimensions

Readers on

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103 Mendeley
Title
Survey of primary care providers’ knowledge of screening for, diagnosing and managing prediabetes
Published in
Journal of General Internal Medicine, July 2017
DOI 10.1007/s11606-017-4103-1
Pubmed ID
Authors

Eva Tseng, Raquel C. Greer, Paul O’Rourke, Hsin-Chieh Yeh, Maura M. McGuire, Jeanne M. Clark, Nisa M. Maruthur

Abstract

Prediabetes affects 86 million US adults, but primary care providers' (PCPs') knowledge, practices, attitudes and beliefs toward prediabetes are unclear. Assess PCPs' (1) knowledge of risk factors that should prompt prediabetes screening, laboratory criteria for diagnosing prediabetes and guidelines for management of prediabetes; (2) management practices around prediabetes; (3) attitudes and beliefs about prediabetes. Self-administered written survey of PCPs. One hundred forty of 155 PCPs (90%) attending an annual provider retreat for academically affiliated multispecialty practices in the mid-Atlantic region. Descriptive analyses of survey questions on knowledge, management, and attitudes and beliefs related to prediabetes. Multivariate logistic regression was used to determine the association between provider characteristics (gender, race/ethnicity, years since training, specialty and provider type) and knowledge, management, and attitudes and beliefs about prediabetes. Six percent of PCPs correctly identified all of the risk factors that should prompt prediabetes screening. Only 17% of PCPs correctly identified the laboratory parameters for diagnosing prediabetes based on both fasting glucose and hemoglobin A1c. Nearly 90% of PCPs reported close follow-up (within 6 months) of patients with prediabetes. Few PCPs (11%) selected referral to a behavioral weight loss program as the recommended initial management approach to prediabetes. PCPs agreed that patient-related factors are important barriers to lifestyle change and metformin use. Provider characteristics were generally not associated with knowledge, management, attitudes and beliefs about prediabetes in multivariate analyses. Addressing gaps in knowledge and the underutilization of behavioral weight loss programs in prediabetes are two essential areas where PCPs could take a lead in curbing the diabetes epidemic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 14%
Student > Master 12 12%
Researcher 9 9%
Student > Ph. D. Student 9 9%
Student > Postgraduate 7 7%
Other 16 16%
Unknown 36 35%
Readers by discipline Count As %
Medicine and Dentistry 32 31%
Nursing and Health Professions 14 14%
Social Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 7%
Unknown 43 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 634. 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 20 December 2020.
All research outputs
#31,306
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#25
of 7,806 outputs
Outputs of similar age
#671
of 317,824 outputs
Outputs of similar age from Journal of General Internal Medicine
#1
of 75 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 99% 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 317,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.