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Implementation of automated reporting of estimated glomerular filtration rate among Veterans Affairs laboratories: a retrospective study

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2012
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Title
Implementation of automated reporting of estimated glomerular filtration rate among Veterans Affairs laboratories: a retrospective study
Published in
BMC Medical Informatics and Decision Making, July 2012
DOI 10.1186/1472-6947-12-69
Pubmed ID
Authors

Rasheeda K Hall, Virginia Wang, George L Jackson, Bradley G Hammill, Matthew L Maciejewski, Elizabeth M Yano, Laura P Svetkey, Uptal D Patel

Abstract

Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical to optimal medical decision-making, several clinical practice guidelines have recommended the use of automated eGFR reporting. Since its introduction, automated eGFR reporting has not been uniformly implemented by U. S. laboratories despite the growing prevalence of CKD. CKD is highly prevalent within the Veterans Health Administration (VHA), and implementation of automated eGFR reporting within this integrated healthcare system has the potential to improve care. In July 2004, the VHA adopted automated eGFR reporting through a system-wide mandate for software implementation by individual VHA laboratories. This study examines the timing of software implementation by individual VHA laboratories and factors associated with implementation.

X Demographics

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The data shown below were collected from the profiles of 3 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 16%
Student > Master 4 11%
Student > Ph. D. Student 4 11%
Other 3 8%
Librarian 2 5%
Other 7 19%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Nursing and Health Professions 7 19%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 8%
Unknown 16 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 February 2015.
All research outputs
#14,147,730
of 22,671,366 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,978 outputs
Outputs of similar age
#96,669
of 164,330 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 49 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 164,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.