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Assessing Appropriateness of Antimicrobial Therapy: In the Eye of the Interpreter

Overview of attention for article published in Clinical Infectious Diseases, October 2014
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120 Mendeley
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Article details
Title
Assessing Appropriateness of Antimicrobial Therapy: In the Eye of the Interpreter
Published in
Clinical Infectious Diseases, October 2014
DOI 10.1093/cid/ciu548
Pubmed ID
Authors
Abstract

To address the increase of drug-resistant bacteria and widespread inappropriate use of antimicrobials, many healthcare institutions have implemented antimicrobial stewardship programs to promote appropriate use of antimicrobials and optimize patient outcomes. However, a consensus definition of appropriate use is lacking. We conducted a multicenter observational study to compare 4 definitions of appropriateness-a study site-specific definition, use supported by susceptibility data, use supported by electronic drug information resources (Clinical Pharmacology/Micromedex), or study site principal investigator (PI) opinion-among patients receiving 1 or more of 13 identified antimicrobials. Data were collected for 262 patients. Overall, appropriateness with the 4 definitions ranged from 79% based on PI opinion to 94% based on susceptibility data. No single definition resulted in consistently high appropriate use for all target antimicrobials. For individual antimicrobials, the definitions with the highest rate of appropriate use were Clinical Pharmacology/Micromedex support (6 of 7 antimicrobials) and susceptibility data (5 of 7 antimicrobials). For specific indications, support from susceptibility data resulted in the highest rate of appropriate use (4 of 7 indications). Overall comparisons showed that appropriateness assessed by PI opinion differed significantly compared with other definitions when stratified by either target antimicrobial or indication. The significant variability in the rate of appropriate use highlights the difficulty in developing a standardized definition that can be used to benchmark judicious antimicrobial use.

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X Demographics

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The data shown below were collected from the profiles of 4 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 120 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 %
United Kingdom 2 2%
Unknown 118 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 16%
Student > Ph. D. Student 16 13%
Other 14 12%
Student > Master 14 12%
Student > Postgraduate 11 9%
Other 17 14%
Unknown 29 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 46 38%
Pharmacology, Toxicology and Pharmaceutical Science 10 8%
Veterinary Science and Veterinary Medicine 5 4%
Psychology 5 4%
Agricultural and Biological Sciences 4 3%
Other 18 15%
Unknown 32 27%
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 05 April 2017.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from Clinical Infectious Diseases
#13,067
of 16,853 outputs
Outputs of similar age
#140,539
of 268,068 outputs
Outputs of similar age from Clinical Infectious Diseases
#136
of 252 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one is in the 21st percentile – i.e., 21% 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 268,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.