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Unintended consequences of reducing QT-alert overload in a computerized physician order entry system

Overview of attention for article published in European Journal of Clinical Pharmacology, May 2009
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Title
Unintended consequences of reducing QT-alert overload in a computerized physician order entry system
Published in
European Journal of Clinical Pharmacology, May 2009
DOI 10.1007/s00228-009-0654-3
Pubmed ID
Authors

Heleen van der Sijs, Ravi Kowlesar, Jos Aarts, Marc Berg, Arnold Vulto, Teun van Gelder

Abstract

After complaints of too many low-specificity drug-drug interaction (DDI) alerts on QT prolongation, the rules for QT alerting in the Dutch national drug database were restricted in 2007 to obviously QT-prolonging drugs. The aim of this virtual study was to investigate whether this adjustment would improve the identification of patients at risk of developing Torsades de Pointes (TdP) due to QT-prolonging drug combinations in a computerized physician order entry system (CPOE) and whether these new rules should be implemented.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Saudi Arabia 2 3%
Netherlands 1 2%
Colombia 1 2%
Canada 1 2%
Unknown 52 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 11 19%
Student > Master 7 12%
Student > Postgraduate 6 10%
Other 5 8%
Other 16 27%
Unknown 2 3%
Readers by discipline Count As %
Medicine and Dentistry 27 46%
Computer Science 9 15%
Nursing and Health Professions 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Agricultural and Biological Sciences 4 7%
Other 5 8%
Unknown 3 5%
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 29 November 2014.
All research outputs
#20,947,998
of 25,728,855 outputs
Outputs from European Journal of Clinical Pharmacology
#2,398
of 2,775 outputs
Outputs of similar age
#96,261
of 104,400 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#9
of 9 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,775 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 7th percentile – i.e., 7% 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 104,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
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