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Evaluation of alerts for potassium-increasing drug-drug-interactions


Eschmann, Emmanuel; Beeler, Patrick E; Zünd, Gregor; Blaser, Jürg (2013). Evaluation of alerts for potassium-increasing drug-drug-interactions. In: Lehmann, Christoph Ulrich; Ammenwerth, Elske; Nøhr, Christian. MEDINFO 2013. Amsterdam, Berlin, Tokyo, Washington DC: IOS Press, 1056.

Abstract

Electronic alerts for preventing hyperkalaemia during potassium-increasing drug-drug-interactions (DDIs) are often overridden due to their low specificity. Treatments of 76,467 inpatients were retrospectively analysed to establish more specific alerts. Alerting concepts for identifying DDIs that induced hyperkalaemia (serum potassium ≥5.5 mEq/l were compared. The positive predictive value (PPV) of alerts was 2.9% if they were triggered at onset of each potassium-increasing DDI. The PPV increased to 5.1% if alerts at onset were suppressed for serum potassium levels of <4.0 mEq/l. The PPV rose to 24.2% with a novel approach, triggering alerts whenever an elevated potassium level of >4.8 mEq/l was detected at onset or during the entire DDI period. Thus, triggering DDI alerts based on periodically monitored potassium levels may improve specificity of alerts and thereby reduce alert fatigue.

Abstract

Electronic alerts for preventing hyperkalaemia during potassium-increasing drug-drug-interactions (DDIs) are often overridden due to their low specificity. Treatments of 76,467 inpatients were retrospectively analysed to establish more specific alerts. Alerting concepts for identifying DDIs that induced hyperkalaemia (serum potassium ≥5.5 mEq/l were compared. The positive predictive value (PPV) of alerts was 2.9% if they were triggered at onset of each potassium-increasing DDI. The PPV increased to 5.1% if alerts at onset were suppressed for serum potassium levels of <4.0 mEq/l. The PPV rose to 24.2% with a novel approach, triggering alerts whenever an elevated potassium level of >4.8 mEq/l was detected at onset or during the entire DDI period. Thus, triggering DDI alerts based on periodically monitored potassium levels may improve specificity of alerts and thereby reduce alert fatigue.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute for Regenerative Medicine (IREM)
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:2013
Deposited On:15 Dec 2014 14:19
Last Modified:15 Dec 2016 14:48
Publisher:IOS Press
Series Name:Studies in Health Technology and Informatics
Number:192
ISSN:0926-9630
ISBN:978-1-61499-288-2 (print), 978-1-61499-289-9 (online)
Publisher DOI:https://doi.org/10.3233/978-1-61499-289-9-1056
Related URLs:http://ebooks.iospress.nl/volume/medinfo-2013-proceedings-of-the-14th-world-congress-on-medical-and-health-informatics (Publisher)
PubMed ID:23920830

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