Literature DB >> 32145656

Improving medication safety in the Intensive Care by identifying relevant drug-drug interactions - Results of a multicenter Delphi study.

Tinka Bakker1, Joanna E Klopotowska2, Nicolette F de Keizer3, Rob van Marum4, Heleen van der Sijs5, Dylan W de Lange6, Evert de Jonge7, Ameen Abu-Hanna8, Dave A Dongelmans9.   

Abstract

PURPOSE: Drug-drug interactions (DDIs) may cause adverse outcomes in patients admitted to the Intensive Care Unit (ICU). Computerized decision support systems (CDSSs) may help prevent DDIs by timely showing relevant warning alerts, but knowledge on which DDIs are clinically relevant in the ICU setting is limited. Therefore, the purpose of this study was to identify DDIs relevant for the ICU.
MATERIALS AND METHODS: We conducted a modified Delphi procedure with a Dutch multidisciplinary expert panel consisting of intensivists and hospital pharmacists to assess the clinical relevance of DDIs for the ICU. The procedure consisted of two rounds, each included a questionnaire followed by a live consensus meeting.
RESULTS: In total the clinical relevance of 148 DDIs was assessed, of which agreement regarding the relevance was reached for 139 DDIs (94%). Of these 139 DDIs, 53 (38%) were considered not clinically relevant for the ICU setting.
CONCLUSIONS: A list of clinically relevant DDIs for the ICU setting was established on a national level. The clinical value of CDSSs for medication safety could be improved by focusing on the identified clinically relevant DDIs, thereby avoiding alert fatigue.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alert fatigue; Computerized decision support systems; Delphi; Drug-drug interactions; Intensive care

Mesh:

Substances:

Year:  2020        PMID: 32145656     DOI: 10.1016/j.jcrc.2020.02.012

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  3 in total

1.  Designing and evaluating contextualized drug-drug interaction algorithms.

Authors:  Eric Chou; Richard D Boyce; Baran Balkan; Vignesh Subbian; Andrew Romero; Philip D Hansten; John R Horn; Sheila Gephart; Daniel C Malone
Journal:  JAMIA Open       Date:  2021-03-19

Review 2.  Utility, promise, and limitations of liquid chromatography-mass spectrometry-based therapeutic drug monitoring in precision medicine.

Authors:  Vanessa P Gaspar; Sahar Ibrahim; René P Zahedi; Christoph H Borchers
Journal:  J Mass Spectrom       Date:  2021-11-04       Impact factor: 1.982

Review 3.  Heterogeneity in the Identification of Potential Drug-Drug Interactions in the Intensive Care Unit: A Systematic Review, Critical Appraisal, and Reporting Recommendations.

Authors:  Tinka Bakker; Dave A Dongelmans; Ehsan Nabovati; Saeid Eslami; Nicolette F de Keizer; Ameen Abu-Hanna; Joanna E Klopotowska
Journal:  J Clin Pharmacol       Date:  2022-02-21       Impact factor: 2.860

  3 in total

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