Adverse events targeted by drug-drug interaction alerts in hospitalized patients. (November 2020)

• Record Type: Journal Article
• Authors: Gatenby, James; Blomqvist, Magnus; Burke, Rosemary; Ritchie, Angus; Gibson, Kathy; Patanwala, Asad E.
• Is Part Of: International journal of medical informatics. Volume 143(2020)
• Publication Date: 2020-11
• Subjects: Drug interactions -- Patient safety -- Medication errors -- Electronic health records -- Decision support systems clinical; Medical informatics -- Periodicals; Information science -- Periodicals; Computers -- Periodicals; Medical technology -- Periodicals; Medical Informatics -- Periodicals; Technology, Medical -- Periodicals; Computers; Information science; Medical informatics; Medical technology; Electronic journals; Periodicals; Electronic journals; 610.285
• DOI: 10.1016/j.ijmedinf.2020.104266
• Languages: English
• ISSNs: 1386-5056

Abstract

Highlights: There are numerous drug-drug interaction alerts that prescribers encounter. Alerts are trying to prevent QTc interval prolongation or extrapyramidal symptoms. Most alerts are low value and ultimately overridden by prescribers. Abstract: Objective: To identify the types of adverse drug events (ADEs) that drug-drug interaction (DDI) alerts are trying to prevent in hospitalized patients. Methods: This was a retrospective cross-sectional study conducted in a tertiary referral hospital in Australia. All DDI alerts encountered by prescribers during a 1-month period were evaluated for potential ADEs targeted for prevention. If the same DDI alert occurred for the same patient multiple times during hospitalization, it was counted only once (i.e. first alert). This was termed a 'unique DDI alert' for a given patient. The primary outcome was the type of ADE the alerts were trying to prevent. Results: There were 715 patients who had 1599 unique DDI alerts. The two most common potential ADEs (not mutually exclusive) that the alerts attempted to prevent were QTc prolongation or torsades de pointes (n = 1028/1599, 64 %), followed by extrapyramidal symptoms or neuroleptic malignant syndrome (n = 463/1599, 29 %). Either of these two potential ADEs were present in 83 % (n = 1329/1599) of unique DDI alerts. Conclusion: Alerting systems are primarily trying to prevent two types of potential ADEs, which were included in more than 80 % of DDI alerts. This has important implications for patient monitoring in hospitals.