Adherence to drug-drug interaction alerts in highrisk patients: A trial of context-enhanced alerting

Jon D. Duke Dr., Xiaochun Li, Paul Dexter

Research output: Contribution to journalArticle

37 Scopus citations

Abstract

Objective: Drug-drug interaction (DDI) alerting is an important form of clinical decision support, yet physicians often fail to attend to critical DDI warnings due to alert fatigue. We previously described a model for highlighting patients at high risk of a DDI by enhancing alerts with relevant laboratory data. We sought to evaluate the effect of this model on alert adherence in high-risk patients. Methods: A 6-month randomized controlled trial involving 1029 outpatient physicians was performed. The target interactions were all DDIs known to cause hyperkalemia. Alerts in the intervention group were enhanced with the patient's most recent potassium and creatinine levels. The control group received unmodified alerts. High -risk patients were those with baseline potassium >5.0 mEq/l and/or creatinine =1.5 mg/dl (132 μmol/l). Results: We found no significant difference in alert adherence in high-risk patients between the intervention group (15.3%) and the control group (16.8%) ( p=0.71). Adherence in normal risk patients was significantly lower in the intervention group (14.6%) than in the control group (18.6%) ( p<0.01). In neither group did physicians increase adherence in patients at high risk. Conclusions: Physicians adhere poorly to hyperkalemiaassociated DDI alerts even in patients with risk factors for a clinically significant interaction, and the display of relevant laboratory data in these alerts did not improve adherence levels in the outpatient setting. Further research is necessary to determine optimal strategies for conveying patient-specific DDI risk.

Original languageEnglish (US)
Pages (from-to)494-498
Number of pages5
JournalJournal of the American Medical Informatics Association
Volume20
Issue number3
DOIs
StatePublished - 2013

ASJC Scopus subject areas

  • Health Informatics

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