1. Clinically Inconsequential Alerts: The Characteristics of Opioid Drug Alerts and Their Utility in Preventing Adverse Drug Events in the Emergency Department
- Author
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Hanna K. Flaten, Jeri E. Forster, Emma K. Genco, Foster R. Goss, Kennon Heard, Jason A. Hoppe, and Andrew A. Monte
- Subjects
Adult ,Male ,Drug ,medicine.medical_specialty ,Adolescent ,Drug-Related Side Effects and Adverse Reactions ,020205 medical informatics ,media_common.quotation_subject ,02 engineering and technology ,Clinical decision support system ,Article ,Pharmacovigilance ,03 medical and health sciences ,Patient safety ,0302 clinical medicine ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Adverse Drug Reaction Reporting Systems ,Humans ,Medication Errors ,030212 general & internal medicine ,Aged ,Retrospective Studies ,media_common ,Aged, 80 and over ,business.industry ,Retrospective cohort study ,Emergency department ,Middle Aged ,Decision Support Systems, Clinical ,medicine.disease ,Analgesics, Opioid ,Opioid ,Relative risk ,Emergency medicine ,Emergency Medicine ,Female ,Medical emergency ,Emergency Service, Hospital ,business ,medicine.drug - Abstract
Study objective We examine the characteristics of clinical decision support alerts triggered when opioids are prescribed, including alert type, override rates, adverse drug events associated with opioids, and preventable adverse drug events. Methods This was a retrospective chart review study assessing adverse drug event occurrences for emergency department (ED) visits in a large urban academic medical center using a commercial electronic health record system with clinical decision support. Participants include those aged 18 to 89 years who arrived to the ED every fifth day between September 2012 and January 2013. The main outcome was characteristics of opioid drug alerts, including alert type, override rates, opioid-related adverse drug events, and adverse drug event preventability by clinical decision support. Results Opioid drug alerts were more likely to be overridden than nonopioid alerts (relative risk 1.35; 95% confidence interval [CI] 1.21 to 1.50). Opioid drug-allergy alerts were twice as likely to be overridden (relative risk 2.24; 95% CI 1.74 to 2.89). Opioid duplicate therapy alerts were 1.57 times as likely to be overridden (95% CI 1.30 to 1.89). Fourteen of 4,581 patients experienced an adverse drug event (0.31%; 95% CI 0.15% to 0.47%), and 8 were due to opioids (57.1%). None of the adverse drug events were preventable by clinical decision support. However, 46 alerts were accepted for 38 patients that averted a potential adverse drug event. Overall, 98.9% of opioid alerts did not result in an actual or averted adverse drug event, and 96.3% of opioid alerts were overridden. Conclusion Overridden opioid alerts did not result in adverse drug events. Clinical decision support successfully prevented adverse drug events at the expense of generating a large volume of inconsequential alerts. To prevent 1 adverse drug event, providers dealt with more than 123 unnecessary alerts. It is essential to refine clinical decision support alerting systems to eliminate inconsequential alerts to prevent alert fatigue and maintain patient safety.
- Published
- 2016
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