Overriding Drug-Drug Interaction Alerts in Clinical Decision Support Systems: A Scoping Review.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
06 Jun 2022
Historique:
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 10 6 2022
Statut: ppublish

Résumé

Ineffective computerized alerts for potential Drug-Drug Interactions (DDI) is a longstanding informatics issue. Prescribing clinicians often ignore or override such alerts due to lack of context and clinical relevance, among various other reasons. In this study, we reveiwed published data on the rate of DDI alert overrides and medications involved in the overrides. We identified 34 eligible studies from sites across Asia, Europe, the United States, and the United Kingdom. The override rate of DDI alerts ranged from 55% to 98%, with more than half of the studies reporting the most common drug pairs or medications involved in acceptance or overriding of alerts. The high prevalance of alert overrides highlights the need for decision support systems that take user, drug, and institutional factors into consideration, as well as actionable metrics to better characterize harm associated with overrides.

Identifiants

pubmed: 35673040
pii: SHTI220101
doi: 10.3233/SHTI220101
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

380-384

Subventions

Organisme : AHRQ HHS
ID : R01 HS025984
Pays : United States

Auteurs

Lorenzo Villa Zapata (L)

Department of Pharmacy Practice, College of Pharmacy, Mercer University, Atlanta, Georgia, USA.

Vignesh Subbian (V)

College of Engineering, The University of Arizona, Tucson, Arizona, USA.

Richard D Boyce (RD)

Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Philip D Hansten (PD)

School of Pharmacy, University of Washington, Seattle, Washington, USA.

John R Horn (JR)

School of Pharmacy, University of Washington, Seattle, Washington, USA.

Sheila M Gephart (SM)

College of Nursing, The University of Arizona, Tucson, Arizona, USA.

Andrew Romero (A)

Department of Pharmacy, Banner University Medical Center, Tucson, Arizona, USA.

Daniel C Malone (DC)

College of Pharmacy, L.S. Skaggs Research Institute, University of Utah, Salt Lake City, Utah, USA.

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Classifications MeSH