학술논문
Targeted messaging to improve the adoption of clinical decision support for prescription drug monitoring program use.
Document Type
Academic Journal
Author
Sommers S; Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.; Tolle H; Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.; Napier C; Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.; Hoppe J; Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, Colorado, USA.
Source
Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Subject
Language
English
Abstract
Clinical decision support (CDS) can prevent medical errors and improve patient outcomes. Electronic health record (EHR)-based CDS, designed to facilitate prescription drug monitoring program (PDMP) review, has reduced inappropriate opioid prescribing. However, the pooled effectiveness of CDS has exhibited substantial heterogeneity and current literature does not adequately detail why certain CDS are more successful than others. Clinicians regularly override CDS, limiting its impact. No studies recommend how to help nonadopters recognize and recover from CDS misuse. We hypothesized that a targeted educational intervention would improve CDS adoption and effectiveness for nonadopters. Over 10 months, we identified 478 providers consistently overriding CDS (nonadopters) and sent each up to 3 educational message(s) via email or EHR-based chat. One hundred sixty-one (34%) nonadopters stopped consistently overriding CDS and started reviewing the PDMP after contact. We concluded that targeted messaging is a low-resource way to disseminate CDS education and improve CDS adoption and best practice delivery.
(© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
(© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)