Literature DB >> 29440481

Prospective evaluation of medication-related clinical decision support over-rides in the intensive care unit.

Adrian Wong1, Mary G Amato1,2, Diane L Seger3, Christine Rehr1, Adam Wright4,5, Sarah P Slight6,7, Patrick E Beeler8, E John Orav9, David W Bates1.   

Abstract

BACKGROUND: Clinical decision support (CDS) displayed in electronic health records has been found to reduce the incidence of medication errors and adverse drug events (ADE). Recent data suggested that medication-related CDS alerts were frequently over-ridden, often inappropriately. Patients in the intensive care unit (ICU) are at an increased risk of ADEs; however, limited data exist on the benefits of CDS in the ICU. This study aims to evaluate potential harm associated with medication-related CDS over-rides in the ICU.
METHODS: This was a prospective observational study of adults admitted to any of six ICUs between July 2016 and April 2017 at our institution. Patients with provider-overridden CDS for dose (orders for scheduled frequency and not pro re nata), drug allergy, drug-drug interaction, geriatric and renal alerts (contraindicated medications for renal function or renal dosing) were included. The primary outcome was the appropriateness of over-rides, which were evaluated by two independent reviewers. Secondary outcomes included incidence of ADEs following alert over-ride and risk of ADEs based on over-ride appropriateness.
RESULTS: A total of 2448 over-ridden alerts from 712 unique patient encounters met inclusion criteria. The overall appropriateness rate for over-rides was 81.6% and varied by alert type. More ADEs (potential and definite) were identified following inappropriate over-rides compared with appropriate over-rides (16.5 vs 2.74 per 100 over-ridden alerts, Fisher's exact test P<0.001). An adjusted logistic regression model showed that inappropriate over-rides were associated with an increased risk of ADEs (OR 6.14, 95% CI 4.63 to 7.71, P<0.001).
CONCLUSIONS: Approximately four of five identified CDS over-rides were appropriately over-ridden, with the rate varying by alert type. However, inappropriate over-rides were six times as likely to be associated with potential and definite ADEs, compared with appropriate over-rides. Further efforts should be targeted at improving the positive predictive value of CDS such as by suppressing alerts that are appropriately over-ridden. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  adverse drug event; clinical decision support; critical care; informatics; patient safety; quality of care

Mesh:

Year:  2018        PMID: 29440481     DOI: 10.1136/bmjqs-2017-007531

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  17 in total

1.  The Future CPOE Workflow: Augmenting Clinical Decision Support With Pharmacist Expertise.

Authors:  John A Dougherty; Mark Bonfiglio
Journal:  Hosp Pharm       Date:  2018-08-03

2.  Evaluation of Harm Associated with High Dose-Range Clinical Decision Support Overrides in the Intensive Care Unit.

Authors:  Adrian Wong; Christine Rehr; Diane L Seger; Mary G Amato; Patrick E Beeler; Sarah P Slight; Adam Wright; David W Bates
Journal:  Drug Saf       Date:  2019-04       Impact factor: 5.606

3.  The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate.

Authors:  Amy M Knight; Joyce Maygers; Kimberly A Foltz; Isha S John; Hsin Chieh Yeh; Daniel J Brotman
Journal:  Appl Clin Inform       Date:  2019-12-04       Impact factor: 2.342

4.  High-priority drug-drug interaction clinical decision support overrides in a newly implemented commercial computerized provider order-entry system: Override appropriateness and adverse drug events.

Authors:  Heba Edrees; Mary G Amato; Adrian Wong; Diane L Seger; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

5.  An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach.

Authors:  Wim Van Biesen; Daan Van Cauwenberge; Johan Decruyenaere; Tamara Leune; Sigrid Sterckx
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-16       Impact factor: 3.298

6.  Clinician Perceptions of Timing and Presentation of Drug-Drug Interaction Alerts.

Authors:  Kate E Humphrey; Maria Mirica; Shobha Phansalkar; Al Ozonoff; Marvin B Harper
Journal:  Appl Clin Inform       Date:  2020-07-22       Impact factor: 2.342

7.  Determining Inappropriate Medication Alerts from "Inaccurate Warning" Overrides in the Intensive Care Unit.

Authors:  Christine A Rehr; Adrian Wong; Diane L Seger; David W Bates
Journal:  Appl Clin Inform       Date:  2018-04-25       Impact factor: 2.342

Review 8.  Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review.

Authors:  Ian A Scott; Peter I Pillans; Michael Barras; Christopher Morris
Journal:  Ther Adv Drug Saf       Date:  2018-07-12

9.  Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts.

Authors:  Jason M Baron; Richard Huang; Dustin McEvoy; Anand S Dighe
Journal:  JAMIA Open       Date:  2021-03-01

10.  Application of a Computerized Decision Support System to Develop Care Strategies for Elderly Hemodialysis Patients.

Authors:  Yiqiu Zhu; Xiyi Zheng
Journal:  J Healthc Eng       Date:  2021-06-19       Impact factor: 2.682

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