Literature DB >> 32337561

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.

Heba Edrees1, Mary G Amato1,2, Adrian Wong1,2, Diane L Seger2,3, David W Bates2,3,4.   

Abstract

OBJECTIVE: The study sought to determine frequency and appropriateness of overrides of high-priority drug-drug interaction (DDI) alerts and whether adverse drug events (ADEs) were associated with overrides in a newly implemented electronic health record.
MATERIALS AND METHODS: We conducted a retrospective study of overridden high-priority DDI alerts occurring from April 1, 2016, to March 31, 2017, from inpatient and outpatient settings at an academic health center. We studied highest-severity DDIs that were previously designated as "hard stops" and additional high-priority DDIs identified from clinical experience and literature review. All highest-severity alert overrides (n = 193) plus a stratified random sample of additional overrides (n = 371) were evaluated for override appropriateness, using predetermined criteria. Charts were reviewed to identify ADEs for overrides that resulted in medication administration. A chi-square test was used to compare ADE rate by override appropriateness.
RESULTS: Of 16 011 alerts presented to providers, 15 318 (95.7%) were overridden, including 193 (87.3%) of the highest-severity DDIs and 15 125 (95.8%) of additional DDIs. Override appropriateness was 45.4% overall, 0.5% for highest-severity DDIs and 68.7% for additional DDIs. For alerts that resulted in medication administration (n = 423, 75.0%), 29 ADEs were identified (6.9%, 5.1 per 100 overrides). The rate of ADEs was higher with inappropriate vs appropriate overrides (9.4% vs 4.3%; P = .038).
CONCLUSIONS: The override rate was nearly 90% for even the highest-severity DDI alerts, indicating that stronger suggestions should be made for these alerts, while other alerts should be evaluated for potential suppression.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  electronic prescribing; health information technology; medication safety; patient safety; quality of care

Mesh:

Year:  2020        PMID: 32337561      PMCID: PMC7647273          DOI: 10.1093/jamia/ocaa034

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  33 in total

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2.  Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.

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Review 4.  Hospital admissions/visits associated with drug-drug interactions: a systematic review and meta-analysis.

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7.  Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record.

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Authors:  T Bakker; J E Klopotowska; S Eslami; D W de Lange; R van Marum; H van der Sijs; E de Jonge; D A Dongelmans; N F de Keizer; A Abu-Hanna
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Review 9.  The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis.

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10.  Variation in high-priority drug-drug interaction alerts across institutions and electronic health records.

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Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

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  12 in total

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

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4.  Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources.

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5.  Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study.

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6.  Designing and evaluating contextualized drug-drug interaction algorithms.

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7.  Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey.

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8.  Medication Errors and Patient Safety: Evaluation of Physicians' Responses to Medication-Related Alert Overrides in Clinical Decision Support Systems.

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9.  Human-centered design of clinical decision support for management of hypertension with chronic kidney disease.

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10.  Improving preprocedure antithrombotic management: Implementation and sustainment of a best practice alert and pharmacist referral process.

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