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Improving Naloxone Co-prescribing Through Clinical Decision Support
Journal article   Open access   Peer reviewed

Improving Naloxone Co-prescribing Through Clinical Decision Support

Elizabeth Cramer, Ethan Kuperman, Nathan Meyer and James Blum
Curēus (Palo Alto, CA), Vol.16(7), e63919
07/05/2024
DOI: 10.7759/cureus.63919
PMCID: PMC11298243
PMID: 39099893
url
https://doi.org/10.7759/cureus.63919View
Published (Version of record) Open Access

Abstract

Background: Despite national guidelines recommending naloxone co-prescription with high-risk medications, rates remain low nationally. This was reflected at our institution with remarkably low naloxone prescribing rates. We sought to determine if a clinical decision support (CDS) tool could increase rates of naloxone co-prescribing with high-risk prescriptions. Methods: An alert in the electronic health record was triggered upon signing an order for a high-risk opioid medication without a naloxone co-prescription. We examined all opioid prescriptions written by family and general internal medicine practitioners at the University of Iowa Hospitals and Clinics in outpatient encounters between November 30, 2020, and February 28, 2022. Once triggered by a high-risk prescription, the CDS tool had the option to choose an order set with an automatically selected co-prescription for naloxone along with patient instructions automatically added to the patient's after-visit summary (AVS). We examined the monthly percentage of patients receiving Schedule II opioid prescriptions ≥90 morphine milliequivalents (MME)/day who received concurrent naloxone prescriptions in the 12 months before the CDS went live and the three months following go-live. Results: Concurrent naloxone prescriptions increased from 1.1% in the 12 months prior to implementation in November 2021 to 9.4% (p<0.001) during the post-intervention period across eight family medicine and internal medicine clinics. Discussion: This single-center quality improvement project with retrospective analysis demonstrates the potential efficacy of a single CDS tool in increasing the rate of naloxone prescription. The impact of such prescribing on overall mortality requires further research. Conclusions: The CDS tool was easy to implement and improved rates of appropriate naloxone co-prescribing.
applications of health informatics informatics opiod overdose overdose prevention overdose opiods naloxone prescription opioid overdose deaths clinical decision tool clinical decision support system

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