Impact of a new state law and electronic health record prompt on naloxone prescribing in an academic medical center.

  • Published In: American Journal of Health-System Pharmacy, 2024, v. 81. P. S189 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Dugovich, Anna; Robert, Sophie; Hatton, James; Jewett, Amanda 3 of 3

Abstract

Purpose To evaluate the impact of a best-practice advisory (BPA) and South Carolina legislation on naloxone prescribing patterns. The primary objective was to assess the change in naloxone prescription rates following BPA implementation. The secondary objective was to analyze the performance of the BPA. Methods Naloxone prescriptions generated before (July 28, 2020, through July 27, 2021) and after (July 28, 2021, through July 28, 2022) BPA implementation were analyzed via retrospective chart review. Lists of patients at risk for opioid overdose and patients for whom the BPA fired were generated for March 2022. The BPA's effectiveness was evaluated based on the proportion of at-risk patients missed by the alert, the frequency with which the BPA resulted in a naloxone prescription, and the reasons for not prescribing naloxone when the BPA fired. Results Following BPA implementation, there was a significant increase in the average monthly naloxone prescribing rate from 66.1 to 625.5 prescriptions per month. Overall, 2,086 patients were considered at risk for opioid overdose and 1,101 had a BPA alert during March 2022, with 32.7% of BPA alerts resulting in naloxone prescribing. The most common reasons selected for not prescribing naloxone were "patient refusal" and "criteria not met." Only 354 patients (17.1%) at risk for opioid overdose also had a BPA alert. Conclusion State legislation and implementation of the BPA significantly increased naloxone prescribing rates. However, a significant proportion of patients identified as being at risk did not have a BPA alert and most BPA alerts did not result in naloxone prescribing, suggesting a need for improvement of the BPA. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:American Journal of Health-System Pharmacy. 2024/12, Vol. 81, pS189
  • Document Type:Article
  • Subject Area:Information Technology
  • Publication Date:2024
  • ISSN:1079-2082
  • DOI:10.1093/ajhp/zxae199
  • Accession Number:181072108
  • Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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