JOURNAL ARTICLE
Pharmacy residency training program increases residents' confidence in inpatient medical emergency response.
Published In: American Journal of Health-System Pharmacy, 2024, v. 81, n. 13. P. e372 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Shigle, Amanda Jo; Piechowski, Kara; Sandoval, Nicholas; Chiplinski, Amber; Hays, William Blake 3 of 3
Abstract
This article focuses on the design and evaluation of a pharmacy resident medical emergency response training (PR-MERT) program developed at West Virginia University Medicine to prepare postgraduate year 1 (PGY1) pharmacy residents for hospital medical emergencies, including cardiac arrest and rapid sequence intubation (RSI). The year-long program combined orientation, didactic lectures, simulation scenarios, mock emergencies, case conferences, and hands-on response to real emergencies, with ongoing coaching by experienced clinical pharmacy preceptors ("code coaches"). Survey results from 23 residents showed significant improvements in self-reported confidence regarding medication selection, dosing, anticipating team needs, and speaking up during emergencies, alongside high satisfaction with the program structure and mentorship. While the program enhanced residents’ confidence and met American Society of Health-System Pharmacists (ASHP) residency objectives, the study notes limitations including reliance on self-assessment and potential variability in feedback, suggesting further research is needed to assess impact on actual performance. The authors propose that similar longitudinal emergency response training could benefit other inpatient pharmacy residency programs.
Additional Information
- Source:American Journal of Health-System Pharmacy. 2024/07, Vol. 81, Issue 13, pe372
- Document Type:Article
- Subject Area:Education
- Publication Date:2024
- ISSN:1079-2082
- DOI:10.1093/ajhp/zxae021
- Accession Number:178237777
- 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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