Literature DB >> 29994819

How to Identify Organizational High-Alert Medications.

Lotta Schepel, Lasse Lehtonen1, Marja Airaksinen, Outi Lapatto-Reiniluoto1.   

Abstract

OBJECTIVES: High-alert medications may cause significant patient harm when used in error. Hospital-specific safety data should be used to customize high-alert medication lists to fit the local context. The aim of this study was to identify organizational high-alert medications by evaluating university hospital's data on adverse drug reaction (ADR) and medication error (ME).
METHODS: The Anatomical Therapeutic Chemical (ATC) codes and top active substances in ADR (n = 401) and ME (n = 11,668) reports of Helsinki University Hospital from 2015-2016 were analyzed and compared with hospitals' drug consumption and the Institute for Safe Medication Practices' (ISMP) list of high-alert medications.
RESULTS: The top ATC groups and active substances in ADR and ME reports were not similar. The most numerous ATC groups were L, antineoplastic and immunomodulating agents (30%) in ADRs and N, nervous system (26%) in MEs. According to ADR and ME reports, several high-alert medications from Institute for Safe Medication Practices' lists, such as antineoplastic agents, antithrombotics, opioids, and insulins, should be considered high-alert medications also in Helsinki University Hospital. Although no ADR reports of amphotericin B existed, it had the highest number of MEs causing severe/moderate harm or unexpected reactions relative to its consumption.
CONCLUSIONS: To identify organizational high-alert medications, both drug safety information and medication safety information should be used. Adverse drug reaction and ME data are needed to recognize high-alert medications, but these should also be combined with a literature search and local expert opinions.
Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 29994819     DOI: 10.1097/PTS.0000000000000512

Source DB:  PubMed          Journal:  J Patient Saf        ISSN: 1549-8417            Impact factor:   2.844


  2 in total

1.  Implementing a New Electronic Health Record System in a University Hospital: The Effect on Reported Medication Errors.

Authors:  Carita Lindén-Lahti; Sanna-Maria Kivivuori; Lasse Lehtonen; Lotta Schepel
Journal:  Healthcare (Basel)       Date:  2022-05-31

2.  Identification and safe storage of look-alike, sound-alike medicines in automated dispensing cabinets.

Authors:  Henna Karoliina Ruutiainen; Miia Marjukka Kallio; Sini Karoliina Kuitunen
Journal:  Eur J Hosp Pharm       Date:  2021-01-15
  2 in total

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