Literature DB >> 28574956

Identifying High-alert Medications in a University Hospital by Applying Data From the Medication Error Reporting System.

Lotta Tyynismaa1, Anni Honkala, Marja Airaksinen, Kenneth Shermock, Lasse Lehtonen.   

Abstract

OBJECTIVES: To facilitate safe use of high-alert medications, lists of medications posing higher risks for medication errors (MEs) and harmful effects have been compiled. These lists can be general or reflect clinical practices in specific settings. Less common has been to compile a hospital-specific list applying data from the organization's ME reporting system. Our objective was to demonstrate a method for compiling such a high-alert medication list in a university hospital.
METHODS: Of the eighteen 136 MEs reported during 2007 to 2013, ME reports with medications coded as a contributing factor to the incident were included (n = 249). The involved medications were identified and compared with the hospital's drug consumption and Institute for Safe Medication Practice's List of High-Alert Medications. The report narratives of MEs with most reported and high-alert medications (120 reports) were qualitatively content analyzed.
RESULTS: The included 249 reports concerned 280 medications, of which 33% were classified as high-alert medications by the Institute for Safe Medication Practice. The most common therapeutic groups were antibacterials for systemic use (13%), psycholeptics (10%), analgesics (9%), and antithrombotic agents (9%). The most common high-alert medications were oxycodone (5%), enoxaparin (3%), and noradrenaline (3%). Serious patient harm (3%) was related to cefuroxime, enoxaparin, ibuprofen, midazolam, propofol, and warfarin. A half of the MEs were related to parenteral preparations. The qualitative content analysis revealed the key process safety risks of the most reported and high-alert medications.
CONCLUSIONS: The method is applicable for compiling a hospital-specific high-alert medication list and related analysis of key process safety risks contributing to MEs.

Entities:  

Year:  2017        PMID: 28574956     DOI: 10.1097/PTS.0000000000000388

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


  5 in total

1.  A Comparative Safety Analysis of Medicines Based on the UK Pharmacovigilance and General Practice Prescribing Data in England.

Authors:  Kinan Mokbel; Rob Daniels; Michael N Weedon; Leigh Jackson
Journal:  In Vivo       Date:  2022 Mar-Apr       Impact factor: 2.155

2.  Intravenous Drug Incompatibilities in the Intensive Care Unit of a Tertiary Care Hospital in India: Are they Preventable?

Authors:  Shanmugam Sriram; S Aishwarya; Akhila Moithu; Akshaya Sebastian; Ajith Kumar
Journal:  J Res Pharm Pract       Date:  2020-06-26

3.  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

4.  Systemic Causes of In-Hospital Intravenous Medication Errors: A Systematic Review.

Authors:  Sini Kuitunen; Ilona Niittynen; Marja Airaksinen; Anna-Riia Holmström
Journal:  J Patient Saf       Date:  2021-12-01       Impact factor: 2.243

5.  Reminding staff of diligence during the medication process is not enough to ensure safety: Learning from wrong fluid product selection incidents in the care of critically ill patients.

Authors:  Minna Kurttila; Susanna Saano; Raisa Laaksonen
Journal:  Explor Res Clin Soc Pharm       Date:  2022-09-20
  5 in total

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