Literature DB >> 18714114

Severity of medication administration errors detected by a bar-code medication administration system.

Julie Sakowski1, Jeffrey M Newman, Krystin Dozier.   

Abstract

PURPOSE: The severity of medication administration errors detected by a bar-code medication administration (BCMA) system was studied.
METHODS: A panel of six health care providers reviewed medication administration error scenarios created from BCMA error logs at six community hospitals. Each scenario was rated on the potential to cause patient harm, taking into account the severity of the potential outcome and the probability that the patient would be harmed. A severity score for each error was determined by averaging the individual reviewers' scores.
RESULTS: The majority of the medication administration errors identified by the BCMA system were judged to be benign; 1% of the errors reviewed were rated as having the potential to result in a severe or life-threatening adverse event, 8% were judged to have the potential to produce moderate adverse effects, and 91% were expected to produce minimal, if any, clinical effects. Medication errors due to a dose being administered when there was no corresponding order in the computer system were significantly more likely to produce moderate or severe outcomes than other types of medication errors. Errors that involved medications designated as high-alert drugs were also more likely to produce moderate or severe adverse events than non-high-alert drugs.
CONCLUSION: The majority of medication administration errors detected by a BCMA system were judged to be benign and pose minimal safety risks; however, the numbers and severity of medication administration errors that occur despite the use of a BCMA system suggest that there are opportunities to improve these systems and how the information they generate is used.

Entities:  

Mesh:

Year:  2008        PMID: 18714114     DOI: 10.2146/ajhp070634

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  7 in total

1.  Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital.

Authors:  Richard J Holden; Roger L Brown; Matthew C Scanlon; Ben-Tzion Karsh
Journal:  J Am Med Inform Assoc       Date:  2012-06-03       Impact factor: 4.497

2.  A network collaboration implementing technology to improve medication dispensing and administration in critical access hospitals.

Authors:  Douglas S Wakefield; Marcia M Ward; Jean L Loes; John O'Brien
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Prevalence of medication administration errors in two medical units with automated prescription and dispensing.

Authors:  Carmen Guadalupe Rodriguez-Gonzalez; Ana Herranz-Alonso; Maria Luisa Martin-Barbero; Esther Duran-Garcia; Maria Isabel Durango-Limarquez; Paloma Hernández-Sampelayo; Maria Sanjurjo-Saez
Journal:  J Am Med Inform Assoc       Date:  2011-09-02       Impact factor: 4.497

4.  Analysis of high alert medication knowledge of medical staff in Tianjin: A convenient sampling survey in China.

Authors:  Shang-Feng Tang; Xin Wang; Ye Zhang; Jie Hou; Lu Ji; Man-Li Wang; Rui Huang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-04-16

5.  Your High-Alert Medication List Is Relatively Useless Without Associated Risk-Reduction Strategies.

Authors:  Matthew Grissinger
Journal:  P T       Date:  2016-10

6.  The pattern of the discovery of medication errors in a tertiary hospital in Hong Kong.

Authors:  N R Samaranayake; S T D Cheung; W C M Chui; B M Y Cheung
Journal:  Int J Clin Pharm       Date:  2013-02-20

7.  Effectiveness of bar coded medication alerts for elevated potassium.

Authors:  Ryan P Radecki; Allison B McCoy; Anwar M Sirajuddin; Robert E Murphy; Dean F Sittig
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03
  7 in total

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