Literature DB >> 22130354

Bar code technology and medication administration error.

Judith Young1, Maribeth Slebodnik, Laura Sands.   

Abstract

Medication administration error (MAE) remains a patient safety concern. Few studies have investigated the impact of bar-coded technology on medication error reduction during the medication administration process at the bedside in acute care settings. The purpose and focus of this systematic review is to determine whether implementation of the Bar Code Medication Administration System (BCMA) is associated with declines in MAE rate. Findings from this systematic review reveal varied findings between studies and among the 5 rights of medication administration (right drug, right time, right patient, right dose, and right route) in general. Although BCMA did not consistently decrease the overall incidence of MAE, the technology did identify categories of medication errors not previously detected with the traditional 5 rights approach. The opportunity to analyze the additional categories of MAE identified by BCMA has implications for patient safety and is perhaps the most significant contribution of this review.

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Year:  2010        PMID: 22130354     DOI: 10.1097/PTS.0b013e3181de35f7

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


  12 in total

1.  Pharmacy Practices and Technologies: Evidence for Effectiveness and Adoption into Canadian Hospital Pharmacy Practice.

Authors:  Aurélie Guérin; Kevin Hall; Jean-François Bussières
Journal:  Can J Hosp Pharm       Date:  2015 Nov-Dec

Review 2.  Bar Code Medication Administration Technology: A Systematic Review of Impact on Patient Safety When Used with Computerized Prescriber Order Entry and Automated Dispensing Devices.

Authors:  Kieran Shah; Clifford Lo; Michele Babich; Nicole W Tsao; Nick J Bansback
Journal:  Can J Hosp Pharm       Date:  2016-10-31

Review 3.  New technologies as a strategy to decrease medication errors: how do they affect adults and children differently?

Authors:  Margarita Ruano; Elena Villamañán; Ester Pérez; Alicia Herrero; Rodolfo Álvarez-Sala
Journal:  World J Pediatr       Date:  2015-12-18       Impact factor: 2.764

4.  Facilitators and Barriers to Safe Medication Administration to Hospital Inpatients: A Mixed Methods Study of Nurses' Medication Administration Processes and Systems (the MAPS Study).

Authors:  Monsey McLeod; Nicholas Barber; Bryony Dean Franklin
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

5.  Association Between Workarounds and Medication Administration Errors in Bar Code-Assisted Medication Administration: Protocol of a Multicenter Study.

Authors:  Willem van der Veen; Patricia Mla van den Bemt; Maarten Bijlsma; Han J de Gier; Katja Taxis
Journal:  JMIR Res Protoc       Date:  2017-04-28

6.  Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.

Authors:  Yizhao Ni; Todd Lingren; Eric S Hall; Matthew Leonard; Kristin Melton; Eric S Kirkendall
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

7.  Expectations, training and evaluation of intensive care staff to an interprofessional simulation course in Germany - Development of a relevant training concept.

Authors:  Markus Flentje; Lars Friedrich; Hendrik Eismann; Wolfgang Koppert; Heiner Ruschulte
Journal:  GMS J Med Educ       Date:  2020-02-17

Review 8.  Causes of medication administration errors in hospitals: a systematic review of quantitative and qualitative evidence.

Authors:  Richard N Keers; Steven D Williams; Jonathan Cooke; Darren M Ashcroft
Journal:  Drug Saf       Date:  2013-11       Impact factor: 5.606

Review 9.  Review of 128 quality of care mechanisms: A framework and mapping for health system stewards.

Authors:  Juan E Tello; Erica Barbazza; Kerry Waddell
Journal:  Health Policy       Date:  2019-11-23       Impact factor: 2.980

10.  Barcode medication administration technology use in hospital practice: a mixed-methods observational study of policy deviations.

Authors:  Alma Mulac; Liv Mathiesen; Katja Taxis; Anne Gerd Granås
Journal:  BMJ Qual Saf       Date:  2021-07-20       Impact factor: 7.035

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