The impact of barcode-assisted medication administration on medication administration errors in non-unit-dose settings: A systematic review

<i>Objective</i>: This study aims to investigate how barcode-assisted medication administration systems (BCMAs) can affect medication administration errors (MAEs) in non-unit-dose dispensing settings, since unit-dose dispensing practice can be a confounding variable affecting MAE rates. <i>Materials and Methods</i>: We conducted a systematic review of English articles on MEDLINE, EMBASE, EMCARE, CINAHL and Scopus, with the most recent search conducted on 1 February, 2024. Studies were meticulously examined to exclude those with unit-dose dispensing settings.We used ROBINS-I V2 for risk-of-bias assessment and narrative synthesis to summarise findings. <i>Results</i>: We included 4 papers in the review. The categories of MAEs reported among these studies are heterogeneous. Two studies give weak evidence, and 1 study gives moderate evidence that BCMA can lower some categories of MAEs. 1 study gives weak evidence that BCMA increases the wrong administration time error. <i>Discussion</i>: Studies provide weak to moderate evidence that barcode-assisted medication administration can lower certain categories of medication administration errors. However, some reported findings are minimal. <i>Conclusion</i>: More multi-ward, multi-hospital studies need to be conducted to provide stronger evidence on BCMA's impact on MAEs, especially on dosage-related MAEs, in settings without unit dose dispensing practices.

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Publication Details

Journal
Contemporary Nurse
Published
2025-11-27
DOI
https://doi.org/10.1080/10376178.2025.2588254
Primary Topic
Patient Safety and Medication Errors
Type
article
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article

The impact of barcode-assisted medication administration on medication administration errors in non-unit-dose settings: A systematic review

Erfan Shakibaei Bonakdeh, Weicong Tan, Erica Tong, Gordon Bingham et al.
Contemporary Nurse
Patient Safety and Medication Errors
article

The impact of barcode-assisted medication administration on medication administration errors in non-unit-dose settings: A systematic review

Erfan Shakibaei Bonakdeh, Weicong Tan, Erica Tong, Gordon Bingham, Weiqing Wang
article en

Abstract

<i>Objective</i>: This study aims to investigate how barcode-assisted medication administration systems (BCMAs) can affect medication administration errors (MAEs) in non-unit-dose dispensing settings, since unit-dose dispensing practice can be a confounding variable affecting MAE rates. <i>Materials and Methods</i>: We conducted a systematic review of English articles on MEDLINE, EMBASE, EMCARE, CINAHL and Scopus, with the most recent search conducted on 1 February, 2024. Studies were meticulously examined to exclude those with unit-dose dispensing settings.We used ROBINS-I V2 for risk-of-bias assessment and narrative synthesis to summarise findings. <i>Results</i>: We included 4 papers in the review. The categories of MAEs reported among these studies are heterogeneous. Two studies give weak evidence, and 1 study gives moderate evidence that BCMA can lower some categories of MAEs. 1 study gives weak evidence that BCMA increases the wrong administration time error. <i>Discussion</i>: Studies provide weak to moderate evidence that barcode-assisted medication administration can lower certain categories of medication administration errors. However, some reported findings are minimal. <i>Conclusion</i>: More multi-ward, multi-hospital studies need to be conducted to provide stronger evidence on BCMA's impact on MAEs, especially on dosage-related MAEs, in settings without unit dose dispensing practices.

Contemporary Nurse
Australian Regenerative Medicine Institute (AU), Alfred Health (AU), Monash University (AU)
Openalex Percentile: Top 46%
Patient Safety and Medication Errors
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The impact of barcode-assisted medication administration on medication administration errors in non-unit-dose settings: A systematic review — Erfan Shakibaei Bonakdeh, Weicong Tan, et al. · Contemporary Nurse (2025) | TGRS Research Map | TGRS