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Meta-Analysis
. 2015 Dec 9;6(4):716-27.
doi: 10.4338/ACI-2015-06-R-0077. eCollection 2015.

The Efficacy of Patients' Wristband Bar-code on Prevention of Medical Errors: A Meta-analysis Study

M Khammarnia  1 , A Kassani  2 , M Eslahi  3
Affiliations
Meta-Analysis

The Efficacy of Patients' Wristband Bar-code on Prevention of Medical Errors: A Meta-analysis Study

M Khammarnia et al. Appl Clin Inform. .

Abstract

Background: Patient misidentification, as a major patient safety issue, occurs in any healthcare setting and leads to inappropriate medical procedures, diagnosis or treatment, with serious outcomes.

Objectives: The study aimed to investigate the effectiveness of wristband bar-code medication scanning to reduce medical errors (ME).

Methods: A meta-analysis study was conducted. The relevant studies were searched in PubMed, Embase, Cochrane Library, Web of Science and Scopus from 1990 to March 2015. Thereafter, the studies retrieved were screened based on predefined inclusion and exclusion criteria. Data were extracted, and the quality of the included studies was evaluated using the STROBE checklist.

Results: In total, 14 articles involving 483 cases were included. The meta-analysis indicated that the use of wristband bar-code medication scanning can reduce the ME around 57.5% (OR=0.425, 95% CI: 0.28-0.65, P<0.001). The study results showed a marked heterogeneity in the subgroup analysis (I-squared=98%). This was I(2)=70.35, P-value=0.018 for the type of samples and I(2)=99%, P-value<0.001 for years and countries.

Conclusion: Wristband bar-code medication scanning can decrease the ME in hospital setting. Since the patient's safety is the main goal of the World Health Organization, it is recommended that a unique patient identification barcode should be used with name, medical record number, and bar-coded financial number.

Keywords: Patient wristband; electronic barcode; medical error.

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Conflict of interest statement

Conflict of Interest

The researchers declared no conflicts of interest in relation to this article.

Figures

Fig. 1
Fig. 1
Flow diagram of the studies reviewed for this meta-analysis.
Fig. 2
Fig. 2
The forest plots for association between patient wristband and ME with using random effects model.
Fig. 3
Fig. 3
Subgroup analysis of the association between patient wristband and ME based on the type of samples.
Fig. 4
Fig. 4
Subgroup analysis of association between patient wristband and ME based on the countries.
Fig. 5
Fig. 5
Subgroup analysis of the association between patient wristband and ME based on years of studies conduction.
See this image and copyright information in PMC

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