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The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis
Introduction: Nurses are the final safety check in the process of medication administration process to prevent errors that adversely affect life; yet death of comprehensive evidences in Ethiopia. The present study aimed to assess the pooled magnitude of MAEs (Medication Administration Errors) in Eth...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146728/ https://www.ncbi.nlm.nih.gov/pubmed/32296652 http://dx.doi.org/10.34172/jcs.2020.001 |
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author | Bifftu, Berhanu Boru Mekonnen, Bezenaw Yimer |
author_facet | Bifftu, Berhanu Boru Mekonnen, Bezenaw Yimer |
author_sort | Bifftu, Berhanu Boru |
collection | PubMed |
description | Introduction: Nurses are the final safety check in the process of medication administration process to prevent errors that adversely affect life; yet death of comprehensive evidences in Ethiopia. The present study aimed to assess the pooled magnitude of MAEs (Medication Administration Errors) in Ethiopia. Methods: Systematic literature search in the databases of Pub-Med, Cochrane, and Google Scholar for gray literature were performed until December 3, 2018. The quality of study was assessed using criteria adopted from similar studies. Heterogeneity test and evidence of publication bias were assessed. Moreover, sensitivity analysis was also performed. Pooled prevalence of MAE was calculated using the random effects model. Results: A total of 2142 medication administrations were from observational and 681from self-reported studies were included in this systematic review and meta-analysis. The most prevalent and frequently reported type of MAEs was documentation error (52% to 87.5%) and time error (25.5% to 58.5%) respectively. Overall, the pooled magnitude of MAE was found to be 39.3% (95% CI, 29.1%-49.5%).It has no evidence of significant heterogeneity (I(2) = 0%, P = 0.57) and publication bias Egger’s test (P = 0.40). Conclusion: Overall, more than one in four observed/perceived medication administrations had errors. Documentation error is the most prevalent type of error. Nurses are suggested to strengthen their focus on the rights of medication administration guide particularly, documentation of their activities need special attention. |
format | Online Article Text |
id | pubmed-7146728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-71467282020-04-15 The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis Bifftu, Berhanu Boru Mekonnen, Bezenaw Yimer J Caring Sci Review Article Introduction: Nurses are the final safety check in the process of medication administration process to prevent errors that adversely affect life; yet death of comprehensive evidences in Ethiopia. The present study aimed to assess the pooled magnitude of MAEs (Medication Administration Errors) in Ethiopia. Methods: Systematic literature search in the databases of Pub-Med, Cochrane, and Google Scholar for gray literature were performed until December 3, 2018. The quality of study was assessed using criteria adopted from similar studies. Heterogeneity test and evidence of publication bias were assessed. Moreover, sensitivity analysis was also performed. Pooled prevalence of MAE was calculated using the random effects model. Results: A total of 2142 medication administrations were from observational and 681from self-reported studies were included in this systematic review and meta-analysis. The most prevalent and frequently reported type of MAEs was documentation error (52% to 87.5%) and time error (25.5% to 58.5%) respectively. Overall, the pooled magnitude of MAE was found to be 39.3% (95% CI, 29.1%-49.5%).It has no evidence of significant heterogeneity (I(2) = 0%, P = 0.57) and publication bias Egger’s test (P = 0.40). Conclusion: Overall, more than one in four observed/perceived medication administrations had errors. Documentation error is the most prevalent type of error. Nurses are suggested to strengthen their focus on the rights of medication administration guide particularly, documentation of their activities need special attention. Tabriz University of Medical Sciences 2020-03-01 /pmc/articles/PMC7146728/ /pubmed/32296652 http://dx.doi.org/10.34172/jcs.2020.001 Text en © 2020 The Author(s). http://creativecommons.org/licenses/by-nc/4.0/ This work is published by Journal of Caring Sciences as an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited. |
spellingShingle | Review Article Bifftu, Berhanu Boru Mekonnen, Bezenaw Yimer The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title | The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title_full | The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title_fullStr | The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title_full_unstemmed | The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title_short | The Magnitude of Medication Administration Errors among Nurses in Ethiopia: a Systematic Review and Meta-analysis |
title_sort | magnitude of medication administration errors among nurses in ethiopia: a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146728/ https://www.ncbi.nlm.nih.gov/pubmed/32296652 http://dx.doi.org/10.34172/jcs.2020.001 |
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