Bifftu Berhanu Boru, Mekonnen Bezenaw Yimer
Department of Community Health Nursing, School of Nursing, University of Gondar College of Medicine and Health Science, Gondar, Ethiopia.
J Caring Sci. 2020 Mar 1;9(1):1-8. doi: 10.34172/jcs.2020.001. eCollection 2020 Mar.
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. 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. 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 = 0%, P = 0.57) and publication bias Egger's test (P = 0.40). 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.
护士是药物给药过程中的最后一道安全检查防线，以防止出现对生命产生不利影响的差错；然而在埃塞俄比亚，关于这方面的综合证据却很匮乏。本研究旨在评估埃塞俄比亚药物给药差错（MAEs）的合并发生率。在PubMed、Cochrane数据库以及Google Scholar中对灰色文献进行了系统的文献检索，直至2018年12月3日。采用类似研究中采用的标准对研究质量进行评估。评估了异质性检验和发表偏倚证据。此外，还进行了敏感性分析。使用随机效应模型计算MAE的合并患病率。本系统评价和荟萃分析共纳入了2142项来自观察性研究的药物给药案例以及681项来自自我报告研究的案例。最常见且报告频率最高的MAEs类型分别是记录错误（52%至87.5%）和时间错误（25.5%至58.5%）。总体而言，发现MAE的合并发生率为39.3%（95%置信区间，29.1%-49.5%）。没有证据表明存在显著异质性（I² = 0%，P = 0.57）以及发表偏倚（Egger检验，P = 0.40）。总体而言，超过四分之一观察到的/察觉到的药物给药存在差错。记录错误是最常见的差错类型。建议护士尤其要加强对药物给药指南中各项权利的关注，特别是他们活动的记录需要特别注意。
