Department of Professional Nursing Practice, School of Nursing & Health Studies, Georgetown University, Washington, District of Columbia (Ms Sloss); and Department of Adult Health and Nursing Systems, School of Nursing, Virginia Commonwealth University, Richmond (Dr Jones).
J Nurs Care Qual. 2020 Jul/Sep;35(3):265-269. doi: 10.1097/NCQ.0000000000000446.
Existing literature explores the effectiveness of bar code-assisted medication administration (BCMA) on the reduction of medication administration error as well as on nurse workarounds during BCMA. However, there is no review that comprehensively explores types and frequencies of alerts generated by nurses during BCMA.
The purpose was to describe alert generation type and frequency during BCMA.
A systematic review of the literature using PRISMA guidelines was conducted using CINAHL, PubMed, EMBASE, and Ovid Medline databases.
After screening for inclusion and exclusion criteria, a total of 8 articles were identified and included in the review. Alert types included patient mismatch, wrong medication, and wrong dose, though other alert types were also reported. The frequency of alert generation varied across studies, from 0.18% to 42%, and not all alerts were clinically meaningful.
This systematic review synthesized literature related to alert type and frequency during BCMA. However, further studies are needed to better describe alert generation patterns as well as factors that influence alert generation.
现有文献探讨了条码辅助给药（BCMA）在减少给药错误以及在 BCMA 期间护士规避行为方面的有效性。然而，没有综述全面探讨护士在 BCMA 期间生成的警报类型和频率。
旨在描述 BCMA 期间的警报生成类型和频率。
使用 PRISMA 指南对 CINAHL、PubMed、EMBASE 和 Ovid Medline 数据库进行了系统的文献回顾。
经过纳入和排除标准的筛选，共确定了 8 篇文章进行综述。警报类型包括患者不匹配、用药错误和剂量错误，但也有其他警报类型的报道。警报生成的频率在不同的研究中有所不同，从 0.18%到 42%不等，并非所有警报都具有临床意义。
本系统综述综合了有关 BCMA 期间警报类型和频率的文献。然而，需要进一步的研究来更好地描述警报生成模式以及影响警报生成的因素。
