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使用错误分类学,根本原因分析和实践责任研究工具对护理错误的概述

Despoina Pappa¹, Panagiota Manthou², Eftychia Ferentinou²

¹Department of Nursing, Henry Dunant Hospital Center, Athens, GRC.

|August 22, 2024

概括

错误分类,根本原因分析和实践责任 (TERCAP) 工具为分析护理错误提供了一个结构化的方法,以提高患者安全. 需要进一步的研究来确认其有效性并优化其临床整合.

科学领域:

护理护理护理
患者安全患者安全
改善医疗保健质量改善医疗保健质量

背景情况:

护理错误是患者安全和护理质量的一个重大问题.
在护理实践中,识别和分析错误的有效方法至关重要.
错误分类,根本原因分析和实践责任 (TERCAP) 工具旨在系统地对护理错误进行分类和分析.

研究的目的:

使用TERCAP仪器系统地审查护理错误.
评估TERCAP工具的适用性,优势和需要改进的领域.
评估TERCAP工具在医疗保健环境中的当前使用和潜在影响.

主要方法:

在主要数据库 (PubMed,CINAHL,Scopus) 进行了全面的文献搜索.
收录标准集中在使用TERCAP工具的同行评审文章,定量/定性数据和英语出版物.
数据提取和分析的重点是工具的有效性,可靠性,对患者结果的影响以及临床整合.

主要成果:

目前,有限数量的研究使用TERCAP仪器,这表明其正在芽的实施.
TERCAP工具为错误分类和根本原因分析提供了一个结构化的框架,有可能提高患者的安全性.
确定的挑战包括工具应用不一致,与电子健康记录的整合困难,以及需要进一步验证.

结论:

TERCAP工具显示了改善护理错误报告和分析的潜力.
护士的感知和培训需求是影响该工具有效性的关键因素.
进一步的研究对于验证TERCAP工具,优化其整合以及了解其对患者安全和安全文化的长期影响至关重要.

关键词:

护理中的错误患者安全患者安全质量质量质量质量质量质量.分类学分类学.三分之一的资本.

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