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高风险用药错误:来自英国国家报告与学习系统的见解。

High-risk medication errors: Insight from the UK National Reporting and learning system.

作者信息

Alrowily Abdulrhman, Alfaraidy Khalid, Almutairi Saleh, Alamri Abdullah, Alrowily Wejdan, Abutaleb Mohammed, Zaitoun Mohammad, Sarawi Waddad, Aljead Mashael

机构信息

King Fahad Military Medical Complex, Dhahran 31932, Saudi Arabia.

King Fahd Central Hospital, Jazan 82666, Saudi Arabia.

出版信息

Explor Res Clin Soc Pharm. 2024 Nov 4;17:100531. doi: 10.1016/j.rcsop.2024.100531. eCollection 2025 Mar.

Abstract

BACKGROUND

Ensuring patient safety is of paramount importance in healthcare systems. Rising concerns about medical errors in the UK have necessitated a greater focus on studying the nature of such errors, particularly those involving high-risk medications.

OBJECTIVES

To conduct a retrospective analysis of incidents related to patient safety in the UK based on data from the National Rporting and Learning System (NRLS).

METHODS

This study was conducted based on a review of the National Reporting and Learning System NRLS) patient safety reports published between January 1, 2015, and December 31, 2015. NHS Improvement provides details regarding incidents following approval using a data-sharing agreement. In total, 1500 incidents were analszed and equally divided among the three categories of high-risk drugs: opioids, insulin, and anticoagulants. Excel® features and deductive reasoning (thematic analysis) were used for data analysis.

RESULTS

The results showed that the insulin category had both the highest risk and most errors compared with anticoagulants and opioids. These errors primarily result from issues related to administering, prescribing, and dispensing the drugs. Inadequate drug checks, communication difficulties among staff and patients, and high staff workloads are often linked to these errors.

CONCLUSION

This study confirms that the NRLS database is a valuable source of data, and the suggestions put forth, based on these results, could contribute to the formulation of measures that diminish the occurrence of errors related to high-risk drugs in healthcare settings. Information technology should enhance medication safety by tracking the process of medication use.

摘要

背景

在医疗系统中,确保患者安全至关重要。英国对医疗差错的担忧日益增加,这使得更有必要关注此类差错的本质,尤其是那些涉及高风险药物的差错。

目的

基于国家报告和学习系统(NRLS)的数据,对英国与患者安全相关的事件进行回顾性分析。

方法

本研究基于对2015年1月1日至2015年12月31日期间发布的国家报告和学习系统(NRLS)患者安全报告的审查进行。国民保健服务改进局(NHS Improvement)根据数据共享协议,在事件获批后提供相关详细信息。总共分析了1500起事件,并将其平均分为三类高风险药物:阿片类药物、胰岛素和抗凝剂。使用Excel®功能和演绎推理(主题分析)进行数据分析。

结果

结果显示,与抗凝剂和阿片类药物相比,胰岛素类药物的风险最高且差错最多。这些差错主要源于与药物给药、处方和配药相关的问题。药物检查不足、医护人员与患者之间沟通困难以及医护人员工作量大,常常与这些差错有关。

结论

本研究证实,NRLS数据库是一个有价值的数据来源,基于这些结果提出的建议,可能有助于制定措施,减少医疗环境中与高风险药物相关的差错发生。信息技术应通过跟踪用药过程来提高用药安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07c6/11683304/b3b56ce08a22/gr1.jpg

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