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

IF 1.8 Q3 PHARMACOLOGY & PHARMACY
Abdulrhman Alrowily , Khalid Alfaraidy , Saleh Almutairi , Abdullah Alamri , Wejdan Alrowily , Mohammed Abutaleb , Mohammad Zaitoun , Waddad Sarawi , Mashael Aljead
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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.
高风险用药错误:英国国家报告和学习系统的启示。
背景:在医疗保健系统中,确保患者安全至关重要。在英国,人们对医疗差错的担忧日益增加,这就需要更多地关注研究此类差错的性质,特别是那些涉及高风险药物的差错。目的:根据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)患者安全报告进行。NHS改进使用数据共享协议提供有关批准后事件的详细信息。总共分析了1500起事件,并将其平均分为三类高危药物:阿片类药物、胰岛素和抗凝血剂。使用Excel®功能和演绎推理(主题分析)进行数据分析。结果:与抗凝剂和阿片类药物相比,胰岛素类别的风险最高,错误也最多。这些错误主要是由于与给药、处方和配药有关的问题造成的。药物检查不足、工作人员和患者之间的沟通困难以及工作人员工作量大往往与这些错误有关。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有助于制定措施,减少医疗机构中高危药物相关错误的发生。信息技术应该通过跟踪用药过程来加强用药安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
0.00%
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审稿时长
103 days
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