A comparison of the methods used to support risk identification for patient safety in one UK NHS foundation trust

M. Simsekler, Alan J. Card, K. Ruggeri, James R. Ward, P. Clarkson
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引用次数: 20

Abstract

In healthcare, various methods are available to support risk identification in risk management process. However, there is no clear evidence on their contribution to risk identification. In this study, different methods used to support risk identification were therefore analysed to compare their contribution to overall risk identification. The study was conducted at Cambridge University Hospitals Foundation Trust, UK. Three main methods were selected to compare their support in risk identification: incident reports through their Risk Management Information System, risk registers through their Risk Registers system, and safety walkabouts through their internal patient safety assessment process. Where possible, simple comparison tests were run between the different methods of identifying risks as well as by the type of risks identified. It was found that each method has contributed to the risk identification by adding different sets of risk sources despite some overlaps. However, they produced discrete assessments from different aspects and none of them, on its own, could produce adequate results for effective risk identification. In any healthcare setting, having a system to put all risk information in one picture would help maximise the contribution of each method within the scope risk management process. Future studies may benefit from broader use of multiple and system-based risk identification approaches, and coding methods for more powerful analytical test.
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用于支持患者安全风险识别在一个英国NHS基金会信托方法的比较
在医疗保健领域,有多种方法可用于支持风险管理过程中的风险识别。然而,没有明确的证据表明它们对风险识别的贡献。因此,在本研究中,分析了用于支持风险识别的不同方法,以比较它们对总体风险识别的贡献。这项研究是由英国剑桥大学医院基金会进行的。选择了三种主要方法来比较它们在风险识别方面的支持程度:通过风险管理信息系统报告事件,通过风险登记系统进行风险登记,以及通过内部患者安全评估过程进行安全疏散。在可能的情况下,对确定风险的不同方法以及确定的风险类型进行了简单的比较测试。研究发现,尽管存在一些重叠,但每种方法都通过添加不同的风险源集来促进风险识别。但是,它们从不同的方面进行了离散的评估,其中任何一种评估本身都不能为有效的风险识别产生充分的结果。在任何医疗保健环境中,拥有一个将所有风险信息放在一张图片中的系统,将有助于在范围风险管理过程中最大限度地发挥每种方法的作用。未来的研究可能受益于更广泛地使用多重和基于系统的风险识别方法,以及更强大的分析测试的编码方法。
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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