Suppr超能文献

评估医院内转运期间的患者身份识别措施:一种人为因素方法。

Evaluating Patient Identification Practices During Intrahospital Transfers: A Human Factors Approach.

作者信息

Suclupe Stefanie, Kitchin Joanne, Sivalingam Rajhkumar, McCulloch Peter

机构信息

From the Nuffield Department of Surgical Sciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.

出版信息

J Patient Saf. 2023 Mar 1;19(2):117-127. doi: 10.1097/PTS.0000000000001074. Epub 2022 Sep 28.

Abstract

INTRODUCTION

Reliable patient identification is essential for safe care, and failures may cause patient harm. Identification can be interfered with by system factors, including working conditions, technology, organizational barriers, and inadequate communications protocols. The study aims to explore systems factors contributing to patient identification errors during intrahospital transfers.

METHODS

We conducted a qualitative study through direct observation and interviews with porters during intrahospital patient transfers. Data were analyzed using the Systems Engineering Initiative for Patient Safety human factors model. The patient transfer process was mapped and compared with the institutional Positive Patient Identification policy. Potential system failures were identified using a Failure Modes and Effects Analysis.

RESULTS

A total of 60 patient transfer handovers were observed. In none of the evaluable cases observed, patient identification was conducted correctly according to the hospital policy at every step of the process. The principal system factor responsible was organizational failure, followed by technology and team culture issues. The Failure Modes and Effects Analysis methodology revealed that miscommunication between staff and lack of key patient information put patient safety at risk.

CONCLUSIONS

Patient identification during intrahospital patient transfer is a high-risk event because several factors and many people interact. In this study, the disconnect between the policy and the reality of the workplace left staff and patients vulnerable to the consequences of misidentification. Where a policy is known to be substantially different from work as done, urgent revision is required to eliminate the serious risks associated with the unguided evolution of working practice.

摘要

引言

可靠的患者识别对于安全护理至关重要,识别失误可能会对患者造成伤害。识别可能会受到系统因素的干扰,包括工作条件、技术、组织障碍以及沟通协议不完善等。本研究旨在探讨导致医院内转运期间患者识别错误的系统因素。

方法

我们通过在医院内患者转运期间对搬运工进行直接观察和访谈开展了一项定性研究。使用患者安全人为因素模型的系统工程倡议对数据进行分析。绘制了患者转运流程并与机构的患者正向识别政策进行比较。使用失效模式与效应分析识别潜在的系统故障。

结果

共观察了60次患者转运交接。在观察到的所有可评估案例中,在流程的每个步骤均未按照医院政策正确进行患者识别。主要的系统因素是组织失误,其次是技术和团队文化问题。失效模式与效应分析方法表明,工作人员之间的沟通不畅以及关键患者信息的缺失使患者安全面临风险。

结论

医院内患者转运期间的患者识别是一项高风险事件,因为有多个因素和众多人员相互作用。在本研究中,政策与工作实际情况之间的脱节使工作人员和患者容易受到识别错误后果的影响。当已知政策与实际工作存在重大差异时,需要紧急修订以消除与工作实践无指导演变相关的严重风险。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验