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BMJ Simul Technol Enhanc Learn. 2018 Mar 16;5(2):78-84. doi: 10.1136/bmjstel-2017-000300. eCollection 2019.
2
Considerations for psychological safety with system-focused debriefings.以系统为重点的汇报中对心理安全的考量。
BMJ Simul Technol Enhanc Learn. 2020 Jan 15;6(3):132-134. doi: 10.1136/bmjstel-2019-000579. eCollection 2020.
3
The use of in situ simulation to detect latent safety threats in paediatrics: a cross-sectional survey.使用情景模拟检测儿科潜在安全威胁:一项横断面调查。
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4
SEIPS 3.0: Human-centered design of the patient journey for patient safety.SEIPS 3.0:以患者安全为中心的患者就医流程的人因工程设计。
Appl Ergon. 2020 Apr;84:103033. doi: 10.1016/j.apergo.2019.103033. Epub 2020 Jan 10.
5
PEARLS for Systems Integration: A Modified PEARLS Framework for Debriefing Systems-Focused Simulations.系统集成的要点:用于系统为中心模拟的改进要点框架。
Simul Healthc. 2019 Oct;14(5):333-342. doi: 10.1097/SIH.0000000000000381.
6
Translational simulation: not 'where?' but 'why?' A functional view of in situ simulation.转化模拟:不是“何处?”而是“为何?”——对现场模拟的功能性观点。
Adv Simul (Lond). 2017 Oct 19;2:20. doi: 10.1186/s41077-017-0052-3. eCollection 2017.
7
Study protocol for a framework analysis using video review to identify latent safety threats: trauma resuscitation using in situ simulation team training (TRUST).使用视频回顾进行框架分析以识别潜在安全威胁的研究方案:通过现场模拟团队培训进行创伤复苏(TRUST)
BMJ Open. 2016 Nov 7;6(11):e013683. doi: 10.1136/bmjopen-2016-013683.
8
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9
Inter-professional in-situ simulated team and resuscitation training for patient safety: Description and impact of a programmatic approach.跨专业现场模拟团队与复苏培训以保障患者安全:一种程序化方法的描述与影响
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原位模拟汇报期间潜在安全威胁识别:一项定性分析

Latent safety threat identification during in situ simulation debriefing: a qualitative analysis.

作者信息

Shah Sparsh, McGowan Melissa, Petrosoniak Andrew

机构信息

Department of Medicine, University of Toronto Faculty of Medicine, Toronto, Canada.

Department of Emergency Medicine, St. Michael's Hospital, Toronto, Canada.

出版信息

BMJ Simul Technol Enhanc Learn. 2020 Aug 6;7(4):194-198. doi: 10.1136/bmjstel-2020-000650. eCollection 2021.

DOI:10.1136/bmjstel-2020-000650
PMID:35516823
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8936644/
Abstract

BACKGROUND

Latent safety threats (LSTs) in healthcare are hazards or conditions that risk patient safety but are not readily apparent without system stress. In situ simulation (ISS), followed by post-scenario debriefing is a common method to identify LSTs within the clinical environment. The function of post-ISS debriefing for LST identification is not well understood.

OBJECTIVES

This study aims to qualitatively characterise the types of LSTs identified during ISS debriefing.

METHODS

We conducted 12 ISS trauma scenarios followed by debriefing at a Canadian, Level 1 trauma centre. We designed the scenarios and debriefing for 15 and 20 min, respectively. Debriefings focused on LST identification, and each session was audio recorded and transcribed. We used an inductive approach with qualitative content analysis to code text data into an initial coding tree. We generated refined topics from the coded text data.

RESULTS

We identified five major topics: (1) communication and teamwork challenges, (2) system-level issues, (3) resource constraints, (4) positive team performance and (5) potential improvements to the current systems and processes.

CONCLUSIONS

During simulation debriefing sessions for LST identification, participants discussed threats related to communication and interpersonal issues. Safety issues relating to equipment, processes and the physical space received less emphasis. These findings may guide health system leaders and simulation experts better understanding of the strengths and limitations of simulation debriefing for LST identification. Further studies are required to compare ISS-based LST identification techniques.

摘要

背景

医疗保健中的潜在安全威胁(LSTs)是指那些对患者安全构成风险,但在系统未承受压力时不易显现的危害或状况。情景模拟(ISS),随后进行情景后总结汇报是在临床环境中识别LSTs的常用方法。情景模拟后总结汇报在识别LSTs方面的作用尚未得到充分理解。

目的

本研究旨在定性描述情景模拟总结汇报期间识别出的LSTs类型。

方法

我们在加拿大一家一级创伤中心进行了12次情景模拟创伤情景演练,随后进行总结汇报。我们分别为情景设计和总结汇报设定了15分钟和20分钟的时间。总结汇报聚焦于LSTs的识别,每次会议都进行了音频录制和转录。我们采用归纳法和定性内容分析法将文本数据编码到一个初始编码树中。我们从编码后的文本数据中生成了细化的主题。

结果

我们识别出五个主要主题:(1)沟通与团队协作挑战,(2)系统层面问题,(3)资源限制,(4)团队积极表现,以及(5)对当前系统和流程的潜在改进。

结论

在用于识别LSTs的模拟总结汇报会议期间,参与者讨论了与沟通和人际问题相关的威胁。与设备、流程和物理空间相关的安全问题受到的关注较少。这些发现可能有助于卫生系统领导者和模拟专家更好地理解模拟总结汇报在识别LSTs方面的优势和局限性。需要进一步的研究来比较基于情景模拟的LSTs识别技术。