COVID-19大流行中的团队述职:全院临床事件述职计划的定性研究和述职内容分析的新型定性模型

IF 2.8 Q2 HEALTH CARE SCIENCES & SERVICES Advances in simulation (London, England) Pub Date : 2022-10-27 DOI:10.1186/s41077-022-00226-z
Thomas B Welch-Horan, Paul C Mullan, Zobiya Momin, Jeannie Eggers, Julia B Lawrence, Royanne L Lichliter, Cara B Doughty
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引用次数: 2

摘要

背景:在COVID-19大流行的最初几个月,卫生保健工作者面临着独特的挑战,需要迅速适应。临床事件汇报(ced)是团队可以用来在事件发生后进行反思并确定改进其绩效和流程的机会的工具。关于团队如何在COVID-19大流行中使用CEDs的报道很少。我们的目的是探讨在2019冠状病毒病经济发展阶段讨论的问题,并提出一个定性分析经济发展阶段的框架模型。方法:这是一项描述性的定性研究,对2020年3月至7月期间一家第四儿童医院全院范围内的CED项目进行了研究。CEDs是面对面的、团队领导的、自愿的、有脚本的会议,使用了“鼓励反思和团队学习的疑似COVID-19汇报”(DISCOVER-TooL)。简报内容定性分析使用恒定的比较编码与综合演绎和归纳的方法。提出了一个新的概念框架,以理解如何在卫生系统的各个层次上使用汇报内容以进行学习和改进。结果:对31例述情进行了分析。汇报的参与者中位数为7人,持续时间中位数为10分钟,并且与多个基于系统的过程改进有关。确定了14个主题和25个子主题,并将其归类为一个新的输入-中介-输出-输入汇报(IMOID)模型。最常见的主题包括沟通、协调、态势感知、团队成员角色和临床标准。结论:团队在汇报讨论中确定了与高绩效领域和改进COVID-19患者护理机会相关的各种问题。该模型可以帮助医疗保健系统了解如何使用CED工具来加速组织学习,从而在不断变化的临床环境中促进安全性和改善结果。
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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Team debriefing in the COVID-19 pandemic: a qualitative study of a hospital-wide clinical event debriefing program and a novel qualitative model to analyze debriefing content.

Background: Healthcare workers faced unique challenges during the early months of the COVID-19 pandemic which necessitated rapid adaptation. Clinical event debriefings (CEDs) are one tool that teams can use to reflect after events and identify opportunities for improving their performance and their processes. There are few reports of how teams have used CEDs in the COVID-19 pandemic. Our aim is to explore the issues discussed during COVID-19 CEDs and propose a framework model for qualitatively analyzing CEDs.

Methods: This was a descriptive, qualitative study of a hospital-wide CED program at a quaternary children's hospital between March and July 2020. CEDs were in-person, team-led, voluntary, scripted sessions using the Debriefing in Suspected COVID-19 to Encourage Reflection and Team Learning (DISCOVER-TooL). Debriefing content was qualitatively analyzed using constant comparative coding with an integrated deductive and inductive approach. A novel conceptual framework was proposed for understanding how debriefing content can be employed at various levels in a health system for learning and improvement.

Results: Thirty-one debriefings were performed and analyzed. Debriefings had a median of 7 debriefing participants, lasted a median of 10 min, and were associated with multiple systems-based process improvements. Fourteen themes and 25 subthemes were identified and categorized into a novel Input-Mediator-Output-Input Debriefing (IMOID) model. The most common themes included communication, coordination, situational awareness, team member roles, and clinical standards.

Conclusions: Teams identified diverse issues in their debriefing discussions related to areas of high performance and opportunities for improvement in their care of COVID-19 patients. This model may help healthcare systems to understand how CED tools can be used to accelerate organizational learning to promote safety and improve outcomes in changing clinical environments.

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CiteScore
5.70
自引率
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审稿时长
12 weeks
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