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面向 COVID-19 期间建立适应能力的主动学习方法:一项放射学案例研究。

A proactive learning approach toward building adaptive capacity during COVID-19: A radiology case study.

机构信息

Clemson University, USA.

Children's Hospital of Philadelphia, USA.

出版信息

Appl Ergon. 2023 Jul;110:104009. doi: 10.1016/j.apergo.2023.104009. Epub 2023 Mar 6.

DOI:10.1016/j.apergo.2023.104009
PMID:36905728
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9986132/
Abstract

The COVID-19 pandemic has challenged organizations to adapt under uncertainty and time pressure, with no pre-existing protocols or guidelines available. For organizations to learn to adapt effectively, there is a need to understand the perspectives of the frontline workforce involved in everyday operations. This study implemented a survey-tool to elicit narratives of successful adaptation based on the lived experiences frontline radiology staff at a large multispecialty pediatric hospital. Fifty-eight members of the radiology frontline staff responded to the tool between July and October of 2020. Qualitative analysis of the free-text data revealed five categories of themes that underpinned adaptive capacity of the radiology department during the pandemic: information flow, attitudes and initiative, new and adjusted workflows, availability and utilization of resources, and collaboration and teamwork. Enablers of adaptive capacity included timely and clear communication about procedures and policies from the leadership to frontline staff, and revised workflows with flexible work arrangements, such as remote patient screening. Responses to multiple choice questions in the tool helped identify the main categories of challenges faced by staff, factors that enabled successful adaptation, and resources used. The study demonstrates the use of a survey-tool to proactively identify frontline adaptations. The paper also reports a system-wide intervention resulting directly from a discovery enabled by the findings based on the use of RETIPS in the radiology department. In general, the tool could be used in concert with existing learning mechanisms, such as safety event reporting systems, to inform leadership-level decisions to support adaptive capacity.

摘要

COVID-19 大流行使各组织在不确定和时间压力下不得不进行调整,而没有现成的协议或指南可用。为了使组织能够有效地学习适应,有必要了解参与日常运营的一线工作人员的观点。本研究实施了一项调查工具,以根据大型多专业儿科医院一线放射科工作人员的实际经验,引出成功适应的叙述。2020 年 7 月至 10 月期间,放射科一线工作人员中有 58 名人员对该工具做出了回应。对自由文本数据的定性分析揭示了支持放射科在大流行期间适应能力的五个主题类别:信息流、态度和主动性、新的和调整后的工作流程、资源的可用性和利用、以及协作和团队合作。适应能力的促成因素包括领导层向一线工作人员及时、清晰地传达程序和政策,以及修订具有灵活工作安排的工作流程,例如远程患者筛查。工具中的多项选择题的回答有助于确定员工面临的主要挑战类别、使适应成功的因素以及使用的资源。该研究展示了使用调查工具主动识别一线适应的方法。本文还报告了一项系统范围的干预措施,该措施直接源于放射科使用 RETIPS 发现的结果。总的来说,该工具可以与现有的学习机制(如安全事件报告系统)一起使用,为领导层的决策提供信息,以支持适应能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/fc846546ecb2/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/d38e7a07eb48/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/e829a0cdb8e7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/268a9f2ef4fb/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/11f9a041bf17/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/fc846546ecb2/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/d38e7a07eb48/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/e829a0cdb8e7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/268a9f2ef4fb/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/11f9a041bf17/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/263a/9986132/fc846546ecb2/gr5_lrg.jpg

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本文引用的文献

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BMJ Lead. 2020 Sep 28;4(3):109-112. doi: 10.1136/leader-2020-000245. Epub 2020 May 18.
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Lessons Learned From the Resilience of Chinese Hospitals to the COVID-19 Pandemic: Scoping Review.从中国医院应对新冠疫情的韧性中汲取的经验教训:范围综述
JMIRx Med. 2022 Apr 6;3(2):e31272. doi: 10.2196/31272. eCollection 2022 Apr-Jun.
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Bracing for the Wave: a Multi-Institutional Survey Analysis of Inpatient Workforce Adaptations in the First Phase of COVID-19.
为浪潮做好准备:COVID-19 第一阶段住院医师队伍适应性的多机构调查分析。
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Rapid response system adaptations at 40 US hospitals during the COVID-19 pandemic.美国40家医院在新冠疫情期间对快速反应系统的调整。
Resusc Plus. 2021 Jun;6:100121. doi: 10.1016/j.resplu.2021.100121. Epub 2021 Apr 12.
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Population Health Strategies to Support Hospital and Intensive Care Unit Resiliency During the COVID-19 Pandemic: The Italian Experience.在 COVID-19 大流行期间支持医院和重症监护病房恢复力的人口健康策略:意大利的经验。
Popul Health Manag. 2021 Apr;24(2):174-181. doi: 10.1089/pop.2020.0255. Epub 2020 Dec 30.
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