新冠重症监护中的协作结构:回顾性网络分析研究

Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study.

作者信息

Yan Chao, Zhang Xinmeng, Gao Cheng, Wilfong Erin, Casey Jonathan, France Daniel, Gong Yang, Patel Mayur, Malin Bradley, Chen You

机构信息

Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States.

Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.

出版信息

JMIR Hum Factors. 2021 Mar 8;8(1):e25724. doi: 10.2196/25724.

Abstract

BACKGROUND

Few intensive care unit (ICU) staffing studies have examined the collaboration structures of health care workers (HCWs). Knowledge about how HCWs are connected to the care of critically ill patients with COVID-19 is important for characterizing the relationships among team structures, care quality, and patient safety.

OBJECTIVE

We aimed to discover differences in the teamwork structures of COVID-19 critical care by comparing HCW collaborations in the management of critically ill patients with and without COVID-19.

METHODS

In this retrospective study, we used network analysis methods to analyze the electronic health records (EHRs) of 76 critically ill patients (with COVID-19: n=38; without COVID-19: n=38) who were admitted to a large academic medical center, and to learn about HCW collaboration. We used the EHRs of adult patients who were admitted to the COVID-19 ICU at the Vanderbilt University Medical Center (Nashville, Tennessee, United States) between March 17, 2020, and May 31, 2020. We matched each patient according to age, gender, and their length of stay. Patients without COVID-19 were admitted to the medical ICU between December 1, 2019, and February 29, 2020. We used two sociometrics-eigencentrality and betweenness-to quantify HCWs' statuses in networks. Eigencentrality characterizes the degree to which an HCW is a core person in collaboration structures. Betweenness centrality refers to whether an HCW lies on the path of other HCWs who are not directly connected. This sociometric was used to characterize HCWs' broad skill sets. We measured patient staffing intensity in terms of the number of HCWs who interacted with patients' EHRs. We assessed the statistical differences in the core and betweenness statuses of HCWs and the patient staffing intensities of COVID-19 and non-COVID-19 critical care, by using Mann-Whitney U tests and reporting 95% CIs.

RESULTS

HCWs in COVID-19 critical care were more likely to frequently work with each other (eigencentrality: median 0.096) than those in non-COVID-19 critical care (eigencentrality: median 0.057; P<.001). Internal medicine physicians in COVID-19 critical care had higher core statuses than those in non-COVID-19 critical care (P=.001). Nurse practitioners in COVID-19 care had higher betweenness statuses than those in non-COVID-19 care (P<.001). Compared to HCWs in non-COVID-19 settings, the EHRs of critically ill patients with COVID-19 were used by a larger number of internal medicine nurse practitioners (P<.001), cardiovascular nurses (P<.001), and surgical ICU nurses (P=.002) and a smaller number of resident physicians (P<.001).

CONCLUSIONS

Network analysis methodologies and data on EHR use provide a novel method for learning about differences in collaboration structures between COVID-19 and non-COVID-19 critical care. Health care organizations can use this information to learn about the novel changes that the COVID-19 pandemic has imposed on collaboration structures in urgent care.

摘要

背景

很少有重症监护病房(ICU)人员配备研究考察过医护人员(HCW)的协作结构。了解医护人员如何与新冠肺炎危重症患者的护理相联系,对于描述团队结构、护理质量和患者安全之间的关系至关重要。

目的

我们旨在通过比较参与新冠肺炎危重症患者和非新冠肺炎危重症患者管理的医护人员协作情况,发现新冠肺炎危重症护理中团队协作结构的差异。

方法

在这项回顾性研究中,我们使用网络分析方法分析了一家大型学术医疗中心收治的76例危重症患者(新冠肺炎患者:n = 38;非新冠肺炎患者:n = 38)的电子健康记录(EHR),以了解医护人员的协作情况。我们使用了2020年3月17日至5月31日期间在美国田纳西州纳什维尔范德比尔特大学医学中心新冠肺炎ICU收治的成年患者的电子健康记录。我们根据年龄、性别和住院时间对每位患者进行匹配。非新冠肺炎患者于2019年12月1日至2020年2月29日期间入住内科ICU。我们使用两种社会计量学方法——特征向量中心性和中介中心性——来量化医护人员在网络中的地位。特征向量中心性描述了医护人员在协作结构中作为核心人物的程度。中介中心性指的是医护人员是否位于其他未直接相连的医护人员之间的路径上。这种社会计量学方法用于描述医护人员广泛的技能组合。我们根据与患者电子健康记录互动的医护人员数量来衡量患者的人员配备强度。我们使用曼-惠特尼U检验并报告95%置信区间,评估新冠肺炎和非新冠肺炎危重症护理中医护人员的核心地位和中介地位以及患者人员配备强度的统计差异。

结果

与非新冠肺炎危重症护理中的医护人员相比,新冠肺炎危重症护理中的医护人员更有可能频繁相互协作(特征向量中心性:中位数0.096)(非新冠肺炎危重症护理中的医护人员特征向量中心性:中位数0.057;P <.001)。新冠肺炎危重症护理中的内科医生比非新冠肺炎危重症护理中的内科医生具有更高的核心地位(P = 0.001)。新冠肺炎护理中的执业护士比非新冠肺炎护理中的执业护士具有更高的中介地位(P <.001)。与非新冠肺炎环境中的医护人员相比,更多的内科执业护士(P <.001)、心血管护士(P <.001)和外科ICU护士(P = 0.002)使用了新冠肺炎危重症患者的电子健康记录,而住院医生使用的较少(P <.001)。

结论

网络分析方法和电子健康记录使用数据为了解新冠肺炎和非新冠肺炎危重症护理中协作结构的差异提供了一种新方法。医疗保健组织可以利用这些信息了解新冠肺炎疫情给紧急护理中的协作结构带来的新变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5f/7942392/46edc73c4de2/humanfactors_v8i1e25724_fig1.jpg

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