Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study.

Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study.
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DOI:
10.2196/27261
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发表时间:
2021-10-20
影响因子:
7.4
通讯作者:
Chen Y
Chen Y
中科院分区:
医学2区
文献类型:
--
作者:
Mannering H;Yan C;Gong Y;Alrifai MW;France D;Chen Y

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卫生保健组织(HCO)采取战略(例如,物理距离),以在COVID-19大流行期间保护重症监护室(ICU)的临床医生和患者。许多在COVID-19大流行前实际进行的护理活动已于大流行期间过渡至虚拟系统。这些转变可能会干扰ICU的协作结构,从而影响临床结果。了解这些差异可以帮助HCO在后COVID-19时代将物理协作过渡到虚拟环境时识别挑战。本研究旨在利用网络分析来确定新生儿重症监护室(NICU)协作结构从COVID-19前到内的变化。本回顾性研究应用网路分析法,分析712位新生儿重症病例电子健康档案之利用情况(COVID-19前,n=386; 2019年9月1日至2020年6月30日期间在范德比尔特大学医学中心NICU住院的患者(n=326,不包括COVID-19患者),以评估临床医生之间的合作。我们将2019冠状病毒病疫情前的期间界定为2019年9月至12月期间,并将2019冠状病毒病疫情期间界定为2020年3月至6月期间。根据患者的临床特征,包括年龄、性别、种族、住院时间(LOS)和出院处置,对这两组进行比较。我们利用致力于患者EHR的临床医生的行动来衡量临床医生与临床医生之间的联系。我们将2名临床医生之间的合作关系(关系)描述为在同一天内对同一患者进行EHR。在定义合作关系方面,我们建立了COVID-19前和COVID-19内的网络。我们使用了3个社会计量学测量,包括特征向量中心性,偏心率和介数,分别量化临床医生的领导力,协作难度和网络中的广泛技能。我们使用Mann-Whitney U检验(95%CI)评估了2个网络中临床医生的特征向量中心性、偏心率和介数的统计学差异程度。从COVID-19爆发前到爆发期间,协作难度有所增加(偏心率中位数:3 vs 4; P<.001)。护士的领导能力下降(特征向量中心性中位数:0.183 vs 0.087; P<.001),在流感大流行期间,具有更广泛技能的产科医生在NICU结构中照顾更多的患者(介数中心性中位数:0.0001 vs 0.005; P<.001)。COVID-19前和COVID-19内患者组在性别(差异约为0)、种族(白色差异为4%,非裔美国人差异为3%)、LOS(1.5天内的四分位距差异)和出院处置(家中差异约为0,死亡差异为2%,其他差异为2%)方面具有相似的分布。两组之间的患者人口统计学和结局无显著差异。NICU收治患者的管理通常需要多学科护理团队。了解协作结构可以提供细粒度的证据,以潜在地改进或优化NICU中现有的团队合作。
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