@文章{info:doi/10.2196/27261，作者=“曼纳林，汉娜和燕，Chao和龚，杨和Alrifai, Mhd Wael和法国，丹尼尔和陈，你”，标题=“评估COVID-19大流行前后新生儿重症监护病房结构和结果:网络分析研究”，期刊=“J医学互联网研究”，年=“2021”，月=“10”，日=“20”，卷=“23”，数=“10”，页=“e27261”，关键词=“新生儿重症监护病房;协作;保健组织结构;重症监护;滞留时间;放电性情;电子健康记录;网络分析;COVID-19;背景:卫生保健组织(HCOs)采用的策略(如。 physical distancing) to protect clinicians and patients in intensive care units (ICUs) during the COVID-19 pandemic. Many care activities physically performed before the COVID-19 pandemic have transitioned to virtual systems during the pandemic. These transitions can interfere with collaboration structures in the ICU, which may impact clinical outcomes. Understanding the differences can help HCOs identify challenges when transitioning physical collaboration to the virtual setting in the post--COVID-19 era. Objective: This study aims to leverage network analysis to determine the changes in neonatal ICU (NICU) collaboration structures from the pre-- to the intra--COVID-19 era. Methods: In this retrospective study, we applied network analysis to the utilization of electronic health records (EHRs) of 712 critically ill neonates (pre--COVID-19, n=386; intra--COVID-19, n=326, excluding those with COVID-19) admitted to the NICU of Vanderbilt University Medical Center between September 1, 2019, and June 30, 2020, to assess collaboration between clinicians. We characterized pre--COVID-19 as the period of September-December 2019 and intra--COVID-19 as the period of March-June 2020. These 2 groups were compared using patients' clinical characteristics, including age, sex, race, length of stay (LOS), and discharge dispositions. We leveraged the clinicians' actions committed to the patients' EHRs to measure clinician-clinician connections. We characterized a collaboration relationship (tie) between 2 clinicians as actioning EHRs of the same patient within the same day. On defining collaboration relationship, we built pre-- and intra--COVID-19 networks. We used 3 sociometric measurements, including eigenvector centrality, eccentricity, and betweenness, to quantify a clinician's leadership, collaboration difficulty, and broad skill sets in a network, respectively. We assessed the extent to which the eigenvector centrality, eccentricity, and betweenness of clinicians in the 2 networks are statistically different, using Mann-Whitney U tests (95{\%} CI). Results: Collaboration difficulty increased from the pre-- to intra--COVID-19 periods (median eccentricity: 3 vs 4; P<.001). Nurses had reduced leadership (median eigenvector centrality: 0.183 vs 0.087; P<.001), and neonatologists with broader skill sets cared for more patients in the NICU structure during the pandemic (median betweenness centrality: 0.0001 vs 0.005; P<.001). The pre-- and intra--COVID-19 patient groups shared similar distributions in sex ({\textasciitilde}0 difference), race (4{\%} difference in White, and 3{\%} difference in African American), LOS (interquartile range difference in 1.5 days), and discharge dispositions ({\textasciitilde}0 difference in home, 2{\%} difference in expired, and 2{\%} difference in others). There were no significant differences in the patient demographics and outcomes between the 2 groups. Conclusions: Management of NICU-admitted patients typically requires multidisciplinary care teams. Understanding collaboration structures can provide fine-grained evidence to potentially refine or optimize existing teamwork in the NICU. ", issn="1438-8871", doi="10.2196/27261", url="//www.mybigtv.com/2021/10/e27261", url="https://doi.org/10.2196/27261", url="http://www.ncbi.nlm.nih.gov/pubmed/34637393" }