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儿童医院住院患者临床病情恶化期间安全短信元数据的社交网络分析

Social Network Analysis of Secure Text Messaging Metadata During Clinical Deterioration in an Inpatient Children's Hospital Setting.

作者信息

Smith Andrew Harold, Tudor Brant, Mohan Vishnu, Rehman Mohamed A, Ahumada Luis

机构信息

Division of Critical Care Medicine, Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA.

Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.

出版信息

J Med Syst. 2025 Sep 19;49(1):116. doi: 10.1007/s10916-025-02250-8.

Abstract

Mitigating clinical deterioration relies upon recognition (afferent limb) and interventions (efferent limb) by a healthcare team. Healthcare provider (HP) communication by text messaging plays a role in facilitating both limbs in the inpatient setting. We sought to quantitatively characterize healthcare provider team communications through the social network analysis (SNA) of secure text messages exchanged in the inpatient setting, and as they relate to a subgroup of patients demonstrating a deterioration during their hospitalization. Messages linked to inpatients exchanged between HPs over a 12-month period, including a cohort of messages linked to patients experiencing deterioration were analyzed using SNA. Subnetworks corresponding to individual patient encounters were constructed, including a series of subnetworks pertaining to patients with an impending clinical deterioration. Network and network participant characteristics were calculated and analyzed. From October 2022 through September 2023 there were 1,065,225 messages delivered by 3,272 HPs, associated with 4,328 inpatient hospital encounters, of which 120 hospital encounters were associated with a deterioration. SNA demonstrated significantly higher measures of eigenvector centrality among frontline providers (FLP) including advanced practice providers and housestaff, relative to attending physician (p < 0.001) and registered nurses (p < 0.001), consistent with greater influence of the FLP on information dissemination through the entire network. Within individual subnetworks associated with the care of patients experiencing a clinical deterioration, FLP participants demonstrated greater overall network influence (p = 0.032) relative to FLP counterparts in networks not associated with a deterioration, despite comparable numbers of participants and connections. Using SNA, we quantitatively characterized a text messaging network within an inpatient hospital setting, demonstrating the importance of FLPs on information dissemination, a finding demonstrated specifically within subnetworks dedicated to the care of individual deteriorating patients. Understanding characteristics of a dynamic communication network of healthcare providers may prove a valuable target in facilitating communication and in mitigating the risks of deterioration.IRB Approval: Johns Hopkins Medicine IRB (#CIR00419339).Clinical trial number: Not applicable.

摘要

减轻临床病情恶化依赖于医疗团队的识别(传入环节)和干预(传出环节)。在住院环境中,医疗服务提供者(HP)通过短信进行的沟通在促进这两个环节中发挥着作用。我们试图通过对住院环境中交换的安全短信进行社交网络分析(SNA),并将其与住院期间病情恶化的患者亚组相关联,来定量描述医疗服务提供者团队的沟通情况。使用SNA分析了在12个月期间HP之间与住院患者交换的信息,包括与病情恶化患者相关的一组信息。构建了与个体患者诊疗过程相对应的子网,包括一系列与即将发生临床病情恶化的患者相关的子网。计算并分析了网络和网络参与者的特征。从2022年10月到2023年9月,3272名HP发送了1065225条信息,与4328次住院患者诊疗过程相关,其中120次住院诊疗过程与病情恶化相关。SNA显示,相对于主治医师(p < 0.001)和注册护士(p < 0.001),包括高级实践提供者和住院医师在内的一线提供者(FLP)的特征向量中心性指标显著更高,这与FLP对整个网络中信息传播的更大影响一致。在与临床病情恶化患者护理相关的各个子网中,尽管参与者数量和连接数量相当,但与未发生病情恶化的网络中的FLP相比,FLP参与者表现出更大的整体网络影响力(p = 0.032)。通过SNA,我们定量描述了住院医院环境中的短信网络,证明了FLP在信息传播中的重要性,这一发现尤其在专门护理个体病情恶化患者的子网中得到体现。了解医疗服务提供者动态通信网络的特征可能是促进沟通和降低病情恶化风险的一个有价值的目标。机构审查委员会批准:约翰霍普金斯医学机构审查委员会(#CIR00419339)。临床试验编号:不适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a871/12449403/7d42bf0fb28d/10916_2025_2250_Fig1_HTML.jpg

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