Medical Education Center, School of Medicine, Keio University, 35 Shinanomachi, Shinjukuku, Tokyo, 160-8582, Japan.
Division of Information Engineering, Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan.
BMC Health Serv Res. 2022 Aug 31;22(1):1107. doi: 10.1186/s12913-022-08478-1.
Understanding the evolution of social network services (SNSs) can provide insights into the functions of interprofessional information-sharing systems. Using social network analysis, we aimed to analyze annual changes in the network structure of SNS-based information sharing among healthcare professionals over a 3-year period in Japan.
We analyzed data on SNS-based information sharing networks with online message boards for healthcare professionals for 2018, 2019, and 2020 in a Japanese community. These networks were created for each patient so that healthcare professionals could post and view messages on the web platform. In the social network analysis (SNA), healthcare professionals registered with a patient group were represented as nodes, and message posting and viewing relationships were represented as links. We investigated the structural characteristics of the networks using several measures for SNA, including reciprocity, assortativity and betweenness centrality, which reflect interrelational links, the prevalence of similar nodes with neighbors, and the mediating roles of other nodes, respectively. Next, to compare year-to-year trends in networks of patients overall, and between receiving nursing care levels 1-3 (lighter care requirement) and levels 4-5 (heavier care requirement), we described the annual structural differences and analyzed each measure for SNA using the Steel-Dwass test.
Among 844, 940, and 1063 groups in each year, groups for analysis in care levels 1-3/4-5 were identified as 106/135, 79/89, and 57/57, respectively. The overall annual assessment showed a trend toward increased diameter and decreased density, but the differences were not significant. For those requiring care levels 1-3, assortativity decreased significantly, while for those requiring care levels 4-5, reciprocity decreased and betweenness centrality increased significantly. No significant differences were found in the other items.
This study revealed that the network of patients with a lighter care requirement had more connections consisting of nodes with different links, whereas the network of patients with a heavier care requirement had more fixed intermediary roles and weaker interrelationships among healthcare professionals. Clarifying interprofessional collaborative mechanisms underlying development patterns among healthcare professionals can contribute to future clinical quality improvement.
了解社交网络服务(SNS)的演变可以深入了解跨专业信息共享系统的功能。本研究使用社交网络分析方法,旨在分析日本三年内基于 SNS 的医疗专业人员信息共享网络的年度变化。
我们分析了日本社区在线医疗专业人员留言板上基于 SNS 的信息共享网络的数据,这些网络是为每位患者创建的,以便医疗专业人员可以在网络平台上发布和查看信息。在社交网络分析(SNA)中,注册患者组的医疗专业人员被表示为节点,信息发布和查看关系被表示为链接。我们使用 SNA 的几个指标调查网络的结构特征,包括反映相互关系的网络的互惠性、同配性和中间中心性,以及邻居中相似节点的流行程度和其他节点的中介作用。接下来,为了比较总体患者网络的逐年趋势,以及护理需求较轻(1-3 级)和较重(4-5 级)的患者网络,我们描述了年度结构差异,并使用 Steel-Dwass 检验分析了 SNA 的每个指标。
在每年的 844、940 和 1063 组中,1-3/4-5 护理级别的分析组分别为 106/135、79/89 和 57/57。总体年度评估显示,直径增加,密度降低,但差异不显著。对于护理需求较轻的患者,同配性显著降低,而对于护理需求较重的患者,互惠性降低,中间中心性增加。其他项目没有发现显著差异。
本研究表明,护理需求较轻的患者网络具有更多由不同节点连接组成的连接,而护理需求较重的患者网络具有更多固定的中介角色和医疗专业人员之间较弱的相互关系。阐明医疗专业人员之间的合作机制,有助于未来临床质量的提高。