Departments of Surgery (Dr West), Psychology (Dr Perrin), and Physical Medicine and Rehabilitation (Dr Perrin), Virginia Commonwealth University (Ms Grover), Richmond; Central Virginia Veterans Affairs Health Care System, Richmond (Drs Klyce, Perrin, and Campbell and Ms Vargas); Virginia Commonwealth University Health System, Richmond (Dr Klyce); Sheltering Arms Institute, Richmond, Virginia (Dr Klyce); The Institute for Rehabilitation Research, Memorial Hermann, Houston, Texas (Dr Juengst); Departments of Rehabilitation and Human Performance (Dr Dams-O'Connor) and Neurology (Dr Dams-O'Connor), Icahn School of Medicine at Mount Sinai, New York City, New York; Rehabilitation & Extended Care Patient Service Line, Minneapolis VA Health Care System, Minneapolis, Minnesota (Dr Finn); Psychiatry and Behavioral Sciences, University of Minnesota-Twin Cities, Minneapolis (Dr Finn); Department of Research, Craig Hospital, Englewood, Colorado (Ms Eagye and Dr Agtarap); and VA Palo Alto Health Care System, Polytrauma System of Care, Palo Alto, California (Dr Chung).
J Head Trauma Rehabil. 2023;38(5):401-409. doi: 10.1097/HTR.0000000000000820. Epub 2022 Oct 21.
The construct of participation after traumatic brain injury (TBI) can be difficult to operationalize. Psychometric network analysis offers an empirical approach to visualizing and quantifying the associations between activities that comprise participation, elucidating the relations among the construct's components without assuming the presence of a latent common cause and generating a model to inform future measurement methods. The current research applied psychometric network analysis to the Participation Assessment with Recombined Tools-Objective (PART-O) within a sample of service members and veterans (SM/Vs) with a history of TBI at 1 and 2 years ( T1 and T2 ) postinjury.
Participants ( N = 663) were SM/Vs with a history of TBI who completed comprehensive inpatient rehabilitation services at a Department of Veterans Affairs (VA) Polytrauma Rehabilitation Center (PRC).
Five VA PRCs.
Cross-sectional, retrospective analysis of data from the VA TBI Model Systems study.
PART-O.
Network analysis demonstrated that the PART-O structure was generally consistent over time, but some differences emerged. The greatest difference observed was the association between "spending time with friends" and "giving emotional support" to others. This association was more than twice as strong at T2 as at T1 . The "out of the house" item was most central, as demonstrated by dense connections within its own subscale (Out and About) and items in other subscales (ie, Social Relations and Productivity). When examining items connecting the 3 subscales, the items related to giving emotional support, internet use, and getting out of the house emerged as the strongest connectors at T1 , and the internet was the strongest connector at T2 .
Providing emotional support to others is associated with greater participation across multiple domains and is an important indicator of recovery. Being out and about, internet use, and engagement in productive activities such as school and work shared strong associations with Social Relations. Network analysis permits visual conceptualization of the dynamic constructs that comprise participation and has the potential to inform approaches to measurement and treatment.
创伤性脑损伤(TBI)后的参与结构可能难以操作。心理测量网络分析提供了一种直观和量化参与构成活动之间关联的实证方法,阐明了该结构各组成部分之间的关系,而无需假设存在潜在的共同原因,并生成一个模型来为未来的测量方法提供信息。当前的研究在 TBI 后 1 年和 2 年(T1 和 T2)的服务成员和退伍军人(SM/Vs)样本中,应用心理测量网络分析对参与评估与再组合工具-客观(PART-O)进行了分析。
参与者(N=663)为有 TBI 病史的 SM/Vs,他们在退伍军人事务部(VA)创伤后康复中心(PRC)完成了全面的住院康复服务。
五个 VA PRC。
VA TBI 模型系统研究中数据的横断面、回顾性分析。
PART-O。
网络分析表明,PART-O 结构总体上在时间上是一致的,但也出现了一些差异。观察到的最大差异是“与朋友共度时光”和“给予他人情感支持”之间的关联。与 T1 相比,T2 时这种关联强了两倍多。“出门”项目最为核心,这表现在其自身子量表(外出)和其他子量表(社交关系和生产力)项目中的紧密联系上。在检查连接 3 个子量表的项目时,与给予情感支持、上网和出门相关的项目在 T1 时是最强的连接,而在 T2 时上网是最强的连接。
向他人提供情感支持与多个领域的更高参与度相关,是康复的重要指标。外出、上网以及从事学校和工作等生产性活动与社交关系密切相关。网络分析允许直观地概念化构成参与的动态结构,并有潜力为测量和治疗方法提供信息。