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社交网络结构与中风后家庭远程康复功能改善相关。

Social Network Structure Is Related to Functional Improvement From Home-Based Telerehabilitation After Stroke.

作者信息

Podury Archana, Raefsky Sophia M, Dodakian Lucy, McCafferty Liam, Le Vu, McKenzie Alison, See Jill, Zhou Robert J, Nguyen Thalia, Vanderschelden Benjamin, Wong Gene, Nazarzai Laila, Heckhausen Jutta, Cramer Steven C, Dhand Amar

机构信息

Harvard Medical School, Boston, MA, United States.

Department of Neurology, Brigham and Women's Hospital, Boston, MA, United States.

出版信息

Front Neurol. 2021 Feb 2;12:603767. doi: 10.3389/fneur.2021.603767. eCollection 2021.

Abstract

Telerehabilitation (TR) is now, in the context of COVID-19, more clinically relevant than ever as a major source of outpatient care. The social network of a patient is a critical yet understudied factor in the success of TR that may influence both engagement in therapy programs and post-stroke outcomes. We designed a 12-week home-based TR program for stroke patients and evaluated which social factors might be related to motor gains and reduced depressive symptoms. Stroke patients ( = 13) with arm motor deficits underwent supervised home-based TR for 12 weeks with routine assessments of motor function and mood. At the 6-week midpoint, we mapped each patient's personal social network and evaluated relationships between social network metrics and functional improvements from TR. Finally, we compared social networks of TR patients with a historical cohort of 176 stroke patients who did not receive any TR to identify social network differences. Both network size and network density were related to walk time improvement ( = 0.025; = 0.003). Social network density was related to arm motor gains ( = 0.003). Social network size was related to reduced depressive symptoms ( = 0.015). TR patient networks were larger ( = 0.012) and less dense ( = 0.046) than historical stroke control networks. Social network structure is positively related to improvement in motor status and mood from TR. TR patients had larger and more open social networks than stroke patients who did not receive TR. Understanding how social networks intersect with TR outcomes is crucial to maximize effects of virtual rehabilitation.

摘要

在新冠疫情背景下,远程康复(TR)作为门诊护理的主要来源,其临床相关性比以往任何时候都更高。患者的社交网络是远程康复成功的一个关键但尚未得到充分研究的因素,它可能会影响患者参与治疗项目的程度以及中风后的恢复情况。我们为中风患者设计了一个为期12周的居家远程康复项目,并评估了哪些社会因素可能与运动功能改善和抑郁症状减轻有关。13名存在手臂运动功能障碍的中风患者接受了为期12周的居家远程监督康复治疗,并定期对运动功能和情绪进行评估。在第6周的中点,我们绘制了每位患者的个人社交网络,并评估社交网络指标与远程康复功能改善之间的关系。最后,我们将远程康复患者的社交网络与176名未接受任何远程康复的中风患者历史队列进行比较,以确定社交网络的差异。网络规模和网络密度均与步行时间改善相关(P = 0.025;P = 0.003)。社交网络密度与手臂运动功能改善相关(P = 0.003)。社交网络规模与抑郁症状减轻相关(P = 0.015)。与中风对照历史队列相比,远程康复患者的社交网络更大(P = 0.012)且密度更低(P = 0.046)。社交网络结构与远程康复后运动状态和情绪的改善呈正相关。与未接受远程康复的中风患者相比,远程康复患者拥有更大且更开放的社交网络。了解社交网络如何与远程康复结果相互作用对于最大化虚拟康复的效果至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/7884632/fdec0d44170c/fneur-12-603767-g0001.jpg

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