4.6 Article

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

Journal

FRONTIERS IN NEUROLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.603767

Keywords

stroke; telerehabilitation; social networks; stroke recovery; telemedicine

Funding

  1. American Heart Association/American Stroke Association Initiative [13GRNT16990060, 17IRG33460393]
  2. Massachusetts Medical Society Information Technology Award
  3. National Institute of Child Health and Human Development [R01HD099176]

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The study found that the size and density of social networks were associated with improvement in motor function among rehabilitation patients. Social network density was related to arm motor gains, while network size was related to reduced depressive symptoms. Patients undergoing telerehabilitation had larger and more open social networks compared to historical stroke patients who did not receive telerehabilitation.
Objective: 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. Methods: Stroke patients (n = 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. Results: Both network size and network density were related to walk time improvement (p = 0.025; p = 0.003). Social network density was related to arm motor gains (p = 0.003). Social network size was related to reduced depressive symptoms (p = 0.015). TR patient networks were larger (p = 0.012) and less dense (p = 0.046) than historical stroke control networks. Conclusions: 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.

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