Including Experiential Information in Stroke Telerehabilitation
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Date
2023-01-01
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Department
Information Systems
Program
Information Systems
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Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.
Abstract
Overcoming stroke-related disability challenges, and regaining mobility, are closely tied to a stroke survivor?s adherence to a rehabilitation care plan. Yet, the burden of attaining and maintaining regular rehabilitation is a significant barrier for stroke survivors. More specifically, one burden is the lack of specialized equipment for home rehabilitation. Another burden is stroke survivors? lack of access to specialized rehabilitation locations, which puts high-level care outside the reach of many, including those in rural and low-resource communities. Thus, designing and developing rehabilitation service systems that leverage technologies to facilitate the communication of information between a patient and their clinician at a distance (i.e., telerehabilitation) have become a solution to increase access and longevity to rehabilitation, while potentially reducing overall long-term cost and travel burden of stroke survivors. However, the type of information that needs to be communicated, and their design implications, are not well defined. This dissertation aims to identify and define the design needs for future stroke telerehabilitation systems, and investigate the integration of information about stroke survivors? lived experience (i.e., experiential information) into stroke telerehabilitation. The completed investigation consisted of a qualitative field study that closely examined the facilitation and execution of in-person and remote stroke rehabilitation by Physical Medicine & Rehabilitation clinicians without, and then with, the integration of experiential information. The primary contribution of this dissertation is computing design guidance for future stroke telerehabilitation systems regarding telerehabilitation temporality and the information needs of stroke telerehabilitation. This dissertation specifically contributes to the health and collaborative technology communities within Human-Computer Interaction, and more broadly, the interdisciplinary healthcare technology community consisting of medical clinicians and computing researchers/designers/developers.