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Factors Associated With Adherence to Self-Managed Aphasia Therapy Practice on a Computer-A Mixed Methods Study
Madeleine Harrison1, Rebecca Palmer2, Cindy Cooper3
1Division of Nursing and Midwifery, Health Sciences School, University of Sheffield, Sheffield, United Kingdom.
Frontiers in Neurology
|December 17, 2020
Summary
Patients with aphasia practiced computer therapy more when they had longer access to the system and more support from speech and language therapists. Increased time post-stroke also correlated with higher adherence to this tele-rehabilitation method.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Health Informatics
Background:
- Aphasia, a communication disorder post-stroke, can be managed through asynchronous tele-rehabilitation using specialist computer software.
- Self-managed aphasia computer therapy offers increased opportunities for practicing rehabilitation exercises at home.
Purpose of the Study:
- To explore factors associated with adherence to self-managed aphasia computer therapy practice.
- To investigate demographic, clinical, and intervention variables linked to therapy adherence.
- To understand patient and carer perceptions of engagement in tele-rehabilitation.
Main Methods:
- Mixed-methods approach combining quantitative analysis of adherence data and qualitative thematic analysis of interviews.
- Secondary analysis of data from 85 participants in the Big CACTUS randomized controlled trial (computer therapy group).
- Qualitative interviews with 11 patients and 12 informal carers.
Main Results:
- Longer time post-stroke was associated with higher adherence to computer therapy.
- Greater access to computer therapy and more therapist support correlated with increased adherence.
- Key engagement factors included capability, opportunity (external/technological), and motivation (beliefs, emotions, habit).
Conclusions:
- Adherence to self-managed aphasia computer therapy is influenced by clinical, intervention, and personal factors.
- Speech and language therapist support is crucial for optimizing practice engagement.
- Clinicians should consider patient suitability and support needs for tele-rehabilitation.
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