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Protocol for a remote home-based upper extremity self-training program for community-dwelling individuals after stroke

BACKGROUND: Half of all stroke survivors experience hemiparesis on the contralateral side, resulting in chronic upper extremity (UE) impairment. Remote rehabilitation is a promising approach to optimize the gains made in the clinic to maximize function and promote UE use at home. This paper describe...

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Detalles Bibliográficos
Autores principales: Kim, Grace J., Gahlot, Amanda, Magsombol, Camille, Waskiewicz, Margaret, Capasso, Nettie, Van Lew, Steve, Goverover, Yael, Dickson, Victoria V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126840/
https://www.ncbi.nlm.nih.gov/pubmed/37113325
http://dx.doi.org/10.1016/j.conctc.2023.101112
Descripción
Sumario:BACKGROUND: Half of all stroke survivors experience hemiparesis on the contralateral side, resulting in chronic upper extremity (UE) impairment. Remote rehabilitation is a promising approach to optimize the gains made in the clinic to maximize function and promote UE use at home. This paper describes the study protocol for a remote home-based UE self-training program. DESIGN: This was a feasibility study that used a convergent mixed methods approach. METHODS: We collected data on 15 community-dwelling individuals with UE hemiparesis after stroke. The study used motivational interviewing (MI) and ecological momentary assessments (EMA) to maximize engagement in a 4-week personalized UE self-training program. The study consisted of three phases: 1) training in MI for the interventionists 2) creating customized treatment plans using shared decision making, and 3) four weeks of UE self-training. MEASURES AND ANALYSIS: To evaluate feasibility, we will summarize recruitment and retention rates, intervention delivery, acceptance, adherence, and safety. Quantitative UE outcomes will measure change in UE status after the intervention (Fugl-Meyer Assessment, Motor Activity Log, Canadian Occupational Performance Measure, and bilateral magnitude ratio). Qualitative data (1:1 semi-structured interviews) will capture participants’ perceptions and experience with the intervention. Quantitative and qualitative data will be integrated to gain a deeper understanding of the facilitators and barriers for engagement and adherence to UE self-training. CONCLUSION: The results of this study will advance the scientific knowledge for use of MI and EMA as methods for enhancing adherence and engagement in UE self-training in stroke rehabilitation. The ultimate impact of this research will be to improve UE recovery for individuals with stroke transitioning back into community. CLINICAL TRIALS REGISTRATION: NCT05032638.