ArticleJMIR rehabilitation and assistive technologies2023
Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study.
Article in JMIR rehabilitation and assistive technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Feasibility and safety of multi-field functional electrical stimulation for distal upper-limb rehabilitation after subacute stroke: a randomised controlled feasibility trial.Frontiers in rehabilitation sciences · 2026Trial
- Self-directed and caregiver-assisted technology-based interventions in inpatient stroke rehabilitation: A scoping review.Clinical rehabilitation · 2026Article
- Clinical Application of Wearable Devices in Stroke Rehabilitation: A Scoping Review of Safety, Feasibility, and Adherence.Healthcare (Basel, Switzerland) · 2026Review
- Low-cost Devices for Stroke Rehabilitation: A Review of Approaches, Designs, and Evidence.Restorative neurology and neuroscience · 2026Review
- Exploring Usability and User Engagement in Fully Immersive Virtual Reality Systems for Upper Limb Stroke Rehabilitation: A Scoping Review.Progress in rehabilitation medicine · 2026Review
- Towards person-centered pain management in dementia: usability of a digital medical device in Portuguese residential care facilities.Frontiers in health services · 2026Article
- User Needs for an Artificial Intelligence-Empowered Basic Activities of Daily Living Training System After Stroke: A Qualitative Study.Journal of multidisciplinary healthcare · 2026Article
- Tools and methods for assessing the usability and related aspects of usability of extended reality and telerehabilitation technologies in stroke rehabilitation: a scoping review.Journal of neuroengineering and rehabilitation · 2025Review
- Effects of Technology-Assisted Rehabilitation After Spinal Cord Injury: Pilot Randomized Controlled Crossover Trial.JMIR rehabilitation and assistive technologies · 2025Article
- Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study.JMIR serious games · 2025Article
- Professionals' Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study.JMIR rehabilitation and assistive technologies · 2024Article
- Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach.JMIR biomedical engineering · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundUpper limb (UL) recovery after stroke is strongly dependent upon rehabilitation dose. Rehabilitation technologies present pragmatic solutions to dose enhancement, complementing therapeutic activity within conventional rehabilitation, connecting clinicians with patients remotely, and empowering patients to drive their own recovery. To date, rehabilitation technologies have been poorly adopted. Understanding the barriers to adoption may shape strategies to enhance technology use and therefore increase rehabilitation dose, thus optimizing recovery potential.
objectiveWe examined the usability, acceptability, and adoption of a self-directed, exercise-gaming technology within a heterogeneous stroke survivor cohort and investigated how stroke survivor characteristics, technology usability, and attitudes toward technology influenced adoption.
methodsA feasibility study of a novel exercise-gaming technology for self-directed UL rehabilitation in early subacute stroke survivors (N=30) was conducted in an inpatient, acute hospital setting. Demographic and clinical characteristics were recorded; participants' performance in using the system (usability) was assessed using a 4-point performance rating scale (adapted from the Barthel index), and adherence with the system was electronically logged throughout the trial. The technology acceptance model was used to formulate a survey examining the acceptability of the system. Spearman rank correlations were used to examine associations between participant characteristics, user performance (usability), end-point technology acceptance, and intervention adherence (adoption).
resultsThe technology was usable for 87% (n=26) of participants, and the overall technology acceptance rating was 68% (95% CI 56%-79%). Participants trained with the device for a median of 26 (IQR 16-31) minutes daily over an enrollment period of 8 (IQR 5-14) days. Technology adoption positively correlated with user performance (usability) (ρ=0.55; 95% CI 0.23-0.75; P=.007) and acceptability as well as domains of perceived usefulness (ρ=0.42; 95% CI 0.09-0.68; P=.03) and perceived ease of use (ρ=0.46; 95% CI 0.10-0.74; P=.02). Technology acceptance decreased with increased global stroke severity (ρ=-0.56; 95% CI -0.79 to -0.22; P=.007).
conclusionsThis technology was usable and acceptable for the majority of the cohort, who achieved an intervention dose with technology-facilitated, self-directed UL training that exceeded conventional care norms. Technology usability and acceptability were determinants of adoption and appear to be mediated by stroke severity. The results demonstrate the importance of selecting technologies for stroke survivors on the basis of individual needs and abilities, as well as optimizing the accessibility of technologies for the target user group. Facilitating changes in stroke survivors' beliefs and attitudes toward rehabilitation technologies may enhance adoption. Further work is needed to understand how technology can be optimized to benefit those with more severe stroke.
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