ArticleJMIR human factors2021
Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study.
Article in JMIR human factors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04363944 (A Functional Upper Limb Training and Assessment Tool to Enhance Efficacy and Scalability of Rehabilitation in Ecological Environments), which is not on this map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Functional Upper Limb Training and Assessment Tool to Enhance Efficacy and Scalability of Rehabilitation in Ecological Environments
Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- The stroke transitional care intervention for older adults with stroke and multimorbidity: a multisite pragmatic randomized controlled trial.BMC geriatrics · 2023Trial
- 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
- Safe Patient Handling Musculoskeletal Injury-Prevention Smartphone App for Community Health Care Workers: Mixed Methods Feasibility Study.JMIR formative research · 2025Article
- Evaluating the Usability of Inertial Measurement Units for Measuring and Monitoring Activity Post-Stroke: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Smartphone IMU Sensors for Human Identification through Hip Joint Angle Analysis.Sensors (Basel, Switzerland) · 2024Article
- Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke: Scoping Review.Journal of medical Internet research · 2024Article
- The use of home-based digital technology to support post-stroke upper limb rehabilitation: A scoping review.Clinical rehabilitation · 2024Article
- Mixed methods usability evaluation of an assistive wearable robotic hand orthosis for people with spinal cord injury.Journal of neuroengineering and rehabilitation · 2023Article
- Engaging in a home-based exercise program: a mixed-methods approach to identify motivators and barriers for individuals with stroke.Assistive technology : the official journal of RESNA · 2023Article
- Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study.JMIR rehabilitation and assistive technologies · 2023Article
- Impacts on Context Aware Systems in Evidence-Based Health Informatics: A Review.Healthcare (Basel, Switzerland) · 2022Review
- Development and Usability of a Text Messaging Program for Women With Gestational Diabetes: Mixed Methods Study.JMIR human factors · 2022Article
- Competencies required by patients and health professionals regarding telerehabilitation: A scoping review.Digital healthArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSmart technology use in rehabilitation is growing and can be used remotely to assist clients in self-monitoring their performance. With written home exercise programs being the commonly prescribed form of rehabilitation after discharge, mobile health technology coupled with task-oriented programs can enhance self-management of upper extremity training. In the current study, a rehabilitation system, namely mRehab, was designed that included a smartphone app and 3D-printed household items such as mug, bowl, key, and doorknob embedded with a smartphone. The app interface allowed the user to select rehabilitation activities and receive feedback on the number of activity repetitions completed, time to complete each activity, and quality of movement.
objectiveThis study aimed to assess the usability, perceived usefulness, and acceptance of the mRehab system by individuals with stroke and identify the challenges experienced by them when using the system remotely in a home-based setting.
methodsA mixed-methods approach was used with 11 individuals with chronic stroke. Following training, individuals with stroke used the mRehab system for 6 weeks at home. Each participant completed surveys and engaged in a semistructured interview. Participants' qualitative reports regarding the usability of mRehab were integrated with their survey reports and quantitative performance data.
resultsOf the 11 participants, 10 rated the mRehab system between the 67.5th and 97.5th percentile on the System Usability Scale, indicating their satisfaction with the usability of the system. Participants also provided high ratings of perceived usefulness (mean 5.8, SD 0.9) and perceived ease of use (mean 5.3, SD 1.5) on a 7-point scale based on the Technology Acceptance Model. Common themes reported by participants showed a positive response to mRehab with some suggestions for improvements. Participants reported an interest in activities they perceived to be adequately challenging. Some participants indicated a need for customizing the feedback to be more interpretable. Overall, most participants indicated that they would like to continue using the mRehab system at home.
conclusionsAssessing usability in the lived environment over a prolonged duration of time is essential to identify the match between the system and users' needs and preferences. While mRehab was well accepted, further customization is desired for a better fit with the end users.
trial registrationClinicalTrials.gov NCT04363944; https://clinicaltrials.gov/ct2/show/NCT04363944.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.