Evidence map›Paper›PMID 33749608›Full record

ArticleJMIR human factors2021

Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study.

Sutanuka Bhattacharjya, Lora Anne Cavuoto, Brandon Reilly, Wenyao Xu, Heamchand Subryan, Jeanne Langan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT04363944 nacompletednot on this map

A Functional Upper Limb Training and Assessment Tool to Enhance Efficacy and Scalability of Rehabilitation in Ecological Environments

TypeinterventionalSponsorState University of New York at BuffaloRan2018 to 2019Enrolled19ConditionsStrokeArmsmRehab
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sutanuka BhattacharjyaDepartment of Occupational Therapy, Byrdine F Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-1534-9961
Lora Anne CavuotoRehabilitation Science, University at Buffalo, Buffalo, NY, United States.ORCID https://orcid.org/0000-0003-4717-8378
Brandon ReillyRehabilitation Science, University at Buffalo, Buffalo, NY, United States.ORCID https://orcid.org/0000-0002-5763-1247
Wenyao XuRehabilitation Science, University at Buffalo, Buffalo, NY, United States.ORCID https://orcid.org/0000-0001-6444-9411
Heamchand SubryanRehabilitation Science, University at Buffalo, Buffalo, NY, United States.ORCID https://orcid.org/0000-0001-9547-0619
Jeanne LanganRehabilitation Science, University at Buffalo, Buffalo, NY, United States.ORCID https://orcid.org/0000-0003-1417-2180
University at Buffalo, State University of New York · USGeorgia State University · US

Funding

A Functional Upper Limb Training and Assessment Tool to Enhance Efficacy and Scalability of Rehabilitation in Ecological EnvironmentsR21HD092243 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI LANGAN, JEANNE, XU, WENYAO · 2017 to 2018
$425k
NICHD NIH HHS R21 HD092243
6 · The paper itself

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.

Indexed as

3-dimensional printingrehabilitationsmart technologystrokeusability

Identifiers

PMID33749608
PMCPMC8080267
OpenAlexW3129941111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.