2022
DOI: 10.1136/bmjopen-2022-062042
|View full text |Cite
|
Sign up to set email alerts
|

What is the feasibility and patient acceptability of a digital system for arm and hand rehabilitation after stroke? A mixed-methods, single-arm feasibility study of the ‘OnTrack’ intervention for hospital and home use

Abstract: ObjectivesArm weakness is common after stroke; repetitive activity is critical for recovery but people struggle with knowing what to do, volume, and monitoring progress. We studied the feasibility and acceptability of OnTrack, a digital intervention supporting arm and hand rehabilitation in acute and home settings.DesignA mixed-method, single-arm study evaluating the feasibility of OnTrack for hospital and home use. An independent process evaluation assessed the intervention’s fidelity, dose and reach. Amendme… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(11 citation statements)
references
References 31 publications
0
10
0
Order By: Relevance
“…48 Two studies also used a smartphone app equipped with a machine learning algorithm and evaluated the effectiveness of a home-based rehabilitation system in chronic stroke survivors. 67,86 In the study authored by Fusari et al, 86 from baseline to 14 days, mean FMA-UE decreased from 37.7 to 36.4, VAS increased from 0.8 to 2.8 and EQ-5DL-5L increased from 0.462 to 0.606. While patients’ activity correlated significantly with their daily activity target ( R = 0.164), no significant correlation appeared with their weekly activity target ( R = −0.035).…”
Section: Resultsmentioning
confidence: 96%
See 3 more Smart Citations
“…48 Two studies also used a smartphone app equipped with a machine learning algorithm and evaluated the effectiveness of a home-based rehabilitation system in chronic stroke survivors. 67,86 In the study authored by Fusari et al, 86 from baseline to 14 days, mean FMA-UE decreased from 37.7 to 36.4, VAS increased from 0.8 to 2.8 and EQ-5DL-5L increased from 0.462 to 0.606. While patients’ activity correlated significantly with their daily activity target ( R = 0.164), no significant correlation appeared with their weekly activity target ( R = −0.035).…”
Section: Resultsmentioning
confidence: 96%
“…Twenty-two studies 12,14,20,21,24,25,30,34,37,48,50,51,60,61,67,7375,80,86,91,94 used a mobile technology or a mobile application as part of their intervention for home-based upper limb rehabilitation with stroke patients. Mobile technology had been used more frequently by stroke patients for information searching, and reminders in comparison to non-stroke participants.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Similar studies applying machine learning approaches to in-house activity and sleep data to monitor patients’ health have guided our sample size and monitoring period calculation 18 23 27 29. For detecting within-participant deviations, numbers of participants may be less important than the length of monitoring period for each participant.…”
Section: Methods and Analysismentioning
confidence: 99%