The Impact of App-based Cognitive Training on Post-stroke Upper Extremity Rehabilitation

NCT ID: NCT05951530

Last Updated: 2023-07-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

38 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-05-10

Study Completion Date

2023-07-02

Brief Summary

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To find out the impact of app-based cognitive training on upper extremity function in patients with sub-acute stroke.

Detailed Description

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Conditions

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Stroke

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

DOUBLE

Participants Investigators

Study Groups

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Traditional physical therapy

This group will receive conventional upper extremity rehabilitation including active and active assisted ROMs and upper extremity stretches for 30 minutes, three to five times a week for 6 weeks.

Group Type ACTIVE_COMPARATOR

traditional physical therapy

Intervention Type OTHER

this group received conventional upper extremity active ROMs and stretches for 30 minutes three to five times a week for 6 weeks without using the app-based cognitive training.

The impact of app-based cognitive training

The experimental group received mobile-app-based cognitive training (PEAK) along with conventional upper extremity rehabilitation.

Group Type EXPERIMENTAL

mobile app-based cognitive training

Intervention Type OTHER

This group received mobile app-based cognitive training of 30minutes session three to five times a week for 6 weeks which includes a few activities such as the memory, coordination and alertness along with conventional UE exercises for 15 minutes three to five times a week for 6 weeks.

Interventions

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traditional physical therapy

this group received conventional upper extremity active ROMs and stretches for 30 minutes three to five times a week for 6 weeks without using the app-based cognitive training.

Intervention Type OTHER

mobile app-based cognitive training

This group received mobile app-based cognitive training of 30minutes session three to five times a week for 6 weeks which includes a few activities such as the memory, coordination and alertness along with conventional UE exercises for 15 minutes three to five times a week for 6 weeks.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients aged 45-70 years.
* Both male and female gender.
* Patients of sub-acute stroke patients with impaired upper extremity function
* Stroke patients suffering from mild to moderate cognitive impairment.
* Patients with the ability to fulfill and comprehend commands

Exclusion Criteria

* Patients of neurodegenerative diseases like Parkinson's, multiple sclerosis etc.
* Patients suffering from any severe psychological disorder.
* Patients with severe contracture due to orthopedic disease of the shoulder, elbow, and wrist joints
Minimum Eligible Age

45 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Riphah International University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Binash Afzal, PHD*

Role: PRINCIPAL_INVESTIGATOR

Riphah international university lahore campus

Locations

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sir Ganga Ram Hospital

Lahore, Punjab Province, Pakistan

Site Status

Countries

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Pakistan

References

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Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA, Barker-Collo S, Moran AE, Sacco RL, Truelsen T, Davis S, Pandian JD, Naghavi M, Forouzanfar MH, Nguyen G, Johnson CO, Vos T, Meretoja A, Murray CJ, Roth GA; GBD 2013 Writing Group; GBD 2013 Stroke Panel Experts Group. Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: The GBD 2013 Study. Neuroepidemiology. 2015;45(3):161-76. doi: 10.1159/000441085. Epub 2015 Oct 28.

Reference Type BACKGROUND
PMID: 26505981 (View on PubMed)

Kim YD, Jung YH, Saposnik G. Traditional Risk Factors for Stroke in East Asia. J Stroke. 2016 Sep;18(3):273-285. doi: 10.5853/jos.2016.00885. Epub 2016 Sep 30.

Reference Type BACKGROUND
PMID: 27733028 (View on PubMed)

Nomani AZ, Nabi S, Badshah M, Ahmed S. Review of acute ischaemic stroke in Pakistan: progress in management and future perspectives. Stroke Vasc Neurol. 2017 Feb 24;2(1):30-39. doi: 10.1136/svn-2016-000041. eCollection 2017 Mar.

Reference Type BACKGROUND
PMID: 28959488 (View on PubMed)

Langhorne P, Legg L. Evidence behind stroke rehabilitation. J Neurol Neurosurg Psychiatry. 2003 Dec;74 Suppl 4(Suppl 4):iv18-iv21. doi: 10.1136/jnnp.74.suppl_4.iv18. No abstract available.

Reference Type BACKGROUND
PMID: 14645462 (View on PubMed)

Levin MF, Kleim JA, Wolf SL. What do motor "recovery" and "compensation" mean in patients following stroke? Neurorehabil Neural Repair. 2009 May;23(4):313-9. doi: 10.1177/1545968308328727. Epub 2008 Dec 31.

Reference Type BACKGROUND
PMID: 19118128 (View on PubMed)

Engfeldt B, Hultenby K, Muller M. Ultrastructure of hyaline cartilage. I. A comparative study of cartilage from different species and locations, using cryofixation, freeze-substitution and low-temperature embedding techniques. Acta Pathol Microbiol Immunol Scand A. 1986 Sep;94(5):313-23.

Reference Type BACKGROUND
PMID: 3532690 (View on PubMed)

Tang EY, Amiesimaka O, Harrison SL, Green E, Price C, Robinson L, Siervo M, Stephan BC. Longitudinal Effect of Stroke on Cognition: A Systematic Review. J Am Heart Assoc. 2018 Jan 15;7(2):e006443. doi: 10.1161/JAHA.117.006443.

Reference Type BACKGROUND
PMID: 29335318 (View on PubMed)

Pinter D, Enzinger C, Gattringer T, Eppinger S, Niederkorn K, Horner S, Fandler S, Kneihsl M, Krenn K, Bachmaier G, Fazekas F. Prevalence and short-term changes of cognitive dysfunction in young ischaemic stroke patients. Eur J Neurol. 2019 May;26(5):727-732. doi: 10.1111/ene.13879. Epub 2019 Jan 9.

Reference Type BACKGROUND
PMID: 30489673 (View on PubMed)

McDonald MW, Black SE, Copland DA, Corbett D, Dijkhuizen RM, Farr TD, Jeffers MS, Kalaria RN, Karayanidis F, Leff AP, Nithianantharajah J, Pendlebury S, Quinn TJ, Clarkson AN, O'Sullivan MJ. Cognition in stroke rehabilitation and recovery research: Consensus-based core recommendations from the second Stroke Recovery and Rehabilitation Roundtable. Int J Stroke. 2019 Oct;14(8):774-782. doi: 10.1177/1747493019873600. Epub 2019 Sep 12.

Reference Type BACKGROUND
PMID: 31514685 (View on PubMed)

Wiley E, Khattab S, Tang A. Examining the effect of virtual reality therapy on cognition post-stroke: a systematic review and meta-analysis. Disabil Rehabil Assist Technol. 2022 Jan;17(1):50-60. doi: 10.1080/17483107.2020.1755376. Epub 2020 May 2.

Reference Type BACKGROUND
PMID: 32363955 (View on PubMed)

Fruhwirth V, Enzinger C, Fandler-Hofler S, Kneihsl M, Eppinger S, Ropele S, Schmidt R, Gattringer T, Pinter D. Baseline white matter hyperintensities affect the course of cognitive function after small vessel disease-related stroke: a prospective observational study. Eur J Neurol. 2021 Feb;28(2):401-410. doi: 10.1111/ene.14593. Epub 2020 Nov 12.

Reference Type BACKGROUND
PMID: 33065757 (View on PubMed)

Other Identifiers

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REC/RCR&AHS/23/0207

Identifier Type: -

Identifier Source: org_study_id

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