ORIGINAL PAPER
Efficacy of tele-rehabilitation intervention on hand, cognitive functions and depression in hemiparetic patients
 
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1
Department of Physical Therapy for Neurology and Neurosurgery, Faculty of Physical Therapy, Cairo University, Egypt
 
2
Department of Physical Therapy, Mohammed Al-Mana College for Medical Sciences, Dammam, Saudi Arabia
 
3
Department of Physical Therapy for Neurology and its Surgery, Faculty of Physical Therapy, Al Ryada University for Science and Technology, Sadat, Menoufia, Egypt
 
4
Department of Biomechanics, Faculty of Physical Therapy, Cairo University, Giza, Egypt
 
5
Department of Neurology, Faculty of Medicine, Egypt
 
6
Department of Orthopedics and its Surgery, Faculty of Physical Therapy, Misr University for Science and Technology, Giza, Egypt
 
7
Department of Physical Therapy and Health Rehabilitation, CAMS, Jouf University, Jouf, Saudi Arabia
 
 
Submission date: 2025-06-29
 
 
Acceptance date: 2025-10-14
 
 
Online publication date: 2026-06-09
 
 
Corresponding author
Ahmed Magdy Alshimy   

Department of Physical Therapy, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia
 
 
 
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Information and communication technologies (ICT) are used in tele-rehabilitation to deliver rehabilitation treatments to patients in their homes or other locations. The aim of this research is to determine how tele-rehabilitation intervention affects hemiparetic patients’ cognitive, hand functions, and depression.

Methods:
Thirty hemiparetic patients of both sexes with mild hand dysfunction participated in a randomised controlled double-blinded study design (age was 45–55-year-old); 15 patients in the control group (GB) received a selected hand rehabilitation program, whereas 15 patients in the experimental group (GA) received a tele-rehabilitation intervention. The 9HPT (nine-hole peg test), FMUE (Fugl-Meyer upper extremity), MOCA (Montreal cognitive assessment scale), REHACOM system, and the BECK Depression Inventory Questionnaire were used to evaluate the patients in both groups before and after the treatment program began.

Results:
According to the current study, there was no significant difference between experimental group A and control group B in terms of the 9HPT; however, there was a statistically significant difference in favour of the GA receiving tele-rehabilitation in terms of the FMUE, MOCA, REHACOM system, and Beck Depression Inventory questionnaire.

Conclusions:
Based on the available information, tele-rehabilitation is a useful treatment for hemiparetic patients who have mild hand function impairments and enhance cognition and psychological well-being status.
REFERENCES (28)
1.
Feigin VL, Brainin M, Norrving B, Martins SO, Pandian J, Lindsay P, Grupper MF, Rautalin I. World Stroke Organization: Global Stroke Fact Sheet. Int J Stroke. 2025;20(2):132–44; doi: 10.1177/17474930241308142.
 
2.
Knutson JS, Harley MY, Hisel TZ, Chae J. Improving hand function in stroke survivors: a pilot study of contralaterally controlled functional electric stimulation in chronic hemiplegia. Arch Phys Med Rehabil. 2007;88(4):513–20; doi: 10.1016/j.apmr.2007.01.003.
 
3.
Mawase F, Cherry-Allen K, Xu J, Anaya M, Uehara S, Celnik P. Pushing the rehabilitation boundaries: hand motor impairment can be reduced in chronic stroke. Neurorehabil Neural Repair. 2020;34(8):733–45; doi: 10.1177/1545968320939563.
 
4.
Mahmoud LS, Gomaa MA, Alshimy AM. Effect of cognitive training on sleeping disorders in Stroke: a randomized controlled trial. Am J Phys Med Rehabil. 2025:104(12):1100–4; doi: 10.1097/PHM.0000000000002755.
 
5.
Özden F, Özkeskin M, Ak SM. Physical exercise intervention via telerehabilitation in patients with neurological disorders: a narrative literature review. Egypt J Neurol Psychiatry Neurosurg. 2022;58:26; doi: 10.1186/s41983-022-00461-1.
 
6.
Craig J, Patterson V. Introduction to the practice of telemedicine. J Telemed Telecare. 2005;11(1):3–9; doi: 10.1258/1357633053430494.
 
7.
Brennan DM, Mawson S, Brownsell S. Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self-management. Stud Health Technol Inform. 2009;145:231–48; doi: 10.3233/978-1-60750-018-6-231.
 
8.
Wootton R. Twenty years of telemedicine in chronic disease management – an evidence synthesis. J Telemed Telecare. 2012;18(4):211–20; doi: 10.1258/jtt.2012.120219.
 
9.
De Souza Miguel GF, de Sá AA, de Souza JT, Naves EL. Home-based telerehabilitation: a review of remote therapy frameworks. Res Soc Dev. 2021;10(6):e4910615489; doi: 10.33448/rsd-v10i6.15489.
 
10.
Pascual-Leone A, Valls-Solé J, Wassermann EM, Hallett M. Responses to rapid-rate transcranial magnetic stimulation of the human motor cortex. Brain. 1994;117(Pt 4):847–58; doi: 10.1093/brain/117.4.847.
 
11.
Sommerfeld DK, Eek EU-B, Svensson A-K, Holmqvist LW, von Arbin MH. Spasticity after stroke: its occurrence and association with motor impairments and activity limitations. Stroke. 2004;35(1):134–9; doi: 10.1161/01.STR.0000105386.05173.5E.
 
12.
Earhart GM, Cavanaugh JT, Ellis T, Ford MP, Foreman KB, Dibble L. The 9-hole PEG test of upper extremity function: average values, test-retest reliability, and factors contributing to performance in people with Parkinson disease. J Neurol Phys Ther. 2011;35(4):157–63; doi: 10.1097/NPT.0b013e318235da08.
 
13.
Jacob-Lloyd HA, Dunn OM, Brain ND, Lamb SE. Effective measurement of the functional progress of stroke clients. Br J Occup Ther. 2005;68(6):253–59; doi: 10.1177/030802260506800603.
 
14.
Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med. 1975;7(1):13–31.
 
15.
Bushnell C, Bettger JP, Cockroft KM, Cramer SC, Edelen MO, Hanley D, Katzan IL, Mattke S, Nilsen DM, Piquado T, Skidmore ER, Wing K, Yenokyan G. Chronic stroke outcome measures for motor function intervention trials: expert panel recommendations. Circ Cardiovasc Qual Outcomes. 2015;8(6 Suppl 3):163–9; doi: 10.1161/CIRCOUTCOMES.115.002098.
 
16.
Hsieh Y-W, Wu C-Y, Lin K-C, Chang Y-F, Chen C-L, Liu J-S. Responsiveness and validity of three outcome measures of motor function after stroke rehabilitation. Stroke. 2009;40(4):1386–91; doi: 10.1161/STROKEAHA.108.530584.
 
17.
Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9; doi: 10.1111/j.1532-5415.2005.53221.x.
 
18.
Dautzenberg G, Lijmer J, Beekman A. Diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) for cognitive screening in old age psychiatry: determining cutoff scores in clinical practice. Avoiding spectrum bias caused by healthy controls. Int J Geriatr Psychiatry. 2020;35(3):261–69; doi: 10.1002/gps.5227.
 
19.
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–71; doi:10.1001/archpsyc.1961.01710120031004.
 
20.
Wang YP, Gorenstein C. Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Braz J Psychiatry. 2013;35(4):416–31; doi: 10.1590/1516-4446-2012-1048.
 
21.
Lee E-H, Lee SJ, Hwang S-T, Hong S-H, Kim J-H. Reliability and validity of the Beck Depression Inventory-II among Korean adolescents. Psychiatry Investig. 2017;14(1):30–6; doi:10.4306/pi.2017.14.1.30.
 
22.
Toenders YJ, Schmaal L, Harrison BJ, Dinga R, Berk M, Davey CG. Neurovegetative symptom subtypes in young people with major depressive disorder and their structural brain correlates. Transl Psychiatry. 2020;10(1):108; doi:10.1038/s41398-020-0787-9.
 
23.
Suero-Pineda A, Oliva-Pascual-Vaca Á, Durán MR, Sán­chez-Laulhé PR, García-Frasquet MÁ, Blanquero J. Effectiveness of a telerehabilitation evidence-based tablet app for rehabilitation in traumatic bone and soft tissue injuries of the hand, wrist, and fingers. Arch Phys Med Rehabil. 2023;104(6):932–41; doi: 10.1016/j.apmr.2023.01.016.
 
24.
Moulaei K, Sheikhtaheri A, Nezhad MS, Haghdoost A, Gheysari M, Bahaadinbeigy K. Telerehabilitation for upper limb disabilities: a scoping review on functions, outcomes, and evaluation methods. Arch Public Health. 2022;80:196; doi: 10.1186/s13690-022-00952-w.
 
25.
Hüzmeli ED, Duman T, Yıldırım H. Efficacy of telerehabilitation in patients with stroke in Turkey: a pilot study. Turk J Neurol 2017; 23(1):21–5; doi: 10.4274/tnd.37268.
 
26.
Peretti A, Amenta F, Tayebati SK, Nittari G, Mahdi SS. Telerehabilitation: review of the state-of-the-art and areas of application. JMIR Rehabil Assist Technol. 2017;4(2):e7; doi: 10.2196/rehab.7511.
 
27.
Lin Y, Tsang R, Hu J, Zhao N, Zhu X, Li J, Qian J. Effects of online exercise intervention on physical and mental conditions in young adults with chronic neck pain. iScience. 2023;26(12):108543; doi: 10.1016/j.isci.2023.108543.
 
28.
Pérez Medina JL, Acosta-Vargas P, Rybarczyk Y. A Systematic Review of Usability and Accessibility in Tele-rehabilitation Systems. In: Rybarczyk YP (ed.) Assistive and Rehabilitation Engineering. London: IntechOpen; 2019, doi: 10.5772/intechopen.85869.
 
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