Home-based virtual reality for upper limb stroke rehabilitation: supervised vs. unsupervised approaches – a systematic review with meta-analysis of unsupervised interventions
Abstract
Purpose To evaluate the effectiveness of home-based virtual reality (VR) for upper limb recovery in stroke survivors, specifically distinguishing between supervised and unsupervised approaches.Materials and Methods We searched PubMed, Scopus, and Web of Science for randomized controlled trials (RCTs). Risk of bias was assessed using RoB 2, and certainty of evidence via GRADE. A narrative synthesis included all eligible studies (n = 7), while a meta-analysis focused on a homogeneous subgroup (n = 2) comparing unsupervised home-based VR to unsupervised active controls.Results Seven RCTs (n = 414) were reviewed. The meta-analysis of unsupervised trials (n = 291) showed no significant difference between home-based VR and active control groups (SMD = −0.06; 95% CI: −0.29 to 0.17; p = 0.62; I2 = 0%). Conversely, narrative synthesis indicated that interventions incorporating active remote supervision consistently yielded positive outcomes. The overall certainty of evidence was “Very Low.”Conclusions Unsupervised home-based VR does not appear superior to conventional home exercise. though it serves as a comparable alternative when direct supervision is limited. However, interventions involving therapist supervision show promise. The “human factor” of supervision may be more critical than the technology itself, highlighting the need for future trials to clearly define supervision levels.
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Cites
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283 · see citing works
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
RoB 2: a revised tool for assessing risk of bias in randomised trials
Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., et al. (2019) · BMJ · doi:10.1136/bmj.l4898 · Cited by 33,583 · see citing works
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305 · see citing works
Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & the PRISMA-P Group (2015) · BMJ · doi:10.1136/bmj.g7647 · Cited by 13,120 · see citing works
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695 · see citing works
Feigin, V. L., Abate, M. D., Abate, Y. H., ElHafeez, S. A., Abd-Allah, F., Abdelalim, A., Abdelkader, A. F. I., Abdelmasseh, M., Abd-Elsalam, S. M., Abdi, P., et al. (2024) · The Lancet Neurology · doi:10.1016/s1474-4422(24)00369-7 · Cited by 2,060 · see citing works
Probability of Regaining Dexterity in the Flaccid Upper Limb
Kwakkel, G., Kollen, B. J., van der Grond, J., & Prevo, A. J. H. (2003) · Stroke · doi:10.1161/01.str.0000087172.16305.cd · Cited by 1,409 · see citing works
Bernhardt, J. A., Hayward, K. S., Kwakkel, G., Ward, N., Wolf, S. L., Borschmann, K., Krakauer, J. W., Boyd, L. A., Carmichael, S. T., Corbett, D., et al. (2017) · International Journal of Stroke · doi:10.1177/1747493017711816 · Cited by 1,242 · see citing works
Estimates of the Prevalence of Acute Stroke Impairments and Disability in a Multiethnic Population
Lawrence, E., Coshall, C., Dundas, R., Stewart, J. A., Rudd, A. G., Howard, R., & Wolfe, C. D. A. (2001) · Stroke · doi:10.1161/01.str.32.6.1279 · Cited by 943 · see citing works
Virtual reality for stroke rehabilitation
Laver, K. E., Lange, B., George, S., Deutsch, J. E., Saposnik, G., & Crotty, M. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008349.pub4 · Cited by 800 · see citing works
Factors Influencing Stroke Survivors’ Quality of Life During Subacute Recovery
Nichols‐Larsen, D. S., Clark, P. C., Zeringue, A., Greenspan, A. I., & Blanton, S. (2005) · Stroke · doi:10.1161/01.str.0000170706.13595.4f · Cited by 681 · see citing works
Is More Better? Using Metadata to Explore Dose–Response Relationships in Stroke Rehabilitation
Lohse, K. R., Lang, C. E., & Boyd, L. A. (2014) · Stroke · doi:10.1161/strokeaha.114.004695 · Cited by 638 · see citing works
Maier, M., Ballester, B. R., & Verschure, P. F. M. J. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00074 · Cited by 528 · see citing works
Virtual Reality–Induced Cortical Reorganization and Associated Locomotor Recovery in Chronic Stroke
You, S. H., Jang, S. H., Kim, Y., Hallett, M., Ahn, S. H., Kwon, Y.-H., Kim, J. H., & Lee, M. Y. (2005) · Stroke · doi:10.1161/01.str.0000162715.43417.91 · Cited by 420 · see citing works
Predictors of upper limb recovery after stroke: a systematic review and meta-analysis
Coupar, F., Pollock, A., Rowe, P. J., Weir, C. J., & Langhorne, P. (2011) · Clinical Rehabilitation · doi:10.1177/0269215511420305 · Cited by 411 · see citing works
Saposnik, G., Cohen, L. G., Mamdani, M., Pooyania, S., Ploughman, M., Cheung, D., Shaw, J., Hall, J., Nord, P., Dukelow, S. P., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30121-1 · Cited by 411 · see citing works
Predictors of adherence to home-based physical therapies: A systematic review
Essery, R., Geraghty, A. W. A., Kirby, S., & Yardley, L. (2017) · Disability and Rehabilitation · doi:10.3109/09638288.2016.1153160 · Cited by 391 · see citing works
Home-based technologies for stroke rehabilitation: A systematic review
Chen, Y., Abel, K. T., Janecek, J. T., Chen, Y., Zheng, K., & Cramer, S. C. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.12.001 · Cited by 328 · see citing works
Boutron, I., Tubach, F., Giraudeau, B., & Ravaud, P. (2004) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2003.12.010 · Cited by 300 · see citing works
Exercises for paretic upper limb after stroke: A combined virtual-reality and telemedicine approach
Piron, L., Turolla, A., Agostini, M., Zucconi, C. S., Cortese, F., Zampolini, M., Zannini, M., Dam, M., Ventura, L., Battauz, M., et al. (2009) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-0459 · Cited by 280 · see citing works
Telerehabilitation for Stroke Survivors: Systematic Review and Meta-Analysis
Tchero, H., Tabué-Teguo, M., Lannuzel, A., & Rüsch, E. (2018) · Journal of Medical Internet Research · doi:10.2196/10867 · Cited by 278 · see citing works
Chen, J., Or, C. K., & Chen, T. (2022) · Journal of Medical Internet Research · doi:10.2196/24111 · Cited by 261 · see citing works
Faria‐Fortini, I., Michaelsen, S. M., Cassiano, J. G., & Teixeira‐Salmela, L. F. (2011) · Journal of Hand Therapy · doi:10.1016/j.jht.2011.01.002 · Cited by 248 · see citing works
Maier, M., Rubio Ballester, B., Duff, A., Duarte Oller, E., & Verschure, P. F. M. J. (2019) · Neurorehabilitation and Neural Repair · doi:10.1177/1545968318820169 · Cited by 239 · see citing works
Economic Burden of Stroke Disease: A Systematic Review
Rochmah, T. N., Rahmawati, I. T., Dahlui, M., Budiarto, W., & Bilqis, N. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147552 · Cited by 228 · see citing works
Kwakkel, G., Lannin, N. A., Borschmann, K., English, C., Ali, M., Churilov, L. P., Saposnik, G., Winstein, C. J., van Wegen, E. E. H., Wolf, S. L., et al. (2017) · Neurorehabilitation and neural repair · doi:10.1177/1545968317732662 · Cited by 213 · see citing works
A Home-Based Telerehabilitation Program for Patients With Stroke
Dodakian, L., McKenzie, A. L., Le, V., See, J., Pearson‐Fuhrhop, K. M., Quinlan, E. B., Zhou, R. J., Augsberger, R., Tran, X. A., Friedman, N., et al. (2017) · Neurorehabilitation and neural repair · doi:10.1177/1545968317733818 · Cited by 177 · see citing works
Adie, K., Schofield, C., Berrow, M., Wingham, J., Humfryes, J., Pritchard, C. W., James, M. A., & Allison, R. (2016) · Clinical Rehabilitation · doi:10.1177/0269215516637893 · Cited by 156 · see citing works
Virtual Reality Training for Upper Extremity in Subacute Stroke (VIRTUES)
Brunner, I. C., Skouen, J. S., Hofstad, H., Aßmus, J., Becker, F., Sanders, A., Pallesen, H., Kristensen, L. Q., Michielsen, M., Thijs, L., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004744 · Cited by 154 · see citing works
Stroke Rehabilitation in Low- and Middle-Income Countries
Kayola, G., Mataa, M., Asukile, M. T., Chishimba, L., Chomba, M., Mortel, D., Nutakki, A., Zimba, S., & Saylor, D. R. (2023) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000002128 · Cited by 143 · see citing works
Standen, P., Threapleton, K., Richardson, A., Connell, L., Brown, D. J., Battersby, S., Platts, F., & Burton, A. M. (2016) · Clinical Rehabilitation · doi:10.1177/0269215516640320 · Cited by 125 · see citing works
Yang, Y. R., Kimura‐Ohba, S., Thompson, J. F., Salayandia, V. M., Cossé, M., Raz, L., Jalal, F. Y., & Rosenberg, G. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.02.012 · Cited by 97 · see citing works
Thielbar, K. O., Triandafilou, K. M., Barry, A. J., Yuan, N., Nishimoto, A., Johnson, J., Stoykov, M. E., Tsoupikova, D., & Kamper, D. G. (2019) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2019.10.182 · Cited by 71 · see citing works
Motivational Strategies for Stroke Rehabilitation: A Descriptive Cross-Sectional Study
Oyake, K., Suzuki, M., Otaka, Y., & Tanaka, S. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00553 · Cited by 66 · see citing works
Hao, J., Pu, Y., Chen, Z., & Siu, K. (2022) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2022.106960 · Cited by 65 · see citing works
Hernández, A., Bubyr, L., Archambault, P. S., Higgins, J., Levin, M. F., & Kairy, D. (2022) · JMIR Serious Games · doi:10.2196/37506 · Cited by 47 · see citing works
Ase, H., Honaga, K., Tani, M., Takakura, T., Wada, F., Murakami, Y., Isayama, R., Tanuma, A., & Fujiwara, T. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01564-5 · Cited by 36 · see citing works
Li, Y.-C., Liao, W.-W., Hsieh, Y., Lin, K., & Chen, C. (2019) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2019.08.483 · Cited by 23 · see citing works
Gelineau, A., Perrochon, A., Robin, L., Daviet, J., & Mandigout, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19159112 · Cited by 20 · see citing works
Fluet, G. G., Qiu, Q., Gross, A., Gorin, H., Patel, J. K., Merians, A. S., & Adamovich, S. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-024-01441-7 · Cited by 15 · see citing works
Effect of Virtual Reality on Neural Recovery in Patients with Stroke: A Systematic Review
Hefny, A., Ahmed, G. M., Mansour, W., Ibrahim, A. K., & Elsherif, A. M. (2023) · NILES Journal forGeriatric and Gerontology/NILES Journal for Geriatric and Gerontology · doi:10.21608/niles.2023.212022.1076 · Cited by 1 · see citing works
Kleim (n.d.) · doi:10.1044/1092-4388(2008/018
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Research works printed but not linked: 6
- 10.1007/s40273-018-0715-4 · DOI
- The Cochrane Collaboration. Review Manager (RevMan) [Computer program]. Version 5.4. The Cochrane Collaboration; 2020.
- Llorens RN, Colomer E, Carolina Alcañiz M. Effectiveness of a home-based telerehabilitation program for the upper extremity in patients with chronic stroke: a randomized controlled trial. Neurorehabil Neural Repair. 2015;29(7):612–621.
- 10.1109/RBME.2017.2697241 · DOI
- 10.1017/S026646231200008X · DOI
- 10.1177/1545968317732663 · DOI
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- Authors
- Karimi, M., & Aminzadeh, M.
- Affiliations
- Ahvaz Jundishapur University of Medical Sciences (IR)
- Urmia University of Medical Sciences (IR)
- Corresponding author
- Karimi, MohammadElias
- Venue
- Disability and Rehabilitation
- Publisher
- Informa UK Limited
- Published
- 2026-05-23
- Pages
- 1-14
- ISSN
- 0963-8288 (ISSN-L)
- 1464-5165
- OpenAlex
- W7162200914
- Semantic Scholar
- 52606e44b758af82bb8e2260851c8a8a81020c25
- Cited by
- 0
- References
- 43
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Disability and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- stroke rehabilitation, upper limb recovery, distant supervision, active control, home-based exercise, stroke survivors
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