Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)

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• dc.contributor.author Mura, Anna
• dc.contributor.author Zucca, Riccardo
• dc.contributor.author Verschure, Paul F. M. J.
• dc.date.accessioned 2022-12-13T07:37:47Z
• dc.date.available 2022-12-13T07:37:47Z
• dc.date.issued 2022
• dc.description.abstract Background: there is a pressing need for scalable healthcare solutions and a shift in the rehabilitation paradigm from hospitals to homes to tackle the increase in stroke incidence while reducing the practical and economic burden for patients, hospitals, and society. Digital health technologies can contribute to addressing this challenge; however, little is known about their effectiveness in at-home settings. In response, we have designed the RGS@home study to investigate the effectiveness, acceptance, and cost of a deep tech solution called the Rehabilitation Gaming System (RGS). RGS is a cloud-based system for delivering AI-enhanced rehabilitation using virtual reality, motion capture, and wearables that can be used in the hospital and at home. The core principles of the brain theory-based RGS intervention are to deliver rehabilitation exercises in the form of embodied, goal-oriented, and task-specific action. Methods: the RGS@home study is a randomized longitudinal clinical trial designed to assess whether the combination of the RGS intervention with standard care is superior to standard care alone for the functional recovery of stroke patients at the hospital and at home. The study is conducted in collaboration with hospitals in Spain, Sweden, and France and includes inpatients and outpatients at subacute and chronic stages post-stroke. The intervention duration is 3 months with assessment at baseline and after 3, 6, and 12 months. The impact of RGS is evaluated in terms of quality of life measurements, usability, and acceptance using standardized clinical scales, together with health economic analysis. So far, one-third of the patients expected to participate in the study have been recruited (N = 90, mean age 60, days after stroke ≥ 30 days). The trial will end in July 2023. Discussion: we predict an improvement in the patients' recovery, high acceptance, and reduced costs due to a soft landing from the clinic to home rehabilitation. In addition, the data provided will allow us to assess whether the prescription of therapy at home can counteract deterioration and improve quality of life while also identifying new standards for online and remote assessment, diagnostics, and intervention across European hospitals.
• dc.format.mimetype application/pdf
• dc.identifier.citation Mura A, Maier M, Ballester BR, De la Torre Costa J, López-Luque J, Gelineau A, et al. Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home). Trials. 2022 Jun 20; 23(1): 518. DOI: 10.1186/s13063-022-06444-0
• dc.identifier.doi http://dx.doi.org/10.1186/s13063-022-06444-0
• dc.identifier.issn 1745-6215
• dc.identifier.uri http://hdl.handle.net/10230/55116
• dc.language.iso eng
• dc.publisher BioMed Central
• dc.rights Copyright © Mura A, Maier M, Ballester BR, De la Torre Costa J, López-Luque J, Gelineau A, et al. 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Deep tech
• dc.subject.keyword E-health
• dc.subject.keyword Home treatment
• dc.subject.keyword Motor recovery
• dc.subject.keyword Randomized clinical trial
• dc.subject.keyword Stroke
• dc.subject.keyword Upper extremities
• dc.subject.keyword Virtual reality
• dc.subject.keyword Wearable
• dc.title Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion