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

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...

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Autores principales: Mura, Anna, Maier, Martina, Ballester, Belén Rubio, De la Torre Costa, Javier, López-Luque, Judit, Gelineau, Axelle, Mandigout, Stephane, Ghatan, Per Hamid, Fiorillo, Raffaele, Antenucci, Fabrizio, Coolen, Ton, Chivite, Iñigo, Callen, Antonio, Landais, Hugo, Gómez, Olga Irina, Melero, Cristina, Brandi, Santiago, Domenech, Marc, Daviet, Jean-Christophe, Zucca, Riccardo, Verschure, Paul F. M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207837/
https://www.ncbi.nlm.nih.gov/pubmed/35725616
http://dx.doi.org/10.1186/s13063-022-06444-0
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author Mura, Anna
Maier, Martina
Ballester, Belén Rubio
De la Torre Costa, Javier
López-Luque, Judit
Gelineau, Axelle
Mandigout, Stephane
Ghatan, Per Hamid
Fiorillo, Raffaele
Antenucci, Fabrizio
Coolen, Ton
Chivite, Iñigo
Callen, Antonio
Landais, Hugo
Gómez, Olga Irina
Melero, Cristina
Brandi, Santiago
Domenech, Marc
Daviet, Jean-Christophe
Zucca, Riccardo
Verschure, Paul F. M. J.
author_facet Mura, Anna
Maier, Martina
Ballester, Belén Rubio
De la Torre Costa, Javier
López-Luque, Judit
Gelineau, Axelle
Mandigout, Stephane
Ghatan, Per Hamid
Fiorillo, Raffaele
Antenucci, Fabrizio
Coolen, Ton
Chivite, Iñigo
Callen, Antonio
Landais, Hugo
Gómez, Olga Irina
Melero, Cristina
Brandi, Santiago
Domenech, Marc
Daviet, Jean-Christophe
Zucca, Riccardo
Verschure, Paul F. M. J.
author_sort Mura, Anna
collection PubMed
description 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. TRIAL REGISTRATION: ClinicalTrials.gov NCT04620707. Registered on November 3, 2020
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spelling pubmed-92078372022-06-21 Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home) Mura, Anna Maier, Martina Ballester, Belén Rubio De la Torre Costa, Javier López-Luque, Judit Gelineau, Axelle Mandigout, Stephane Ghatan, Per Hamid Fiorillo, Raffaele Antenucci, Fabrizio Coolen, Ton Chivite, Iñigo Callen, Antonio Landais, Hugo Gómez, Olga Irina Melero, Cristina Brandi, Santiago Domenech, Marc Daviet, Jean-Christophe Zucca, Riccardo Verschure, Paul F. M. J. Trials Study Protocol 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. TRIAL REGISTRATION: ClinicalTrials.gov NCT04620707. Registered on November 3, 2020 BioMed Central 2022-06-20 /pmc/articles/PMC9207837/ /pubmed/35725616 http://dx.doi.org/10.1186/s13063-022-06444-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Mura, Anna
Maier, Martina
Ballester, Belén Rubio
De la Torre Costa, Javier
López-Luque, Judit
Gelineau, Axelle
Mandigout, Stephane
Ghatan, Per Hamid
Fiorillo, Raffaele
Antenucci, Fabrizio
Coolen, Ton
Chivite, Iñigo
Callen, Antonio
Landais, Hugo
Gómez, Olga Irina
Melero, Cristina
Brandi, Santiago
Domenech, Marc
Daviet, Jean-Christophe
Zucca, Riccardo
Verschure, Paul F. M. J.
Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title_full Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title_fullStr Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title_full_unstemmed Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title_short Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home)
title_sort bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (rgs@home)
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207837/
https://www.ncbi.nlm.nih.gov/pubmed/35725616
http://dx.doi.org/10.1186/s13063-022-06444-0
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