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Technologies in Home-Based Digital Rehabilitation: Scoping Review

BACKGROUND: Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care pro...

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Autores principales: Arntz, Angela, Weber, Franziska, Handgraaf, Marietta, Lällä, Kaisa, Korniloff, Katariina, Murtonen, Kari-Pekka, Chichaeva, Julija, Kidritsch, Anita, Heller, Mario, Sakellari, Evanthia, Athanasopoulou, Christina, Lagiou, Areti, Tzonichaki, Ioanna, Salinas-Bueno, Iosune, Martínez-Bueso, Pau, Velasco-Roldán, Olga, Schulz, Ralf-Joachim, Grüneberg, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415951/
https://www.ncbi.nlm.nih.gov/pubmed/37253381
http://dx.doi.org/10.2196/43615
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author Arntz, Angela
Weber, Franziska
Handgraaf, Marietta
Lällä, Kaisa
Korniloff, Katariina
Murtonen, Kari-Pekka
Chichaeva, Julija
Kidritsch, Anita
Heller, Mario
Sakellari, Evanthia
Athanasopoulou, Christina
Lagiou, Areti
Tzonichaki, Ioanna
Salinas-Bueno, Iosune
Martínez-Bueso, Pau
Velasco-Roldán, Olga
Schulz, Ralf-Joachim
Grüneberg, Christian
author_facet Arntz, Angela
Weber, Franziska
Handgraaf, Marietta
Lällä, Kaisa
Korniloff, Katariina
Murtonen, Kari-Pekka
Chichaeva, Julija
Kidritsch, Anita
Heller, Mario
Sakellari, Evanthia
Athanasopoulou, Christina
Lagiou, Areti
Tzonichaki, Ioanna
Salinas-Bueno, Iosune
Martínez-Bueso, Pau
Velasco-Roldán, Olga
Schulz, Ralf-Joachim
Grüneberg, Christian
author_sort Arntz, Angela
collection PubMed
description BACKGROUND: Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients’ needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR. OBJECTIVE: In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR. METHODS: The scoping review followed the framework of Arksey and O’Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR. RESULTS: A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies. CONCLUSIONS: Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients’ needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.
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spelling pubmed-104159512023-08-12 Technologies in Home-Based Digital Rehabilitation: Scoping Review Arntz, Angela Weber, Franziska Handgraaf, Marietta Lällä, Kaisa Korniloff, Katariina Murtonen, Kari-Pekka Chichaeva, Julija Kidritsch, Anita Heller, Mario Sakellari, Evanthia Athanasopoulou, Christina Lagiou, Areti Tzonichaki, Ioanna Salinas-Bueno, Iosune Martínez-Bueso, Pau Velasco-Roldán, Olga Schulz, Ralf-Joachim Grüneberg, Christian JMIR Rehabil Assist Technol Original Paper BACKGROUND: Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients’ needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR. OBJECTIVE: In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR. METHODS: The scoping review followed the framework of Arksey and O’Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR. RESULTS: A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies. CONCLUSIONS: Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients’ needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic. JMIR Publications 2023-07-27 /pmc/articles/PMC10415951/ /pubmed/37253381 http://dx.doi.org/10.2196/43615 Text en ©Angela Arntz, Franziska Weber, Marietta Handgraaf, Kaisa Lällä, Katariina Korniloff, Kari-Pekka Murtonen, Julija Chichaeva, Anita Kidritsch, Mario Heller, Evanthia Sakellari, Christina Athanasopoulou, Areti Lagiou, Ioanna Tzonichaki, Iosune Salinas-Bueno, Pau Martínez-Bueso, Olga Velasco-Roldán, Ralf-Joachim Schulz, Christian Grüneberg. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 27.07.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Arntz, Angela
Weber, Franziska
Handgraaf, Marietta
Lällä, Kaisa
Korniloff, Katariina
Murtonen, Kari-Pekka
Chichaeva, Julija
Kidritsch, Anita
Heller, Mario
Sakellari, Evanthia
Athanasopoulou, Christina
Lagiou, Areti
Tzonichaki, Ioanna
Salinas-Bueno, Iosune
Martínez-Bueso, Pau
Velasco-Roldán, Olga
Schulz, Ralf-Joachim
Grüneberg, Christian
Technologies in Home-Based Digital Rehabilitation: Scoping Review
title Technologies in Home-Based Digital Rehabilitation: Scoping Review
title_full Technologies in Home-Based Digital Rehabilitation: Scoping Review
title_fullStr Technologies in Home-Based Digital Rehabilitation: Scoping Review
title_full_unstemmed Technologies in Home-Based Digital Rehabilitation: Scoping Review
title_short Technologies in Home-Based Digital Rehabilitation: Scoping Review
title_sort technologies in home-based digital rehabilitation: scoping review
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415951/
https://www.ncbi.nlm.nih.gov/pubmed/37253381
http://dx.doi.org/10.2196/43615
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