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Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability

Technological advancements facilitate feedback adaptation in rehabilitation through virtual reality (VR) exergaming, serious gaming, wearables, and telerehabilitation for older adults fall prevention. Although studies have evaluated these technologies, no comparisons of their effectiveness have been...

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Autores principales: Cieślik, Błażej, Mazurek, Justyna, Wrzeciono, Adam, Maistrello, Lorenza, Szczepańska-Gieracha, Joanna, Conte, Pierfranco, Kiper, Pawel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449892/
https://www.ncbi.nlm.nih.gov/pubmed/37620411
http://dx.doi.org/10.1038/s41746-023-00907-7
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author Cieślik, Błażej
Mazurek, Justyna
Wrzeciono, Adam
Maistrello, Lorenza
Szczepańska-Gieracha, Joanna
Conte, Pierfranco
Kiper, Pawel
author_facet Cieślik, Błażej
Mazurek, Justyna
Wrzeciono, Adam
Maistrello, Lorenza
Szczepańska-Gieracha, Joanna
Conte, Pierfranco
Kiper, Pawel
author_sort Cieślik, Błażej
collection PubMed
description Technological advancements facilitate feedback adaptation in rehabilitation through virtual reality (VR) exergaming, serious gaming, wearables, and telerehabilitation for older adults fall prevention. Although studies have evaluated these technologies, no comparisons of their effectiveness have been conducted to date. Thus, this study aims to assess the differences in effectiveness of these interventions on balance and functional mobility in the older adults. A systematic review and network meta-analysis (NMA) were conducted to identify the most effective interventions for improving balance and functional mobility in adults aged 60 and over. The search was conducted in five databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science) up to June 10, 2023. The eligibility criteria were: (1) older adults, (2) functional mobility, balance, or gait as the primary outcome, (3) new technology intervention, and (4) randomized study design. New technology interventions were classified into five categories: exergaming with balance platforms or motion capture technologies, other serious gaming, interventions with wearables, and telerehabilitation. Additionally, two categories of control interventions (conventional exercises and no treatment) were extracted. The NMA was performed for the aggregated results of all outcomes, and separately for clinical functional scales, functional mobility, and gait speed results. Fifty-two RCTs with 3081 participants were included. Exergaming with motion capture was found to be statistically significant in producing a better effect than no treatment in the analysis of the functional mobility with an SMD of −0.70 (P < 0.01). The network meta-analysis revealed that exergaming with motion capture offers greater therapeutic benefits for functional mobility and balance compared to no treatment control. The effectiveness of this approach is similar to that of conventional exercises. Further RCTs are needed to provide a more definitive conclusion, particularly with respect to the effectiveness of serious games, telerehabilitation, and interventions with wearables.
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spelling pubmed-104498922023-08-26 Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability Cieślik, Błażej Mazurek, Justyna Wrzeciono, Adam Maistrello, Lorenza Szczepańska-Gieracha, Joanna Conte, Pierfranco Kiper, Pawel NPJ Digit Med Review Article Technological advancements facilitate feedback adaptation in rehabilitation through virtual reality (VR) exergaming, serious gaming, wearables, and telerehabilitation for older adults fall prevention. Although studies have evaluated these technologies, no comparisons of their effectiveness have been conducted to date. Thus, this study aims to assess the differences in effectiveness of these interventions on balance and functional mobility in the older adults. A systematic review and network meta-analysis (NMA) were conducted to identify the most effective interventions for improving balance and functional mobility in adults aged 60 and over. The search was conducted in five databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science) up to June 10, 2023. The eligibility criteria were: (1) older adults, (2) functional mobility, balance, or gait as the primary outcome, (3) new technology intervention, and (4) randomized study design. New technology interventions were classified into five categories: exergaming with balance platforms or motion capture technologies, other serious gaming, interventions with wearables, and telerehabilitation. Additionally, two categories of control interventions (conventional exercises and no treatment) were extracted. The NMA was performed for the aggregated results of all outcomes, and separately for clinical functional scales, functional mobility, and gait speed results. Fifty-two RCTs with 3081 participants were included. Exergaming with motion capture was found to be statistically significant in producing a better effect than no treatment in the analysis of the functional mobility with an SMD of −0.70 (P < 0.01). The network meta-analysis revealed that exergaming with motion capture offers greater therapeutic benefits for functional mobility and balance compared to no treatment control. The effectiveness of this approach is similar to that of conventional exercises. Further RCTs are needed to provide a more definitive conclusion, particularly with respect to the effectiveness of serious games, telerehabilitation, and interventions with wearables. Nature Publishing Group UK 2023-08-24 /pmc/articles/PMC10449892/ /pubmed/37620411 http://dx.doi.org/10.1038/s41746-023-00907-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Cieślik, Błażej
Mazurek, Justyna
Wrzeciono, Adam
Maistrello, Lorenza
Szczepańska-Gieracha, Joanna
Conte, Pierfranco
Kiper, Pawel
Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title_full Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title_fullStr Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title_full_unstemmed Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title_short Examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
title_sort examining technology-assisted rehabilitation for older adults’ functional mobility: a network meta-analysis on efficacy and acceptability
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449892/
https://www.ncbi.nlm.nih.gov/pubmed/37620411
http://dx.doi.org/10.1038/s41746-023-00907-7
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