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Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease
Digital health technologies enable remote and therefore frequent measurement of motor signs, potentially providing reliable and valid estimates of motor sign severity and progression in Parkinson’s disease (PD). The Roche PD Mobile Application v2 was developed to measure bradykinesia, bradyphrenia a...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287320/ https://www.ncbi.nlm.nih.gov/pubmed/35840753 http://dx.doi.org/10.1038/s41598-022-15874-4 |
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author | Lipsmeier, Florian Taylor, Kirsten I. Postuma, Ronald B. Volkova-Volkmar, Ekaterina Kilchenmann, Timothy Mollenhauer, Brit Bamdadian, Atieh Popp, Werner L. Cheng, Wei-Yi Zhang, Yan-Ping Wolf, Detlef Schjodt-Eriksen, Jens Boulay, Anne Svoboda, Hanno Zago, Wagner Pagano, Gennaro Lindemann, Michael |
author_facet | Lipsmeier, Florian Taylor, Kirsten I. Postuma, Ronald B. Volkova-Volkmar, Ekaterina Kilchenmann, Timothy Mollenhauer, Brit Bamdadian, Atieh Popp, Werner L. Cheng, Wei-Yi Zhang, Yan-Ping Wolf, Detlef Schjodt-Eriksen, Jens Boulay, Anne Svoboda, Hanno Zago, Wagner Pagano, Gennaro Lindemann, Michael |
author_sort | Lipsmeier, Florian |
collection | PubMed |
description | Digital health technologies enable remote and therefore frequent measurement of motor signs, potentially providing reliable and valid estimates of motor sign severity and progression in Parkinson’s disease (PD). The Roche PD Mobile Application v2 was developed to measure bradykinesia, bradyphrenia and speech, tremor, gait and balance. It comprises 10 smartphone active tests (with ½ tests administered daily), as well as daily passive monitoring via a smartphone and smartwatch. It was studied in 316 early-stage PD participants who performed daily active tests at home then carried a smartphone and wore a smartwatch throughout the day for passive monitoring (study NCT03100149). Here, we report baseline data. Adherence was excellent (96.29%). All pre-specified sensor features exhibited good-to-excellent test–retest reliability (median intraclass correlation coefficient = 0.9), and correlated with corresponding Movement Disorder Society–Unified Parkinson's Disease Rating Scale items (rho: 0.12–0.71). These findings demonstrate the preliminary reliability and validity of remote at-home quantification of motor sign severity with the Roche PD Mobile Application v2 in individuals with early PD. |
format | Online Article Text |
id | pubmed-9287320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92873202022-07-17 Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease Lipsmeier, Florian Taylor, Kirsten I. Postuma, Ronald B. Volkova-Volkmar, Ekaterina Kilchenmann, Timothy Mollenhauer, Brit Bamdadian, Atieh Popp, Werner L. Cheng, Wei-Yi Zhang, Yan-Ping Wolf, Detlef Schjodt-Eriksen, Jens Boulay, Anne Svoboda, Hanno Zago, Wagner Pagano, Gennaro Lindemann, Michael Sci Rep Article Digital health technologies enable remote and therefore frequent measurement of motor signs, potentially providing reliable and valid estimates of motor sign severity and progression in Parkinson’s disease (PD). The Roche PD Mobile Application v2 was developed to measure bradykinesia, bradyphrenia and speech, tremor, gait and balance. It comprises 10 smartphone active tests (with ½ tests administered daily), as well as daily passive monitoring via a smartphone and smartwatch. It was studied in 316 early-stage PD participants who performed daily active tests at home then carried a smartphone and wore a smartwatch throughout the day for passive monitoring (study NCT03100149). Here, we report baseline data. Adherence was excellent (96.29%). All pre-specified sensor features exhibited good-to-excellent test–retest reliability (median intraclass correlation coefficient = 0.9), and correlated with corresponding Movement Disorder Society–Unified Parkinson's Disease Rating Scale items (rho: 0.12–0.71). These findings demonstrate the preliminary reliability and validity of remote at-home quantification of motor sign severity with the Roche PD Mobile Application v2 in individuals with early PD. Nature Publishing Group UK 2022-07-15 /pmc/articles/PMC9287320/ /pubmed/35840753 http://dx.doi.org/10.1038/s41598-022-15874-4 Text en © The Author(s) 2022 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 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/) . |
spellingShingle | Article Lipsmeier, Florian Taylor, Kirsten I. Postuma, Ronald B. Volkova-Volkmar, Ekaterina Kilchenmann, Timothy Mollenhauer, Brit Bamdadian, Atieh Popp, Werner L. Cheng, Wei-Yi Zhang, Yan-Ping Wolf, Detlef Schjodt-Eriksen, Jens Boulay, Anne Svoboda, Hanno Zago, Wagner Pagano, Gennaro Lindemann, Michael Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title | Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title_full | Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title_fullStr | Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title_full_unstemmed | Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title_short | Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease |
title_sort | reliability and validity of the roche pd mobile application for remote monitoring of early parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287320/ https://www.ncbi.nlm.nih.gov/pubmed/35840753 http://dx.doi.org/10.1038/s41598-022-15874-4 |
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