Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784748226740486144
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
work_keys_str_mv AT lipsmeierflorian reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT taylorkirsteni reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT postumaronaldb reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT volkovavolkmarekaterina reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT kilchenmanntimothy reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT mollenhauerbrit reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT bamdadianatieh reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT poppwernerl reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT chengweiyi reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT zhangyanping reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT wolfdetlef reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT schjodteriksenjens reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT boulayanne reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT svobodahanno reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT zagowagner reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT paganogennaro reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease
AT lindemannmichael reliabilityandvalidityoftherochepdmobileapplicationforremotemonitoringofearlyparkinsonsdisease