Cargando…
Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown
Objective: To evaluate the feasibility of a smartphone remote patient monitoring approach in a real-life Parkinson's disease (PD) cohort during the Italian COVID-19 lockdown. Methods: Fifty-four non-demented PD patients who were supposed to attend the outpatient March clinic were recruited for...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575750/ https://www.ncbi.nlm.nih.gov/pubmed/33117262 http://dx.doi.org/10.3389/fneur.2020.567413 |
_version_ | 1783597869648838656 |
---|---|
author | Motolese, Francesco Magliozzi, Alessandro Puttini, Fiorella Rossi, Mariagrazia Capone, Fioravante Karlinski, Keren Stark-Inbar, Alit Yekutieli, Ziv Di Lazzaro, Vincenzo Marano, Massimo |
author_facet | Motolese, Francesco Magliozzi, Alessandro Puttini, Fiorella Rossi, Mariagrazia Capone, Fioravante Karlinski, Keren Stark-Inbar, Alit Yekutieli, Ziv Di Lazzaro, Vincenzo Marano, Massimo |
author_sort | Motolese, Francesco |
collection | PubMed |
description | Objective: To evaluate the feasibility of a smartphone remote patient monitoring approach in a real-life Parkinson's disease (PD) cohort during the Italian COVID-19 lockdown. Methods: Fifty-four non-demented PD patients who were supposed to attend the outpatient March clinic were recruited for a prospective study. All patients had a known UPDRS-III and a modified Hoehn and Yahr (H&Y) score and were provided with a smartphone application capable of providing indicators of gait, tapping, tremor, memory and executive functions. Different questionnaires exploring non-motor symptoms and quality of life were administered through phone-calls. Patients were asked to run the app at least twice per week (i.e., full compliance). Subjects were phone-checked weekly throughout a 3-week period for compliance and final satisfaction questionnaires. Results: Forty-five patients (83.3%) ran the app at least once; Twenty-nine (53.7%) subjects were half-compliant, while 16 (29.6%) were fully compliant. Adherence was hindered by technical issues or digital illiteracy (38.7%), demotivation (24%) and health-related issues (7.4%). Ten patients (18.5%) underwent PD therapy changes. The main factors related to lack of compliance included loss of interest, sadness, anxiety, the absence of a caregiver, the presence of falls and higher H&Y. Gait, tapping, tremor and cognitive application outcomes were correlated to disease duration, UPDRS-III and H&Y. Discussion: The majority of patients were compliant and satisfied by the provided monitoring program. Some of the application outcomes were statistically correlated to clinical parameters, but further validation is required. Our pilot study suggested that the available technologies could be readily implemented even with the current population's technical and intellectual resources. |
format | Online Article Text |
id | pubmed-7575750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75757502020-10-27 Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown Motolese, Francesco Magliozzi, Alessandro Puttini, Fiorella Rossi, Mariagrazia Capone, Fioravante Karlinski, Keren Stark-Inbar, Alit Yekutieli, Ziv Di Lazzaro, Vincenzo Marano, Massimo Front Neurol Neurology Objective: To evaluate the feasibility of a smartphone remote patient monitoring approach in a real-life Parkinson's disease (PD) cohort during the Italian COVID-19 lockdown. Methods: Fifty-four non-demented PD patients who were supposed to attend the outpatient March clinic were recruited for a prospective study. All patients had a known UPDRS-III and a modified Hoehn and Yahr (H&Y) score and were provided with a smartphone application capable of providing indicators of gait, tapping, tremor, memory and executive functions. Different questionnaires exploring non-motor symptoms and quality of life were administered through phone-calls. Patients were asked to run the app at least twice per week (i.e., full compliance). Subjects were phone-checked weekly throughout a 3-week period for compliance and final satisfaction questionnaires. Results: Forty-five patients (83.3%) ran the app at least once; Twenty-nine (53.7%) subjects were half-compliant, while 16 (29.6%) were fully compliant. Adherence was hindered by technical issues or digital illiteracy (38.7%), demotivation (24%) and health-related issues (7.4%). Ten patients (18.5%) underwent PD therapy changes. The main factors related to lack of compliance included loss of interest, sadness, anxiety, the absence of a caregiver, the presence of falls and higher H&Y. Gait, tapping, tremor and cognitive application outcomes were correlated to disease duration, UPDRS-III and H&Y. Discussion: The majority of patients were compliant and satisfied by the provided monitoring program. Some of the application outcomes were statistically correlated to clinical parameters, but further validation is required. Our pilot study suggested that the available technologies could be readily implemented even with the current population's technical and intellectual resources. Frontiers Media S.A. 2020-10-07 /pmc/articles/PMC7575750/ /pubmed/33117262 http://dx.doi.org/10.3389/fneur.2020.567413 Text en Copyright © 2020 Motolese, Magliozzi, Puttini, Rossi, Capone, Karlinski, Stark-Inbar, Yekutieli, Di Lazzaro and Marano. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Motolese, Francesco Magliozzi, Alessandro Puttini, Fiorella Rossi, Mariagrazia Capone, Fioravante Karlinski, Keren Stark-Inbar, Alit Yekutieli, Ziv Di Lazzaro, Vincenzo Marano, Massimo Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title | Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title_full | Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title_fullStr | Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title_full_unstemmed | Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title_short | Parkinson's Disease Remote Patient Monitoring During the COVID-19 Lockdown |
title_sort | parkinson's disease remote patient monitoring during the covid-19 lockdown |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575750/ https://www.ncbi.nlm.nih.gov/pubmed/33117262 http://dx.doi.org/10.3389/fneur.2020.567413 |
work_keys_str_mv | AT motolesefrancesco parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT magliozzialessandro parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT puttinifiorella parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT rossimariagrazia parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT caponefioravante parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT karlinskikeren parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT starkinbaralit parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT yekutieliziv parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT dilazzarovincenzo parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown AT maranomassimo parkinsonsdiseaseremotepatientmonitoringduringthecovid19lockdown |