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Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence

Parkinson’s disease (PD) is characterized by a highly individual disease-profile as well as fluctuating symptoms. Consequently, 24-h home monitoring in a real-world environment would be an ideal solution for precise symptom diagnostics. In recent years, small lightweight sensors which have assisted...

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Autores principales: Botros, Angela, Schütz, Narayan, Camenzind, Martin, Urwyler, Prabitha, Bolliger, Daniel, Vanbellingen, Tim, Kistler, Rolf, Bohlhalter, Stephan, Müri, Rene M., Mosimann, Urs P., Nef, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928790/
https://www.ncbi.nlm.nih.gov/pubmed/31779108
http://dx.doi.org/10.3390/s19235169
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author Botros, Angela
Schütz, Narayan
Camenzind, Martin
Urwyler, Prabitha
Bolliger, Daniel
Vanbellingen, Tim
Kistler, Rolf
Bohlhalter, Stephan
Müri, Rene M.
Mosimann, Urs P.
Nef, Tobias
author_facet Botros, Angela
Schütz, Narayan
Camenzind, Martin
Urwyler, Prabitha
Bolliger, Daniel
Vanbellingen, Tim
Kistler, Rolf
Bohlhalter, Stephan
Müri, Rene M.
Mosimann, Urs P.
Nef, Tobias
author_sort Botros, Angela
collection PubMed
description Parkinson’s disease (PD) is characterized by a highly individual disease-profile as well as fluctuating symptoms. Consequently, 24-h home monitoring in a real-world environment would be an ideal solution for precise symptom diagnostics. In recent years, small lightweight sensors which have assisted in objective, reliable analysis of motor symptoms have attracted a lot of attention. While technical advances are important, patient acceptance of such new systems is just as crucial to increase long-term adherence. So far, there has been a lack of long-term evaluations of PD-patient sensor adherence and acceptance. In a pilot study of PD patients (N = 4), adherence (wearing time) and acceptance (questionnaires) of a multi-part sensor set was evaluated over a 4-week timespan. The evaluated sensor set consisted of 3 body-worn sensors and 7 at-home installed ambient sensors. After one month of continuous monitoring, the overall system usability scale (SUS)-questionnaire score was 71.5%, with an average acceptance score of 87% for the body-worn sensors and 100% for the ambient sensors. On average, sensors were worn 15 h and 4 min per day. All patients reported strong preferences of the sensor set over manual self-reporting methods. Our results coincide with measured high adherence and acceptance rate of similar short-term studies and extend them to long-term monitoring.
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spelling pubmed-69287902019-12-26 Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence Botros, Angela Schütz, Narayan Camenzind, Martin Urwyler, Prabitha Bolliger, Daniel Vanbellingen, Tim Kistler, Rolf Bohlhalter, Stephan Müri, Rene M. Mosimann, Urs P. Nef, Tobias Sensors (Basel) Article Parkinson’s disease (PD) is characterized by a highly individual disease-profile as well as fluctuating symptoms. Consequently, 24-h home monitoring in a real-world environment would be an ideal solution for precise symptom diagnostics. In recent years, small lightweight sensors which have assisted in objective, reliable analysis of motor symptoms have attracted a lot of attention. While technical advances are important, patient acceptance of such new systems is just as crucial to increase long-term adherence. So far, there has been a lack of long-term evaluations of PD-patient sensor adherence and acceptance. In a pilot study of PD patients (N = 4), adherence (wearing time) and acceptance (questionnaires) of a multi-part sensor set was evaluated over a 4-week timespan. The evaluated sensor set consisted of 3 body-worn sensors and 7 at-home installed ambient sensors. After one month of continuous monitoring, the overall system usability scale (SUS)-questionnaire score was 71.5%, with an average acceptance score of 87% for the body-worn sensors and 100% for the ambient sensors. On average, sensors were worn 15 h and 4 min per day. All patients reported strong preferences of the sensor set over manual self-reporting methods. Our results coincide with measured high adherence and acceptance rate of similar short-term studies and extend them to long-term monitoring. MDPI 2019-11-26 /pmc/articles/PMC6928790/ /pubmed/31779108 http://dx.doi.org/10.3390/s19235169 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Botros, Angela
Schütz, Narayan
Camenzind, Martin
Urwyler, Prabitha
Bolliger, Daniel
Vanbellingen, Tim
Kistler, Rolf
Bohlhalter, Stephan
Müri, Rene M.
Mosimann, Urs P.
Nef, Tobias
Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title_full Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title_fullStr Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title_full_unstemmed Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title_short Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence
title_sort long-term home-monitoring sensor technology in patients with parkinson’s disease—acceptance and adherence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928790/
https://www.ncbi.nlm.nih.gov/pubmed/31779108
http://dx.doi.org/10.3390/s19235169
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