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

Authors :
Urs Peter Mosimann
Angela Botros
Martin Camenzind
René M. Müri
Rolf Kistler
Tim Vanbellingen
Narayan Schütz
Daniel Bolliger
Prabitha Urwyler
Stephan Bohlhalter
Tobias Nef
Source :
Sensors (Basel, Switzerland), Botros, Angela; Schütz, Narayan; Camenzind, Martin; Urwyler, Prabitha; Bolliger, Daniel; Vanbellingen, Tim; Kistler, Rolf; Bohlhalter, Stephan; Müri, René M.; Mosimann, Urs P.; Nef, Tobias (2019). Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson's Disease-Acceptance and Adherence. Sensors, 19(23) Molecular Diversity Preservation International MDPI 10.3390/s19235169 , Sensors, Volume 19, Issue 23
Publication Year :
2019

Abstract

Parkinson&rsquo<br />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.

Details

ISSN :
14248220
Volume :
19
Issue :
23
Database :
OpenAIRE
Journal :
Sensors (Basel, Switzerland)
Accession number :
edsair.doi.dedup.....8bc37bb9fbf82e75c8d0a1e82b568702
Full Text :
https://doi.org/10.3390/s19235169