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System Usability Scale (SUS) applied to a webbased integrated system for the management of data from people with Parkinson's disease

Authors: Folador, Joao Paulo; Souza Santos, Maria Cecilia; Oliveira Andrade, Adriano;

System Usability Scale (SUS) applied to a webbased integrated system for the management of data from people with Parkinson's disease

Abstract

Parkinson’s disease (PD) is a neurodegenerative condition of the central nervous system that affects the brain and brings several different symptoms to the life of patients. Distinct exams can be done to identify and monitor the variety of health problems caused by PD, and each exam can generate a huge quantity of data. Thus, the amount of information produced needs to be managed with organization, security, and consistency. In this work, a system so-called SIDABI was developed to manage data collected from people with PD. The system was made available in institutions that deal with people with PD. The usability of the system was executed by applying the System Usability Scale (SUS). This evaluation tries to bring up possible problems on the system usability and interface. In addition, Fleiss’ kappa and Kendall’s coefficient were applied to verify the agreement of users. The average SUS score reached 83.0 points, the Fleiss’ Kappa was 0.245, a fair concordance, and Kendall’s coefficient was 70% of agreement between the raters. These results suggest the system provides a good experience for the user during user interaction.

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Keywords

Web-based system, Parkinson's disease, Parkinson's disease, Parkinson's disease, web-based system, data management, System Usability Scale., Data management, Web-based system, web-based system, data management, System Usability Scale, Parkinson's disease, web-based system, data management, System Usability Scale.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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