Daily assessment of rheumatoid arthritis disease activity using a smartphone application: development and 3-month feasibility study
Authors: 
Shu Nishiguchi, Hiromu Ito, Minoru Yamada, Hiroyuki Yoshitomi, Moritoshi Furu, Tomoki Aoyama, Tadao Tsuboyama, Tatsuaki Ito, Akio Shinohara, Tetsuya Ura, Kazuya OkamotoAuthors Info & Claims
Pages 414 - 417
Abstract
In this paper, we report the development and feasibility of a daily assessment system for rheumatoid arthritis (RA) patients based on a smartphone application. We measured daily disease activity in 9 RA patients who used the smartphone application for a period of 3 months. A disease activity score (DAS28) predictive model was used and feedback comments relating to disease activity were shown to patients via the smartphone application each day. The disease activity measured by the application correlated well with the patients' actual disease activity during the 3-month period, as assessed by clinical examination. Furthermore, most participants gave favorable responses to a questionnaire administered at the end of the 3-month period containing questions relating to the ease of use and usefulness of the system. The results of this feasibility study indicate that the DAS28 predictive model can longitudinally predict a disease activity score based on the C-reactive protein level and may be an acceptable and useful tool for the assessment of RA disease activity for both patients and healthcare providers.
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May 2014
459 pages
ISBN:9781631900112
- General Chair:
- Andreas Hein,
- Program Chairs:
- Susanne Boll,
- Friedrich Köhler
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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Brussels, Belgium
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Published: 20 May 2014
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PervasiveHealth '14
PervasiveHealth '14: 8th International Conference on Pervasive Computing Technologies for Healthcare
May 20 - 23, 2014
Oldenburg, Germany
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