Self-assessment of Rheumatoid Arthritis Disease Activity Using a Smartphone Application

S. Nishiguchi; H. Ito; M. Yamada; H. Yoshitomi; M. Furu; M. Ito; A. Shinohara; T. Ura; K. Okamoto; T. Aoyama; Tadao Tsuboyama

doi:10.3414/ME14-01-0106

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 2016; 55(01): 65-69
DOI: 10.3414/ME14-01-0106

Focus Theme – Original Articles

Schattauer GmbH

Self-assessment of Rheumatoid Arthritis Disease Activity Using a Smartphone Application

Development and 3-month Feasibility Study

S. Nishiguchi

¹Department of Physical Therapy, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan

²Japan Society for the Promotion of Science, Tokyo, Japan

,

H. Ito

³Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan

,

M. Yamada

⁴Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan

,

H. Yoshitomi

⁵Center for Innovation in Immunoregulative Technology and Therapeutics, Kyoto University Graduate School of Medicine, Kyoto, Japan

,

M. Furu

³Department of the Control for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan

,

M. Ito

⁶NTT Service Evolution Laboratories, Kanagawa, Japan

,

A. Shinohara

⁶NTT Service Evolution Laboratories, Kanagawa, Japan

,

T. Ura

⁶NTT Service Evolution Laboratories, Kanagawa, Japan

,

K. Okamoto

⁷Division of Medical Information Technology and Administration Planning, Kyoto University Hospital, Kyoto, Japan

,

T. Aoyama

¹Department of Physical Therapy, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan

,

Tadao Tsuboyama

¹Department of Physical Therapy, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan

› Institutsangaben

Abstract

Summary

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Methodologies, Models and Algorithms for Patients Rehabilitation”. Background: Rheumatoid arthritis (RA) is a progressive inflammatory disease that causes damage to multiple joints, decline in functional status, and premature mortality. Thus, effective and frequent objective assessments are necessary. Then, we developed a self-assessment system for RA patients based on a smartphone application. Objective: The purpose of this study was to investigate the feasibility of a self-assessment system for RA patients using a smart-phone application. Methods: We measured daily disease activity in nine RA patients who used the smart-phone application for a period of three 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. To assess participants’ RA disease activity, the DAS28 based on the C-reactive protein level was measured by a rheumatologist during monthly clinical visits. Results: 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 favourable 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. Conclusions: The results of this feasibility study indicated that the DAS28 predictive model can longitudinally predict DAS28 and may be an acceptable and useful tool for assessment of RA disease activity for both patients and healthcare providers.

Keywords

Rheumatoid arthritis - disease activity - smart-phone - self-assessment - feasibility study

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