title: Self-assessment of Rheumatoid Arthritis Disease Activity Using a Smartphone Application. Development and 3-month Feasibility Study.
abstract: BACKGROUND
  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 smartphone application.
  
  
  METHODS
  We measured daily disease activity in nine RA patients who used the smartphone 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.
authors.affiliation: Shu Nishiguchi, R.P.T., M.Sc., Department of Physical Therapy, Human Health Sciences, Kyoto University Graduate School of Medicine, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan, E-mail: shu.nsgc.kupt@gmail.com.
authors.forename: S
authors.initials: S
authors.lastname: Nishiguchi
authors.forename: H
authors.initials: H
authors.lastname: Ito
authors.forename: M
authors.initials: M
authors.lastname: Yamada
authors.forename: H
authors.initials: H
authors.lastname: Yoshitomi
authors.forename: M
authors.initials: M
authors.lastname: Furu
authors.forename: T
authors.initials: T
authors.lastname: Ito
authors.forename: A
authors.initials: A
authors.lastname: Shinohara
authors.forename: T
authors.initials: T
authors.lastname: Ura
authors.forename: K
authors.initials: K
authors.lastname: Okamoto
authors.forename: T
authors.initials: T
authors.lastname: Aoyama
authors.forename: Tadao
authors.initials: T
authors.lastname: Tsuboyama
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D018771:Arthralgia / Q000175:diagnosis; D001172:Arthritis, Rheumatoid / Q000175:diagnosis*; D002097:C-Reactive Protein / Q000737:chemistry; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D059026:Diagnostic Self Evaluation; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D063731:Mobile Applications; D011594:Psychometrics / Q000379:methods; D012219:Rheumatology / Q000379:methods; D000068997:Smartphone; D012984:Software; D011795:Surveys and Questionnaires; D014584:User-Computer Interface
chemical_list: D002097:C-Reactive Protein
keywords: Rheumatoid arthritis; disease activity; feasibility study; self-assessment; smartphone