BACKGROUND: @entity309 ( @entity309 ) is a progressive @entity32 that causes damage to @entity2720 , decline in functional status, and premature mortality. Thus, effective and frequent objective assessments are necessary. Then, we developed a self-assessment system for @entity309 @entity1 based on a smartphone application. OBJECTIVE: The purpose of this study was to investigate the feasibility of a self-assessment system for @entity309 @entity1 using a smartphone application. METHODS: We measured daily disease activity in nine @entity309 @entity1 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 @entity1 via the smartphone application each day. To assess @entity1 ' @entity309 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 @entity1 ' actual disease activity during the 3-month period, as assessed by clinical examination. Furthermore, most @entity1 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 @entity309 activity for both @entity1 and healthcare providers.

Self-assessment of XXXX Activity Using a Smartphone Application. Development and 3-month Feasibility Study.

@entity2720 :: ('MESH:D007592', 'Disease') :: ['multiple joints'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammatory disease'] @entity1 :: ('9606', 'Species') :: ['participants', 'patients'] @entity309 :: ('MESH:D001172', 'Disease') :: ['RA disease', 'Rheumatoid arthritis', 'RA']
@entity309 :: (MESH:D001172,Disease) :: ['Rheumatoid Arthritis Disease']
