P104 Longitudinal patient reported outcome data collected from a smartphone app can map group level trajectories of disease activity over time

Abstract

Abstract Background Patient-reported outcome measures are a cornerstone of the current early inflammatory arthritis audit and part of the best practice tariff. However, outcome data are collected infrequently meaning longitudinal changes in disease activity cannot be accurately examined. We report results of a twelve-month clinical pilot of a cloud-enabled commercial smartphone app to record patient self-reported disease activity outcome measures to evaluate trends of disease activity in a routine rheumatology setting. Methods Patients with a clinical diagnosis of inflammatory arthritis attending routine rheumatology clinic were offered the opportunity to use a smartphone app to record their disease activity between hospital appointments using the RAPID3. Data from the first twelve months (July 2018 - July 2019) was extracted and latent class modelling using aggregate data was undertaken to explore the trends of disease activity experienced by our patients at a group level. Standard analysis recommendations were followed. Results Over the course of twelve-months, 58 patients used the app to record their disease activity using the RAPID3. These patients had a mean age of 53 and were 76% female. 35 patients had rheumatoid arthritis, 15 patients had psoriatic arthritis and 8 had another inflammatory arthritis. The median number of RAPID3 scores completed per patient was 8 (interquartile range 14), and a total of 706 RAPID3 scores were submitted over the 12 months. Three different trajectories of disease activity were identified among our cohort of patients. The first trajectory showed a low stable plateau of disease activity for six months before further improvement (27 patients:47%) over six months. The second trajectory (23 patients; 40%) showed an initial moderate disease activity which gradually declined over six months before improving markedly in the last three months, returning to moderate disease activity. The final trajectory (8 patients; 14%) identified patients with the highest disease activity which showed a gradual but slow improvement of disease activity over twelve months. These different trajectories show the changing burden of inflammatory arthritis over time. Conclusion Regular longitudinal data collection of patient-reported outcomes via a smartphone app can be used to show distinct group level trajectories of disease activity and could be used to examine changes in outcomes of patients over time. Data such as these could be used at a departmental level to examine the burden of inflammatory arthritis experienced by patients, assist planning future service requirements, and help anticipate the timings of future appointments more accurately for patients. Disclosures P.D.H. Hamann Consultancies; Living With Ltd. Royalties; PH has provided consultancy for and has an options and limited royalty agreement with, Living With Ltd. software company for the development of the smartphone application described in this abstract. N. Minaur None. J.H. Tobias None. E.M. Clark None.