E053 The use of online platforms in the treatment of chronic musculoskeletal disease

Abstract

Abstract Background/Aims Persistent pain is a common feature of rheumatic diseases, and has a significant impact on the emotional, physical and social wellbeing of individuals. Despite pharmacological treatment for inflammatory arthritis, such as rheumatoid arthritis (RA), 10-20% have features suggestive of co-existing centralised pain. These patients have worse pain, mood and sleep despite DMARD therapy. Similar to fibromyalgia (FM), non-pharmacological treatments are likely to be useful for this problem. Evidence supports cognitive behavioural therapy (CBT) and acceptance and commitment therapy (ACT) for the management of chronic musculoskeletal pain. Unfortunately, access to services is poor for many people. This has driven the development of online treatment programmes and apps. The current study explores willingness of patients with rheumatic diseases to use online platforms in this context. Methods An observational cohort study of patients with a clinical diagnosis of either RA or FM were recruited from NHS outpatient clinics. Data collection was via the online platform Redcap. Analysis compared demographic and clinical features of those with past use of online platforms or apps for health purposes using Student’s t-test and chi squared tests. A similar comparison was conducted for future use of online platforms or apps. Results Of 343 patients 177(52%) FM, 166(48%) RA), 264 (77%) were female with mean (SD) age 48 (13.6). Past use of online platforms is summarised in Table 1. Significantly more patients with FM (70%) would be willing to try an online platform in future, compared to those with RA (30%). Those with future interest are more likely to be younger (mean age 46), have lower mood (mean PHQ-9 13), worse sleep (mean ISI 14.6) and less pain (mean VAS 6.6) compared to those who would not (mean age 60, PHQ-9 12, ISI 12.6 and VAS 7.0 respectively). Conclusion Those with FM are more likely to engage with online platforms or apps for health purposes than those with RA. In this analysis, users were more likely to be younger and experience more severe anxiety and depression but further work is needed to evaluate the contributing factors which will be essential when optimising the impact of online healthcare initiatives. Disclosure A.J.W. Wall: None. E. Kelleher: None. V. Wanigasekera: None. A. Irani (nee Soni): None.