Bearne, Lindsay, Sekhon, Mandeep, Grainger, Rebecca, La, Anthony, Shamali, Mehrdad, Amirova, Aliya, Godfrey, Emma and White, Claire (2020) Identifying physical activity mobile applications for people with rheumatoid arthritis : a content analysis and quality appraisal. In: British Society for Rheumatology Annual Conference 2020; 20-22 Apr 2020, Glasgow, Scotland = Cancelled due to Covid-19.
Abstract
Background Physical activity and exercise (PA) are recommended for people with rheumatoid arthritis (RA), although adherence to PA tends to be low. Accessible, tailored interventions are needed to help people with RA change their behaviour to achieve public health PA recommendations and improve health outcomes. Use of smartphones and mobile applications (apps) is increasing and apps may assist people to reach PA recommendations. However, the availability, quality and content of evidence-based PA apps for people with RA is unknown. This study assessed the features, content and quality of apps targeting PA for adults with RA by i) systematically identifying apps ii) summarising their features and content iii) comparing their content to physical activity and exercise guidelines and iv) rating app quality. Methods A systematic search of the UK Apple AppStore and Google Play store was conducted to identify apps designed to facilitate PA in adults with RA between 19th-20th June 2019. Apps were excluded if they were i) not in English ii) for use by clinicians only or ii) solely focused on advertising a clinic/product. No fee restrictions were applied. Android and iOS apps were downloaded to smartphones, features/functionality described, content coded using Consensus on Exercise Reporting Template (CERT) and behaviour change technique taxonomy V1 (BCTTv1) and apps rated using the Mobile App Rating Scale (MARS range 0-5) by two independent reviewers. App features were compared with public health PA guidelines (150 minutes moderate PA/week or equivalent plus twice weekly resistance exercise) and American College of Sports Medicine recommendations for exercise prescription. Results Initially, 14,047 apps were identified. Following de-duplication, 2,737 apps were screened for eligibly and six apps were downloaded (two UK Apple AppStore, four Google Play store), yielding four unique apps. Only one app provided PA recommendations broadly aligned with public health PA guidelines and no apps aligned to ACSM exercise prescription guidelines or offered information on tailoring of PA to disease symptoms or health status. Apps included between 4-13 behaviour change techniques (BCTs) and three BCTs were common to all apps (demonstration of behaviour, instructions on how to perform behaviour, information about health consequences). Overall, MARS scores ranged between 2.25-4.17. Conclusion There is a lack of high-quality mobile apps which can be tailored to support PA for people with RA. Whilst all included apps incorporated some BCTs previously identified as effective for PA promotion, only one, high quality app provided PA recommendations which broadly aligned with public health PA guidelines but offered limited options for tailoring PA or exercise. Collaboration between adults with RA, clinicians, and app developers is needed to produce evidence informed apps, with embedded BCTs, which can be tailored to support people with RA achieve PA recommendations.
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