Prevention of Psoriatic Arthritis Inflammation Through Digital Care: A Feasibility Mixed-Methods Study

The study will enrol 72 adults with PsA (18 participants per country) across Portugal, the Netherlands, Greece, and the United Kingdom. Participants will be followed for 12 months, including a 1-month baseline monitoring period without intervention, followed by an 11-month intervention period during which participants will use the iPROLEPSIS digital health ecosystem. The iPROLEPSIS ecosystem integrates multiple digital health tools designed to support lifestyle management, self-monitoring, and patient engagement in PsA care. Participants will use the miPROLEPSIS app for active and passive data collection and personalised lifestyle recommendations related to diet and physical activity; biAURA for sleep and stress management using binaural beats; iPROLEPSIS Games to promote physical and emotional well-beingthrough serious games; and the miPROLEPSIS Joint Landmarker app for video-based functional assessments. The ecosystem will also integrate data from a Garmin vívoactive 5 smartwatch and wireless earbuds. Healthcare professionals involved in participant follow-up will access a dedicated clinical dashboard to support monitoring and clinical management. The primary objective of this feasibility study is to evaluate the usability of the iPROLEPSIS digital health ecosystem among patients with PsA and healthcare professionals using the System Usability Scale (SUS) and the eHealth UsaBility Benchmarking Instrument (HUBBI). Secondary objectives include assessing participant retention, acceptability of study participation, engagement with the digital health tools, adherence to study procedures, and identifying barriers and facilitators influencing the implementation of the digital health programme in routine clinical practice.The study will also generate preliminary evidence regarding potential changes in clinical and patient-reported outcomes associated with the use of the iPROLEPSIS ecosystem and include a preliminary budget impact analysis to inform the design of a future larger-scale clinical trial.