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Developing Data Driven Algorithms for Predicting The Right Advice at The Right Time in Patients With Hip and Knee OsteoArthritis: The e-cOAch Cross-over Study

NCT07423858 NA RECRUITING

This study aims to learn how symptoms and daily functioning change over time in people with hip or knee osteoarthritis (OA). The goal is to use this information to build computer models that can predict these changes. In the future, these models may help give people with OA the right self-care advice at the right time through a web application called ArtroseCoach. People with OA will take part in this study for one year. Every two weeks, they will fill in online questionnaires covering various aspects of their health and daily functioning, such as pain, daily activities, and participation in life. During the year, participants will be randomly assigned to one of several self-care programs in the ArtroseCoach web app. These programs focus on physical activity, weight management, or sleep. Each program lasts 12 weeks. At four points during the year (weeks 3, 15, 27, and 39), participants will receive one of these programs or no program at all. No one will receive the same program twice. The ArtroseCoach web app provides education about OA, lifestyle advice, and tips to support behavior change. The study will help researchers understand which factors are linked to changes in pain and physical functioning over time. This knowledge will be used to improve the ArtroseCoach and other future tools that support people with OA in managing their condition on their own.

Details

Lead sponsorUMC Utrecht
PhaseNA
StatusRECRUITING
Enrolment600
Start date2025-09-01
Completion2027-02

Conditions

Interventions

Primary outcomes

Countries

Netherlands