Clinical trial Recruiting at 1 site Interventional Ages 45 and up

Right-time self-care advice for hip and knee osteoarthritis (e-cOAch)

Official title: 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

Run by UMC Utrecht · NCT07423858 · Data updated 2026-11-12

This project will test whether an online program can use regular symptom and activity reports to predict and deliver the right self-care advice about physical activity, weight, or sleep for people with hip or knee osteoarthritis.

Quick facts

Study typeInterventional
Ages45 Years and up
SexAll
Enrollment600 (estimated)
SponsorUMC Utrecht
Academic / other
Locations1 site (Utrecht)
StatusRecruiting
StartedSeptember 1, 2025
Main results expectedFebruary 2027
Study endsFebruary 2027
Registry record updatedFebruary 20, 2026
Trial IDNCT07423858 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are people aged 45 or older with knee or hip pain for at least 3 months who meet the NICE clinical criteria for osteoarthritis, can read Dutch at B1 level, have a smartphone with internet and are willing to complete regular online assessments.

Probably not a fit

People with systemic inflammatory arthritis, those scheduled for lower-limb joint surgery within a year, those unable to use a smartphone or Dutch-language materials, or those who do not engage with the app are unlikely to benefit from the program.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Over one year, participants with hip or knee osteoarthritis complete online questionnaires every two weeks about pain, activity, sleep and daily functioning. At four scheduled points they are randomly assigned in a crossover design to one of three 12-week self-care programs (physical activity, weight management, or sleep) or to no program, with no program repeated. The study will use these longitudinal data to build and validate data-driven models that aim to predict symptom changes and the best timing for delivering each self-management strategy via the ArtroseCoach web app. Secondary analyses will look for subgroups, predictors of flare-ups, and links between activity, weight, pain and sleep.

Why it matters

Potential benefit: If successful, the models could help deliver personalized self-care advice at times when it is most likely to help, potentially improving symptoms and daily functioning.

How similar studies have gone: Digital self-management programs for osteoarthritis have shown modest benefits, but using high-frequency patient-reported data to predict optimal timing for interventions is a relatively new approach with limited prior evidence.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Have a hip or knee joint that, self-administered through a questionnaire, meets the National

   Institute for Health and Care Excellence clinical criteria for osteoarthritis:
   1. Aged 45 years or over and;
   2. Activity-related pain at the joint and;
   3. Joint morning stiffness that lasts no longer than 30 minutes or no morning stiffness at the joint;
2. History of pain at the joint for at least 3 months;
3. Have access to a smartphone with internet connection and an email address;
4. Able to give informed consent and willing to commit to all study evaluation and assessment procedures
5. Able to read and understand texts in Dutch at B1 level.

Exclusion Criteria:

1. Self-reported systemic arthritis (e.g., rheumatoid arthritis, gout) avoid confounding due to overlapping symptoms;
2. Scheduled for lower limb joint surgery within the next year or underwent lower limb joint surgery (total hip, total knee) the last year as surgical interventions could affect outcomes and confound the assessment of treatment effects.

Where it's running

  • UMC Utrecht
    Utrecht, Netherlands
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.