App-based outcome score for knee and hip replacement patients
Pilot Study: Development of an Outcome Score for Patients With Knee Osteoarthritis and/or Knee Joint Endoprosthesis Using an App Developed at the Clinic for Orthopedics
NA · Technical University of Munich · NCT07212699
This project will test a smartphone app that combines movement tracking and questionnaires to try to predict recovery and long-term outcomes for adults who have or will have knee or hip replacement.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 1250 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Technical University of Munich (other) |
| Locations | 1 site (Munich, Bavaria) |
| Trial ID | NCT07212699 on ClinicalTrials.gov |
What this trial studies
Researchers will use a mobile app (KneeApp) to collect long-term movement data, patient-reported outcome measures (PROMs), and basic demographic and clinical information from adults with knee or hip osteoarthritis and arthroplasty. Data may include retrospective movement patterns up to 10 years before surgery and ongoing follow-up after surgery to capture trajectories over time. Those data will be combined into an outcome score intended to identify pre- and early-postoperative risk factors for pain, functional limitation, and dissatisfaction. The study enrolls German-speaking adults who own a smartphone and is conducted at the Department of Orthopaedics and Sports Orthopaedics, TUM University Hospital Rechts der Isar.
Who should consider this trial
Good fit: German-speaking adults (18+) with knee or hip osteoarthritis or who are planning to or have had total knee or hip arthroplasty and who own a smartphone are the ideal candidates.
Not a fit: People under 18, non-German speakers, those without a smartphone, or individuals unable to use a mobile app (for example due to severe cognitive impairment) are unlikely to benefit from participation.
Why it matters
Potential benefit: If successful, the app could help patients and clinicians identify who is at higher risk of poor pain or functional outcomes after knee or hip replacement so care can be tailored earlier.
How similar studies have performed: While digital health apps for rehabilitation and education around joint replacement exist, using long-term everyday movement data to create predictive outcome scores for arthroplasty is largely novel and not yet proven at scale.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion criteria: * aged 18 years or older * german speaking * signed informed consent * using own smartphone Exclusion criteria: * age below 18 years. * Lack of informed consent * no smartphone * non-German-speaking
Where this trial is running
Munich, Bavaria
- Department of Orthopaedics and Sports Orthopaedics TUM University Hospital Rechts der Isar — Munich, Bavaria, Germany (RECRUITING)
Study contacts
- Study coordinator: Christina Valle, Dr. med
- Email: christina.valle@tum.de
- Phone: +498941406508
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Knee Osteoarthritis, Knee Arthroplasty, Hip Osteoarthritis, Hip Arthroplasty, knee, app, arthroplasty, detection