Predicting mobility and daily living independence after a hip fracture
Official title: Mobility and Activity of Daily Living Outcomes After a Hip Fracture: Variabeles for Expectation.
Run by JointResearch · NCT07556263 · Data updated 2026-11-12
Try a machine‑learning tool to predict three‑month mobility and ability to perform everyday activities for adults after a hip fracture.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1200 (estimated) |
| Sponsor | JointResearch Academic / other |
| Locations | 1 site (Amsterdam) |
| Status | Recruiting |
| Started | January 1, 2016 |
| Main results expected | December 31, 2025 |
| Study ends | December 31, 2027 |
| Registry record updated | June 4, 2026 |
| Trial ID | NCT07556263 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults over 18 who have sustained a hip fracture and consent to use of their medical data are the intended participants.
✕Probably not a fit
Patients who do not give permission for data use or whose clinical profiles differ markedly from the enrolled population may not receive accurate predictions.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
An observational cohort at OLVG Hospital will use routinely collected clinical, surgical, and demographic data from adults with hip fractures to train a machine‑learning model. The model will aim to predict mobility and independence in activities of daily living three months after the fracture using baseline and perioperative variables. Patients who do not consent to data use are excluded, and outcomes will be measured at three months using standardized mobility and ADL assessments. The model's performance will be validated within the collected cohort and reported with standard prediction metrics.
Why it matters
Potential benefit: If successful, the model could give patients and clinicians personalized predictions to guide treatment decisions and rehabilitation planning.
How similar studies have gone: Machine‑learning models have been used successfully to predict mortality after hip fracture, but models specifically predicting post‑surgical mobility and ADL recovery are limited and represent a more novel application.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patient has been treated for a hip fracture in OLVG hospital betweek 01-01-2016 and 31-12-2025 * Patient was 18 years or older at the time of the injury Exclusion Criteria: * The patient does not grant permission for the use of their data for studies
Where it's running
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OLVG hospital
Amsterdam, Netherlands Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.