Hip fractures in especially older adults cause severe clinical and functional impacts. Despite improved surgical care, one year mortality remains 14-30%, and fewer than half of the survivors regain their pre-fracture functional status. After a hip fracture, patients are primarily concerned with what they will be able to do in daily life. Wihout accurate predictions of mobility and Activities of Daily Life (ADL) independence, it is difficult to set realistic expectations and make appropriate decisions regarding treatment and rehabilitation. While there have been advancements in developing predictive models for mortality following hip fractures, there is a notable gap in models focused on predicting functional recovery. This study aims to develop and validate a machine learning-based model that can predict mobility and ADL independence three months after obtaining a hip fracture.
Age range
18 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
"Estimated mobility 3 months, after obtaining a hip fracture" "Estimated ADL independence 3 months after obtaining a hip fracture"
Timeframe: ADL independence and mobility 3 months after a hip fracture