Investigating Patient Satisfaction With Smart Knee Implants
This study is looking at how satisfied patients are with a "smart" knee implant after total knee replacement surgery (total knee arthroplasty, TKA). The smart knee implant helps track your recovery remotely. We want to see if using this smart implant can reduce the number of clinic visits you need after surgery, while still keeping you satisfied and improving your recovery. We're also exploring if your neighborhood's resources affect your recovery, and if your self-reported pain and function match your actual physical improvement. This study is for people aged 18 and older who are having a knee replacement with either the smart implant or standard care. The study status is currently unclear.
- Study design
- This is an interventional study planning to enroll 150 participants. It compares patients receiving a smart knee implant to those receiving standard-of-care.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your satisfaction and outcomes will be measured from enrollment up to 1 year after your knee replacement surgery.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Investigating Patient Satisfaction With Smart Knee Implants
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Sara Wallace, MD · PRINCIPAL_INVESTIGATOR · The University of Chicago Department of Orthopaedic Surgery
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Patient-Reported Outcomes and SatisfactionFrom enrollment to 1 year after arthroplasty
The patients in both arms will complete surveys on their subjective pain and function as well as their subjective satisfaction with the knee arthroplasty preparation, surgery, and recovery. The investigators will compare these surveys between the experimental group and the standard-of-care group at select time points.