Personalized Tool + Interventions for Knee Arthritis Surgery
Trial Summary
The trial information does not specify whether you need to stop taking your current medications.
Research shows that using personalized prediction tools can help identify which patients are more likely to have successful outcomes after knee replacement surgery. These tools use patient-reported measures and other factors to predict recovery, which can guide doctors in making better treatment decisions.
12345The research does not provide specific safety data for the personalized tool and interventions for knee arthritis surgery, but it focuses on predicting outcomes and improving patient satisfaction, which suggests a focus on enhancing patient care.
13467This treatment is unique because it uses a personalized prediction tool to forecast outcomes for knee surgery, helping doctors and patients make better decisions. It focuses on individual patient data to predict who might have poor results, unlike standard treatments that don't tailor predictions to each person.
34589Eligibility Criteria
This trial is for adults aged 18-80 who speak English, are scheduled for a unilateral primary total knee arthroplasty (TKA), and are at higher risk of dissatisfaction post-surgery. They must be willing to sign an informed consent form and able to follow the study's protocol.Inclusion Criteria
Trial Timeline
Screening
Participants are screened for eligibility to participate in the trial
Pre-surgery Intervention
Patients undergo mental health screening and physical therapy pre-surgery assessments/interventions
Surgery and Immediate Postoperative Care
Patients undergo TKA surgery and follow the standardized TKA Care Pathway
Follow-up
Participants are monitored for satisfaction and outcomes at 1 year post-surgery
Participant Groups
Personalized outcome prediction tool + targeted interventions is already approved in United States, European Union for the following indications:
- Improving satisfaction in total knee arthroplasty patients
- Predicting outcomes in TKA patients
- Improving satisfaction in total knee arthroplasty patients
- Predicting outcomes in TKA patients