The objective of this study was (1) To use nonrandomized data from patients with knee osteoarthritis to create models that predict patient-specific outcomes of different treatment options; (2) To use the models to develop software to help identify patients who may be eligible to enroll in randomized controlled trials (RCTs).
Project page: Developing Software to Predict Patient Responses to Knee Osteoarthritis Treatments and to Identify Patients for Possible Enrollment in Randomized Controlled Trials
Principal Investigator: Harry P. Selker, MD, MSPH
Organization: Tufts Medical Center
Original project title: A Method for Patient-Centered Enrollment in Comparative Effectiveness Trials: Mathematical Equipoise
HSRProj ID: 20143597
To cite this document, please use: Selker HP, Daudelin DH, Ruthazer R, et al. 2019. Developing Software to Predict Patient Responses to Knee Osteoarthritis Treatments and to Identify Patients for Possible Enrollment in Randomized Controlled Trials. Washington, DC: Patient-Centered Outcomes Research Institute (PCORI). https://doi.org/10.25302/9.2019.ME.130602327
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