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ABSTRACT: Background
Knee osteoarthritis (OA) is a common chronic condition that impairs mobility and diminishes quality of life. Despite the proven benefits of exercise therapy and patient education in managing OA pain and functional limitations, these strategies are often underused. To motivate and enhance patient engagement, personalized outcome prediction models can be used. However, the accuracy of existing models in predicting changes in knee pain outcomes remains insufficiently examined.Objective
This study aims to validate existing models and introduce a concise personalized model predicting changes in knee pain from before to after participating in a supervised patient education and exercise therapy program (GLA:D) among patients with knee OA.Methods
Our prediction m
SUBMITTER: Rafiei M
PROVIDER: S-EPMC11951821 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature