Improving Diagnostic Efficiency for Knee Osteoarthritis with the Knee Intake Patient Survey (KIPS)
Jonathan Liu1, Mohammad Daher1, Tucker Callanan1
1Department of Orthopedics, Brown University, Providence RI.
Objectives:
Knee Osteoarthritis (OA) is one of the most frequently encountered conditions in orthopedic practice. This study aimed to validate the Knee Intake Patient Survey (KIPS), a short-form questionnaire designed to assist in the initial diagnosis and treatment stratification for knee OA.
Methods:
Patient intake survey results from a single adult reconstruction clinic were retrospectively analyzed alongside clinical diagnoses and treatment recommendations. The KIPS total score and individual question responses were assessed for their correlation with a diagnosis of knee OA versus other knee pathologies, as well as treatment decisions.
Results:
Higher total KIPS scores were significantly associated with a diagnosis of knee OA and increased likelihood of surgical recommendation, while lower scores correlated with alternative diagnoses (e.g., patellofemoral arthritis or knee internal derangement) and physical therapy recommendations. A KIPS threshold score of ≥10 maximized the specificity (94.4%) for diagnosing knee OA.
Conclusions:
The KIPS questionnaire effectively differentiates knee OA from other pathologies and stratifies patients for treatment recommendations. Incorporating validated tools like KIPS may enhance clinical efficiency and support future AI-driven diagnostic models in orthopedic care.
