The Impact of a Technology-enabled Decision Aid, for Patients With Hip and Knee Osteoarthritis on Decision Quality, Level of Shared Decision-making, Patient Satisfaction and Magnitude of Limitations

This study evaluates a technology-enabled decision aid that provides evidence-based education (i.e. on understanding the condition, treatment options and comparisons, patient values and question \& answer quiz) and personalized, quantifiable benefit-risk ratio alongside the level of potential benefit in relation to joint stiffness, joint pain and quality of life. The study will be performed in the setting of an integrated care system providing patient-centered care for hip and knee osteoarthritis over the full cycle of care. The impact of a technology-enabled decision aid incorporating predictive analytics with machine learning capabilities on decision quality, activation, experience \& limitations of patients in this setting is relatively unknown.