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

Completed · Not applicable

Conditions studied: Osteoarthritis, Knee

In brief

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.

Key facts

Study ID
NCT03956004
Run by
University of Texas at Austin
People needed
145
Starts
2019-03-28
Expected to finish
2020-01-30
Last updated by the study team
2020-08-17

Who can join

Age: 45 and older, up to 89. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.