Novel Strategies for Personalized Clinical Decisions in Knee Arthroplasty
NCT05900453 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 675
Last updated 2023-09-28
Summary
This study will compare the postoperative recovery of two patient cohorts who attended outpatient physical therapy at two clinics in the Greenville, South Carolina area. The Usual Care cohort received care according to each clinic's pre-existing care guidelines. The CDS Cohort received care informed by a new clinical decision support (CDS) tool.
Conditions
- Total Knee Replacement
Interventions
- OTHER
-
Clinical decision support (CDS) tool
The web-based clinical decision support (CDS) tool uses patient information (e.g., age, sex, BMI, perioperative status) to create personalized predictions of recovery following knee replacement. The CDS tool predicts range of motion, physical function, and pain recovery. Clinicians can use these predictions to (1) inform patients of their expected prognosis, (2) monitor patients' recovery against their predicted recovery, and (3) tailor treatments according to individual patients' needs. Clinicians were provided with basic training for how to use the CDS tool, and were given examples of how to integrate it into clinical care. However, the CDS tool did not dictate any treatment decisions; clinicians were free to use the CDS tool at their discretion to inform decision making.
Sponsors & Collaborators
-
ATI Physical Therapy
collaborator UNKNOWN -
University of Colorado, Denver
lead OTHER
Principal Investigators
-
Jennifer E Stevens-Lapsley, PhD · University of Colorado, Denver
Eligibility
- Min Age
- 40 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-05-15
- Primary Completion
- 2022-12-30
- Completion
- 2022-12-30
Countries
- United States
Study Locations
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