Novel Strategies for Personalized Clinical Decisions in Knee Arthroplasty
NCT ID: NCT05900453
Last Updated: 2023-09-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
675 participants
OBSERVATIONAL
2018-05-15
2022-12-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Usual Care TKA rehabilitation
This cohort of patients received Usual Care TKA rehabilitation at two outpatient physical therapy clinics in the Greenville, South Carolina, USA area. These patients received treatment guided by their clinician's professional judgment and the clinic's best practice guidelines for TKA.
No interventions assigned to this group
CDS tool TKA rehabilitation
This cohort of patients received TKA rehabilitation at the same two outpatient physical therapy clinics in the Greenville, South Carolina, USA area. These patients also received treatment guided by their clinician's professional judgement and the clinic's best practice guidelines. Additionally, this cohort of patients was exposed to the CDS tool (i.e., clinicians used the tool to view personalized information about the patient at least once during the patient's episode of care).
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Patient underwent postoperative TKA rehabilitation at one of the two participating physical therapy clinics in the Greenville, SC area
Exclusion Criteria
* Patients whose total episode of care length in outpatient physical therapy was \< 21 days
* Patients who attended \< 3 outpatient physical therapy visits throughout their episode of care
* Outcomes collected \> 6 months after surgery (except for visit utilization, which can include data up to 1 year after surgery)
* Patients who were not exposed to the CDS tool, but were treated by a clinician who was trained to use the CDS tool
40 Years
ALL
No
Sponsors
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ATI Physical Therapy
UNKNOWN
University of Colorado, Denver
OTHER
Responsible Party
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Principal Investigators
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Jennifer E Stevens-Lapsley, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Colorado, Denver
Locations
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ATI Physical Therapy
Greenville, South Carolina, United States
Countries
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Other Identifiers
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18-1246
Identifier Type: -
Identifier Source: org_study_id
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