Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring After Hip and Knee Replacement

NCT ID: NCT06157190

Last Updated: 2023-12-05

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

1144 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-09-01

Study Completion Date

2023-10-30

Brief Summary

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This study focuses on the impact of osteoarthritis (OA), a leading cause of disability among older adults, with the hip and knee joints being particularly affected. The rise in OA prevalence is attributed to factors such as aging and increasing obesity rates. Post-surgery rehabilitation, especially after total hip or knee replacement, traditionally relies on supervised clinical assessments, which have limitations in capturing real-world experiences. The study aims to explore the integration of technology-assisted rehabilitation, utilizing wearable sensors and mobile health technologies, for unsupervised, real-world assessments. The use of digital biomarkers collected from these technologies offers continuous, objective measurements of patients' biological and physiological data. The research employs a dataset from moveUP digital therapies, including patients who underwent total knee arthroplasty, utilizing a digital application for at least six weeks post-surgery.

Key objectives include evaluating the potential of automated unsupervised assessments in providing a holistic understanding of patient progression during rehabilitation. The study utilizes mixed models for statistical analysis, examining outcomes such as steps per day, 6-minute walk test, and peak 1 minute. Results indicate differences in recovery trajectories between hip and knee patients, with variations based on gender and type of prosthesis.

Detailed Description

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Data Source:

This retrospective observational study utilized anonymized and depersonalized data from the moveUP digital therapies database (moveUP solution, Brussels, Belgium). The database encompasses information from patients who underwent hip and knee arthroplasty across Belgium, France, and the Netherlands. A cohort of 1144 patients who underwent elective total knee arthroplasty was selected based on their use of the digital application for a minimum of 6 weeks post-surgery, with completion of preoperative patient-reported outcome measures. Written informed consent for the scientific use of anonymized data was obtained from each patient. Regulatory guidelines were adhered to, and no institutional review board (IRB) approval was required, given the use of anonymized patient-level data.

Recording Device and Outcomes:

All data collection occurred through the moveUP® application, a registered medical device operating on a smart virtual platform designed for digital monitoring. This platform comprises a patient-facing mobile application and a web-based dashboard utilized by care providers. Objective data, including the number of steps per day and steps per minute, were collected using a commercial activity tracker (Garmin Vivofit 4) worn 24/7 by patients throughout the rehabilitation period. Patient-reported outcomes, such as the Oxford Knee Score, Forgotten Joint Score (FJS), Hip Osteoarthritis Outcome score (KOOS), Knee Osteoarthritis Outcome score (KOOS), UCLA Activity Scale (UCLA), and the EuroQol 5-Dimension (EQ5D), were measured before surgery and at various intervals up to two years post-surgery through the app.

Statistical Analysis:

We analyzed outcomes using mixed models for both knee and hip patients, treating values from each day as repeated measures. The model incorporated fixed effects related to recovery, days after surgery, age, gender, and the interaction between recovery and days. Our analysis employed fixed effects for recovery, days after surgery, and their interaction, with baseline measures normalized for comparability. Time needed to differentiate between recovery statuses was computed along with associated 95% confidence intervals. Statistical analyses were conducted at a significance level of 0.05 using RStudio (version 2023.09.0) with R version 4.4.2 and the LME4 package for mixed effect models.

Conditions

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Osteoarthritis Osteoarthritis, Hip

Keywords

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wearable technology rehabilitation monitoring

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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patients with knee replacement

The knee replacement patient cohort in this study consists of individuals who underwent Total Knee Arthroplasty (TKA) and utilized the moveUP digital application for at least six weeks post-surgery. The criteria include:

Total Knee Arthroplasty (TKA): Individuals who had surgical intervention for total knee replacement.

moveUP Digital Application Usage: Patients actively engaged with the moveUP digital therapies platform, using the associated application for rehabilitation. The application aids and monitors the recovery process.

Post-Surgery Duration of Six Weeks: To be part of the study, patients in this cohort used the digital application for a minimum of six weeks after knee replacement surgery. This duration aims to evaluate the effectiveness of technology-assisted rehabilitation during the critical early recovery phase.

Unsupervised monitoring

Intervention Type OTHER

This study introduces technology-assisted rehabilitation for patients post-total hip or knee arthroplasty, utilizing wearable sensors and mobile health tech. The intervention includes:

Technology-Assisted Rehabilitation: Utilizing wearable sensors and mobile health technologies, the intervention promotes unsupervised, real-world assessments after total hip or knee replacement. It shifts from traditional supervised clinical assessments. The moveUP digital therapies platform, featuring a dedicated mobile app, acts as the primary interface for patients in rehabilitation.

Digital Biomarkers: The intervention involves gathering digital biomarkers from wearable sensors and mobile health tech. These biomarkers offer continuous, objective measurements of patients' biological and physiological data. Examples include mobility and activity level data.

patients with hip replacement

The hip replacement cohort likely comprises individuals who had total hip arthroplasty. Similar to the knee replacement cohort, inclusion criteria may involve using the moveUP digital application for at least six post-surgery weeks. Characteristics include:

Total Hip Arthroplasty (THA): Patients underwent surgical intervention for total hip replacement.

moveUP Digital Application Usage: Cohort members actively engaged with the moveUP digital therapies platform, utilizing the associated app for post-surgery rehabilitation.

Post-Surgery Duration of Six Weeks: To join the study, patients likely used the digital application for a minimum of six weeks post-hip replacement surgery. This period helps assess technology-assisted rehabilitation effectiveness during early recovery.

Unsupervised monitoring

Intervention Type OTHER

This study introduces technology-assisted rehabilitation for patients post-total hip or knee arthroplasty, utilizing wearable sensors and mobile health tech. The intervention includes:

Technology-Assisted Rehabilitation: Utilizing wearable sensors and mobile health technologies, the intervention promotes unsupervised, real-world assessments after total hip or knee replacement. It shifts from traditional supervised clinical assessments. The moveUP digital therapies platform, featuring a dedicated mobile app, acts as the primary interface for patients in rehabilitation.

Digital Biomarkers: The intervention involves gathering digital biomarkers from wearable sensors and mobile health tech. These biomarkers offer continuous, objective measurements of patients' biological and physiological data. Examples include mobility and activity level data.

Interventions

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Unsupervised monitoring

This study introduces technology-assisted rehabilitation for patients post-total hip or knee arthroplasty, utilizing wearable sensors and mobile health tech. The intervention includes:

Technology-Assisted Rehabilitation: Utilizing wearable sensors and mobile health technologies, the intervention promotes unsupervised, real-world assessments after total hip or knee replacement. It shifts from traditional supervised clinical assessments. The moveUP digital therapies platform, featuring a dedicated mobile app, acts as the primary interface for patients in rehabilitation.

Digital Biomarkers: The intervention involves gathering digital biomarkers from wearable sensors and mobile health tech. These biomarkers offer continuous, objective measurements of patients' biological and physiological data. Examples include mobility and activity level data.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Persons with Hip or Knee Replacement surgery
* minimum 18 years of age
* Patient has emailadres
* use of application for at least 6 weeks postop
* completion of preoperative questionnaire

Exclusion Criteria

* Patient younger than 18 years of age
* no emailadres
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hasselt University

OTHER

Sponsor Role collaborator

PXL University College

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Move Up

Brussels, Brussels Capital, Belgium

Site Status

Countries

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Belgium

Other Identifiers

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PXLuc

Identifier Type: -

Identifier Source: org_study_id