Impact of Sensor Technology in Knee OA

NCT ID: NCT05222503

Last Updated: 2022-02-03

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

UNKNOWN

Clinical Phase

NA

Total Enrollment

60 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-08-19

Study Completion Date

2022-07-14

Brief Summary

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OBJECTIVES:

Physical activity has been established as an important component of rehabilitation for knee osteoarthritis (OA), and is often guided by a physical therapist.(1) Physical therapy for knee OA typically involves 1-3 sessions with a licensed physical therapist per week, for up to 12 weeks. These sessions can take a lot of time and effort for subjects, particularly when travel times are considered. Remote patient monitoring is an emerging treatment method which can help to reduce the need for in-person treatment sessions.

Remote patient monitoring has been tested in subjects after a total knee arthroplasty, and initial results show that subjects find the process motivating and engaging.(2) This process has not been tested in individuals with symptomatic knee OA. Prior studies have shown that personalized internet based programs are effective at improving function in individuals with knee OA(3), but the effectiveness of these programs with remote patient monitoring is unknown.

One example of current wearable technology that can be utilized for remote patient monitoring is the Opum (OPUM) Digital KneeĀ® (ODK) modular orthotic. The ODK utilizes a wearable device in a knee brace which relays real time information back to the subject and physical therapist via their mobile phone. The ODK can provide information about sagittal and frontal plane knee kinematics, sagittal plane knee range of motion, time spent performing various daily activities, time spent exercising, overall load on the knee joint, and progress over time in each of these metrics. This device has been previously tested in subjects after an ACL reconstruction, but has yet to be tested in subjects with knee osteoarthritis.

The objective of this study is to assess the effect of the ODK technology in a medial knee unloader brace with remote patient monitoring on pain, function, and quality of life in individuals with knee OA. This study will contain two groups: A control group receiving a medial unloader brace and a personalized home exercise program, and an intervention group which will receive an ODK in a medial off-loader brace, and a home exercise program with remote patient monitoring.

The hypothesis is that subjects who wear the knee brace with the ODK with remote patient monitoring will have a greater reduction in pain and increase in quality of life than those who receive the brace with a home exercise program.

Detailed Description

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BACKGROUND:

Knee osteoarthritis (OA) is a significant problem in the adult population. With a prevalence of 10-13% in individuals over age 60,(4) knee OA results in a significant reduction in quality of life and increased economic costs to both the individual with knee OA and the medical system as a whole.

Exercise is a key component of management of knee OA, resulting in decreased pain and increased function.(3) Potential barriers to exercise in subjects with knee OA is lack of motivation or professional support.(5) Both of these barriers can be addressed with remote patient monitoring. Remote patient monitoring will allow a physical therapist to monitor the activity levels and progress of each subject, and make adjustments throughout the duration the rehab program.

Wearable technology has begun to disrupt conventional methods of healthcare delivery. Wearable technology can allow for remote patient monitoring and self monitoring for subjects with OA. The ODK is a novel wearable device which has previously been tested in subjects with anterior cruciate ligament (ACL) reconstructions, but has not yet been tested in individuals with knee OA. The ODK allows for tracking of knee range of motion, frontal plane kinematics, sagittal plane kinematics, exercise progress, time spent walking/standing/sitting/kneeling, and time spent sedentary. These measures can help to provide useful information to the patient on potential mitigating factors in their knee OA and provide real time feedback about joint kinematics.

This study will investigate the effects of the ODK used in a medial off-loader brace with remote patient monitoring. This randomized control trial will have 2 groups: A control group receiving a medial unloader brace and a personalized home exercise program, and an intervention group which will receive an ODK in a medial off-loader brace, and a home exercise program with remote patient monitoring. These subjects will be followed for 12 weeks and assessed for changes in pain, function, and quality of life.

Conditions

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Knee Osteoarthritis

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Control group: Medial off-loader brace and home exercise program

The subject will receive a traditional medial off-loader brace and a take-home, self-guided exercise program. The subject will be instructed how to wear the brace. The subject will be instructed to incrementally increase wear time of the brace in the first week to get accustomed to the brace to reach a minimum of 6 hours per day after the first week.

Group Type ACTIVE_COMPARATOR

Knee Brace

Intervention Type DEVICE

Knee Brace without OPUM Digital Knee

2. Intervention group: Medial off-loader brace with OPUM Digital Knee and Remote Patient Monitoring

The same off-loader brace as above but with the ODK sensor will be provided. The subject will be instructed how to wear the brace and sensor. The patient will be instructed to incrementally increase wear time in the first week to get accustomed to the brace to reach a minimum of 6 hours per day after the first week. Using the sensor they will be able to keep track of their exercise frequency, range of motion (ROM), and kinematics in the OPUM app on their mobile phone. Education/resources will also be provided to the subjects via modules in the mobile app. The subjects will be instructed how to use the app as well.

Patients data will be monitored remotely for 20mins per patient per month in the sensor group. Programs will be updated as necessary based on data.

Group Type EXPERIMENTAL

Knee Brace + OPUM Digital Knee

Intervention Type DEVICE

Knee Brace + OPUM Digital Knee

Interventions

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Knee Brace + OPUM Digital Knee

Knee Brace + OPUM Digital Knee

Intervention Type DEVICE

Knee Brace

Knee Brace without OPUM Digital Knee

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Pain score \> 12.5 KOOS
* BMI \< 35
* Own a compatible mobile phone?
* Able to operate Bluetooth technology?
* Diagnosis of unilateral femoro-tibial knee OA

Exclusion Criteria

* History of lower extremity total joint arthroplasty? (in affected knee)
* Current uncontrolled cardiovascular disease?
* Other pathology? Ex: Parkinson's, stroke, multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), or other knee diseases (Paget, osteonecrosis, etc.)
Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Shirley Ryan AbilityLab

OTHER

Sponsor Role collaborator

OPUM Technologies US LTD

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Prakash Jayabalan, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Shirley Ryan AbilityLab; Northwestern University Feinberg School of Medicine

Locations

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Shirley Ryan AbilityLab

Chicago, Illinois, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Rose Darcy, BS

Role: CONTACT

818-301-9213

Andrew McNaughton

Role: CONTACT

818-301-9229

Facility Contacts

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Rose Darcy, BS

Role: primary

818-301-9213

References

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Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med. 2010 Aug;26(3):355-69. doi: 10.1016/j.cger.2010.03.001.

Reference Type BACKGROUND
PMID: 20699159 (View on PubMed)

Bhatia D, Bejarano T, Novo M. Current interventions in the management of knee osteoarthritis. J Pharm Bioallied Sci. 2013 Jan;5(1):30-8. doi: 10.4103/0975-7406.106561.

Reference Type RESULT
PMID: 23559821 (View on PubMed)

Ramkumar PN, Haeberle HS, Ramanathan D, Cantrell WA, Navarro SM, Mont MA, Bloomfield M, Patterson BM. Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform. J Arthroplasty. 2019 Oct;34(10):2253-2259. doi: 10.1016/j.arth.2019.05.021. Epub 2019 May 16.

Reference Type RESULT
PMID: 31128890 (View on PubMed)

Bosomworth NJ. Exercise and knee osteoarthritis: benefit or hazard? Can Fam Physician. 2009 Sep;55(9):871-8.

Reference Type RESULT
PMID: 19752252 (View on PubMed)

Kanavaki AM, Rushton A, Efstathiou N, Alrushud A, Klocke R, Abhishek A, Duda JL. Barriers and facilitators of physical activity in knee and hip osteoarthritis: a systematic review of qualitative evidence. BMJ Open. 2017 Dec 26;7(12):e017042. doi: 10.1136/bmjopen-2017-017042.

Reference Type RESULT
PMID: 29282257 (View on PubMed)

Other Identifiers

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STU00214887

Identifier Type: -

Identifier Source: org_study_id

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