Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform
Initiatives
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The primary objective of this study was to validate the feasibility of a remote patient monitoring (RPM) system in terms of the frequency of data interruptions and patient acceptance. Second, we report pilot data for (1) mobility; (2) knee range of motion, (3) patient-reported outcome measures (PROMs); (4) opioid use; and (5) home exercise program (HEP) compliance.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2018
- End Year
- 2019
- Funding
- This project was supported by the Orthopedic Research and Education Foundation (Grant 18-047).
Design
- Study design
- Clinical trial cohort
Marker Paper
Ramkumar PN, Haeberle HS, Ramanathan D, et al. Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform. J Arthroplasty. 2019;34(10):2253‐2259. doi:10.1016/j.arth.2019.05.021
PUBMED 31128890
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 25
- Number of participants with biosamples
Access
Availability of data and biosamples
Data | |
Biosamples | |
Other |
Timeline
patients with osteoarthritis
A 25 patients undergoing primary TKA for osteoarthritis was enrolled.
Selection Criteria
- Minimum age
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60
- Maximum age
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80
- Newborns
- Twins
- Countries
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- United States of America
- Ethnic Origin
-
- Health Status
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- patients with osteoarthritis
Recruitment
- Sources of recruitment
-
- Clinical patients
Number of participants
- Number of participants
- 25
- Number of participants with biosamples
Data Collection Event
Patients downloaded the RPM mobile application preoperatively to collect baseline activity and PROMs data, and the wearable knee sleeve was paired to the smartphone during admission. The following was collected up to 3 months postoperatively: mobility (step count), range of motion, PROMs, opioid consumption, and HEP compliance.
- Start Date
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2018-07
- End Date
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2019-05
- Data sources
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Mobile data collection
- Smartphone
- Smartphone apps
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Mobile data collection