Individual Study / Ramkumar et al.; J Arthroplasty. 2019

Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform

Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform

Initiatives -
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
  • Individuals

Number of participants

Number of participants
25
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Population

A 25 patients undergoing primary TKA for osteoarthritis was enrolled.
Selection Criteria
Minimum age
60
Maximum age
80
Newborns
Twins
Countries
  • United States of America
Ethnic Origin
Health Status
  • 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
2018-07
End Date
2019-05
Data sources
  • Mobile data collection
    • Smartphone
    • Smartphone apps