J Knee Surg 2024; 37(10): 757-763
DOI: 10.1055/a-2315-8110
Original Article

Stepping Up Recovery: Integrating Patient-reported Outcome Measures and Wearable Technology for Rehabilitation Following Knee Arthroplasty

Ignacio Pasqualini
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
Alison Klika
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
Atul F. Kamath
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
Carlos A. Higuera-Rueda
2   Levitetz Department of Orthopaedic Surgery, Cleveland Clinic Florida, Weston, Florida
,
Matthew E. Deren
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
Trevor G. Murray
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
,
1   Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio
3   Department of Biomedical Engineering, Cleveland Clinic Foundation, Cleveland, Ohio
› Author Affiliations
Preview

Abstract

Improvement after knee arthroplasty (KA) is often measured using patient-reported outcome measures (PROMs). However, PROMs are limited due to their subjectivity. Therefore, wearable technology is becoming commonly utilized to objectively assess physical activity and function. We assessed the correlation between PROMs and step/stair flight counts in total (TKA) and partial knee arthroplasty (PKA) patients.

Analysis of a multicenter, prospective, longitudinal cohort study investigating the collection of average daily step and stair flight counts, was performed. Subjects (N = 1,844 TKA patients and N = 489 PKA patients) completed the Knee Injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS JR) and provided numerical rating scale pain scores pre- and postoperatively. Only patients who reported living in a multilevel home environment (N = 896 TKA patients and N = 258 PKA patients) were included in analysis of stair flight counts. Pearson correlation coefficients were calculated to determine correlations between variables.

Among TKA patients, pain scores demonstrated a negative correlation to mean step counts at preoperative (r = −0.14, p < 0.0001) and 1-month follow-up (r = −0.14, p < 0.0001). Similar negative correlations were true for pain and stair flight counts at preoperative (r = −0.16, p < 0.0001) and 1-month follow-up (r = −0.11, p = 0.006). KOOS JR scores demonstrated weak positive correlations with mean step counts at preoperative (r = 0.19, p < 0.0001) and 1-month postoperative (r = 0.17, p < 0.0001). Similar positive correlations were true for KOOS JR scores and stair flight counts preoperatively (r = 0.13, p = 0.0002) and at 1-month postoperatively (r = 0.10, p = 0.0048). For PKA patients, correlations between pain and KOOS JR with step/stair counts demonstrated similar directionality.

Given the correlation between wearable-generated data and PROMs, wearable technology may be beneficial in evaluating patient outcomes following KA. By combining subjective feedback with the objective data, health care providers can gain a holistic view of patients' progress and tailor treatment plans accordingly.



Publication History

Received: 12 March 2024

Accepted: 23 April 2024

Accepted Manuscript online:
27 April 2024

Article published online:
13 May 2024

© 2024. Thieme. All rights reserved.

Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA