Changes in prospectively collected longitudinal patient-generated health data are associated with short-term patient-reported outcomes after total joint arthroplasty: a pilot study

Ilya Bendich, MD, MBA; Chris Chung, BS; Kevin Hwang, MD; Joseph Patterson, MD; Jeff Mulvihill, MD; Jeff Barry, MD; Stefano Bini, MD

Arthroplasty Today (Mar 2019)

Changes in prospectively collected longitudinal patient-generated health data are associated with short-term patient-reported outcomes after total joint arthroplasty: a pilot study

Ilya Bendich, MD, MBA,
Chris Chung, BS,
Kevin Hwang, MD,
Joseph Patterson, MD,
Jeff Mulvihill, MD,
Jeff Barry, MD,
Stefano Bini, MD

Affiliations

Ilya Bendich, MD, MBA: Corresponding author. Department of Orthopaedic Surgery, University of California, 500 Parnassus Avenue, MU West 321, Box 0728, San Francisco, CA 94143, USA. Tel.: +1 516 603 6561.; Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Chris Chung, BS: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Kevin Hwang, MD: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Joseph Patterson, MD: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Jeff Mulvihill, MD: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Jeff Barry, MD: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
Stefano Bini, MD: Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA

Journal volume & issue: Vol. 5, no. 1
pp. 61 – 63

Abstract

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Data from wearable technology may correlate with patient-reported outcome measures (PROMs). The objective of this prospective pilot study of 22 total joint arthroplasty patients was to determine if sensor-generated data are predictive of short-term PROMs in total joint arthroplasty. Data on “average daily step count” and “average daily minutes active” were generated by the provided wearable sensor preoperatively and up to 6 weeks postoperatively. PROMs were collected preoperatively and at 6 weeks postoperatively. Changes in PROMs were calculated as “Δ”. Linear regression of the sensor data and PROMs generated R2 values. Changes in the average daily step count from preop to 6-week postop strongly associated with changes in Veterans Rand 12 Physical Component Score (R2 = 0.4532) from preop to 6 weeks. Changes in average daily minutes active from preop to 6-weeks postop were strongly associated with ΔHOOS/KOOS (R2 = 0.4858). Keywords: Technology, Sensors, Outcome, Patient-reported outcome, Arthroplasty

Published in Arthroplasty Today

ISSN: 2352-3441 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Surgery: Orthopedic surgery
Website: https://www.journals.elsevier.com/arthroplasty-today/

About the journal