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, Chris Chung, Kevin Hwang, Joseph Patterson, Jeff Mulvihill, Jeff Barry, Stefano Bini

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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 R 2 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 (R 2 = 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 (R 2 = 0.4858).

Original languageEnglish
Pages (from-to)61-63
Number of pages3
JournalArthroplasty Today
Volume5
Issue number1
DOIs
StatePublished - Mar 2019

Keywords

  • Arthroplasty
  • Outcome
  • Patient-reported outcome
  • Sensors
  • Technology

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