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

  • Author(s): Bendich, Ilya
  • Chung, Chris
  • Hwang, Kevin
  • Patterson, Joseph
  • Mulvihill, Jeff
  • Barry, Jeff
  • Bini, Stefano
  • et al.

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).

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