UCSF

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).