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

doi:10.1016/j.artd.2019.01.005

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

Division of Reconstruction and Hip Preservation

Research output: Contribution to journal › Article › peer-review

9 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 language	English
Pages (from-to)	61-63
Number of pages	3
Journal	Arthroplasty Today
Volume	5
Issue number	1
DOIs	https://doi.org/10.1016/j.artd.2019.01.005
State	Published - Mar 2019

Keywords

Arthroplasty
Outcome
Patient-reported outcome
Sensors
Technology

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

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).",

keywords = "Arthroplasty, Outcome, Patient-reported outcome, Sensors, Technology",

author = "Ilya Bendich and Chris Chung and Kevin Hwang and Joseph Patterson and Jeff Mulvihill and Jeff Barry and Stefano Bini",

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AU - Patterson, Joseph

AU - Mulvihill, Jeff

AU - Barry, Jeff

AU - Bini, Stefano

PY - 2019/3

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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

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Keywords

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