| Autor: |
Ilya Bendich, MD, MBA, Chris Chung, BS, Kevin Hwang, MD, Joseph Patterson, MD, Jeff Mulvihill, MD, Jeff Barry, MD, Stefano Bini, MD |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Arthroplasty Today, Vol 5, Iss 1, Pp 61-63 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3441 |
| DOI: |
10.1016/j.artd.2019.01.005 |
| Popis: |
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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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