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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
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470351/ https://www.ncbi.nlm.nih.gov/pubmed/31020024 http://dx.doi.org/10.1016/j.artd.2019.01.005 |
Sumario: | 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). |
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