ROAMM: A customizable and interactive smartwatch platform for patient-generated health data

Karnati, Yashaswi; Zapata, Ruben; McConnell, Matthew; Reddy, R.; Regalla, Varun; Thakkar, Aseem; Alpert, Jordan; Mendoza, Tonatiuh; Rashidi, Parisa; Mardini, Mamoun; Marsiske, Michael; Gill, Thomas M.; Manini, Todd M.; Ranka, Sanjay

doi:10.1145/3474124.3474144

Cited by 4 publications

(1 citation statement)

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“…In this study, we compared the GPS features extracted from the raw GPS coordinates collected from a custom-designed smartwatch platform called Real-time Online Assessment and Mobility Monitor (ROAMM) 34 to self-reported LSM using the UAB-LSA questionnaire. (Figure 1) provides an overview of the design of the study.…”

Section: Introductionmentioning

confidence: 99%

Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults

Bai

Zapata

Karnati

et al. 2022

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Assessments of Life-space Mobility (LSM) evaluate the locations of movement and their frequency over a period of time to understand mobility patterns. Advancements in and miniaturization of GPS sensors in mobile devices like smartwatches could facilitate objective and high-resolution assessment of life-space mobility. The purpose of this study was to compare self-reported measures to GPS-based LSM extracted from 27 participants (44.4% female, aged 65+ years) who wore a smartwatch for 1-2 weeks at two different site locations (Connecticut and Florida). GPS features (e.g., excursion size/span) were compared to self-reported LSM with and without an indicator for needing assistance. Although correlations between self-reported measures and GPS-based LSM were positive, none were statistically significant. The correlations improved slightly when needing assistance was included, but statistical significance was achieved only for excursion size (r=0.40, P=0.04). The poor correlations between GPS-based and self-reported indicators suggest that they capture different dimensions of life-space mobility.

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Section: Introductionmentioning

confidence: 99%