Feasibility of a Smartwatch Platform to Assess Ecological Mobility: Real-Time Online Assessment and Mobility Monitor

Author:

Smail Emily J1,Alpert Jordan M2,Mardini Mamoun T1,Kaufmann Christopher N1,Bai Chen1,Gill Thomas M3ORCID,Fillingim Roger B4,Cenko Erta5ORCID,Zapata Ruben1,Karnati Yashaswi6,Marsiske Michael7,Ranka Sanjay6,Manini Todd M1

Affiliation:

1. Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida , Gainesville, Florida, USA

2. Department of Advertising, College of Journalism and Communications, University of Florida , Gainesville, Florida, USA

3. Department of Internal Medicine, Yale School of Medicine , New Haven, Connecticut, USA

4. Department of Community Dentistry & Behavioral Science, College of Dentistry, University of Florida , Gainesville, Florida, USA

5. Department of Epidemiology, College of Public Health and Health Professions, University of Florida , Gainesville, Florida, USA

6. Department of Computer & Information Science & Engineering, College of Liberal Arts and Sciences, University of Florida , Gainesville, Florida, USA

7. Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida , Gainesville, Florida, USA

Abstract

AbstractBackgroundEarly detection of mobility decline is critical to prevent subsequent reductions in quality of life, disability, and mortality. However, traditional approaches to mobility assessment are limited in their ability to capture daily fluctuations that align with sporadic health events. We aim to describe findings from a pilot study of our Real-time Online Assessment and Mobility Monitor (ROAMM) smartwatch application, which uniquely captures multiple streams of data in real time in ecological settings.MethodsData come from a sample of 31 participants (Mage = 74.7, 51.6% female) who used ROAMM for approximately 2 weeks. We describe the usability and feasibility of ROAMM, summarize prompt data using descriptive metrics, and compare prompt data with traditional survey-based questionnaires or other established measures.ResultsParticipants were satisfied with ROAMM’s function (87.1%) and ranked the usability as “above average.” Most were highly engaged (average adjusted compliance = 70.7%) and the majority reported being “likely” to enroll in a 2-year study (77.4%). Some smartwatch features were correlated with their respective traditional measurements (eg, certain GPS-derived life-space mobility features (r = 0.50–0.51, p < .05) and ecologically measured pain (r = 0.72, p = .01), but others were not (eg, ecologically measured fatigue).ConclusionsROAMM was usable, acceptable, and effective at measuring mobility and risk factors for mobility decline in our pilot sample. Additional work with a larger and more diverse sample is necessary to confirm associations between smartwatch-measured features and traditional measures. By monitoring multiple data streams simultaneously in ecological settings, this technology could uniquely contribute to the evolution of mobility measurement and risk factors for mobility loss.

Funder

National Institute on Aging

Claude D. Pepper Older Americans Independence Centers at the University of Florida

University of Florida Clinical and Translational Science Institute

Coordinating Center of the Claude D. Pepper Older Americans Independence Centers

Translational Research on Aging and Mobility

Yale Claude D. Pepper Older Americans Independence Center

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

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