Literature DB >> 34259638

Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study.

Charlotte Rouzaud Laborde1,2, Erta Cenko3, Mamoun T Mardini2,4, Subhash Nerella4, Matin Kheirkhahan5, Sanjay Ranka6, Roger B Fillingim7, Duane B Corbett2, Eric Weber7, Parisa Rashidi4, Todd Manini2.   

Abstract

BACKGROUND: Smartwatches enable physicians to monitor symptoms in patients with knee osteoarthritis, their behavior, and their environment. Older adults experience fluctuations in their pain and related symptoms (mood, fatigue, and sleep quality) that smartwatches are ideally suited to capture remotely in a convenient manner.
OBJECTIVE: The aim of this study was to evaluate satisfaction, usability, and compliance using the real-time, online assessment and mobility monitoring (ROAMM) mobile app designed for smartwatches for individuals with knee osteoarthritis.
METHODS: Participants (N=28; mean age 73.2, SD 5.5 years; 70% female) with reported knee osteoarthritis were asked to wear a smartwatch with the ROAMM app installed. They were prompted to report their prior night's sleep quality in the morning, followed by ecological momentary assessments (EMAs) of their pain, fatigue, mood, and activity in the morning, afternoon, and evening. Satisfaction, comfort, and usability were evaluated using a standardized questionnaire. Compliance with regard to answering EMAs was calculated after excluding time when the watch was not being worn for technical reasons (eg, while charging).
RESULTS: A majority of participants reported that the text displayed was large enough to read (22/26, 85%), and all participants found it easy to enter ratings using the smartwatch. Approximately half of the participants found the smartwatch to be comfortable (14/26, 54%) and would consider wearing it as their personal watch (11/24, 46%). Most participants were satisfied with its battery charging system (20/26, 77%). A majority of participants (19/26, 73%) expressed their willingness to use the ROAMM app for a 1-year research study. The overall EMA compliance rate was 83% (2505/3036 responses). The compliance rate was lower among those not regularly wearing a wristwatch (10/26, 88% vs 16/26, 71%) and among those who found the text too small to read (4/26, 86% vs 22/26, 60%).
CONCLUSIONS: Older adults with knee osteoarthritis positively rated the ROAMM smartwatch app and were generally satisfied with the device. The high compliance rates coupled with the willingness to participate in a long-term study suggest that the ROAMM app is a viable approach to remotely collecting health symptoms and behaviors for both research and clinical endeavors. ©Charlotte Rouzaud Laborde, Erta Cenko, Mamoun T Mardini, Subhash Nerella, Matin Kheirkhahan, Sanjay Ranka, Roger B Fillingim, Duane B Corbett, Eric Weber, Parisa Rashidi, Todd Manini. Originally published in JMIR Aging (https://aging.jmir.org), 14.07.2021.

Entities:  

Keywords:  ROAMM; compliance; ecological momentary assessment; ehealth; fatigue; knee osteoarthritis; mobile application; mobile health; older adults; pain; personal satisfaction; real-time online assessment and mobility monitor; smartwatch; usability; wearable electronic device

Year:  2021        PMID: 34259638     DOI: 10.2196/24553

Source DB:  PubMed          Journal:  JMIR Aging        ISSN: 2561-7605


  3 in total

Review 1.  Assessing Pain Research: A Narrative Review of Emerging Pain Methods, Their Technosocial Implications, and Opportunities for Multidisciplinary Approaches.

Authors:  Sara E Berger; Alexis T Baria
Journal:  Front Pain Res (Lausanne)       Date:  2022-06-02

2.  Dynamics of Loneliness Among Older Adults During the COVID-19 Pandemic: Pilot Study of Ecological Momentary Assessment With Network Analysis.

Authors:  Varsha D Badal; Ellen E Lee; Rebecca Daly; Emma M Parrish; Ho-Cheol Kim; Dilip V Jeste; Colin A Depp
Journal:  Front Digit Health       Date:  2022-02-07

3.  Self-Reports in the Field Using Smartwatches: An Open-Source Firmware Solution.

Authors:  Selina Volsa; Bernad Batinic; Stefan Stieger
Journal:  Sensors (Basel)       Date:  2022-03-03       Impact factor: 3.576

  3 in total

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