Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study

BackgroundSmartphones are often equipped with inertial sensors that measure individuals’ physical activity (PA). However, their role in remote monitoring of the patients’ PAs in telemedicine needs to be adequately explored. ObjectiveThis study aimed to explore the...

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Main Authors: Arash Ghaffari, Rikke Emilie Kildahl Lauritsen, Michael Christensen, Trine Rolighed Thomsen, Harshit Mahapatra, Robert Heck, Søren Kold, Ole Rahbek
Format: Article
Language:English
Published: JMIR Publications 2023-07-01
Series:JMIR mHealth and uHealth
Online Access:https://mhealth.jmir.org/2023/1/e44442
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author Arash Ghaffari
Rikke Emilie Kildahl Lauritsen
Michael Christensen
Trine Rolighed Thomsen
Harshit Mahapatra
Robert Heck
Søren Kold
Ole Rahbek
author_facet Arash Ghaffari
Rikke Emilie Kildahl Lauritsen
Michael Christensen
Trine Rolighed Thomsen
Harshit Mahapatra
Robert Heck
Søren Kold
Ole Rahbek
author_sort Arash Ghaffari
collection DOAJ
description BackgroundSmartphones are often equipped with inertial sensors that measure individuals’ physical activity (PA). However, their role in remote monitoring of the patients’ PAs in telemedicine needs to be adequately explored. ObjectiveThis study aimed to explore the correlation between a participant’s actual daily step counts and the daily step counts reported by their smartphone. In addition, we inquired about the usability of smartphones for collecting PA data. MethodsThis prospective observational study was conducted among patients undergoing lower limb orthopedic surgery and a group of nonpatients as control. The data from the patients were collected from 2 weeks before surgery until 4 weeks after the surgery, whereas the data collection period for the nonpatients was 2 weeks. The participant’s daily step count was recorded by PA trackers worn 24/7. In addition, a smartphone app collected the number of daily steps registered by the participants’ smartphones. We compared the cross-correlation between the daily steps time series obtained from the smartphones and PA trackers in different groups of participants. We also used mixed modeling to estimate the total number of steps, using smartphone step counts and the characteristics of the patients as independent variables. The System Usability Scale was used to evaluate the participants’ experience with the smartphone app and the PA tracker. ResultsOverall, 1067 days of data were collected from 21 patients (n=11, 52% female patients) and 10 nonpatients (n=6, 60% female patients). The median cross-correlation coefficient on the same day was 0.70 (IQR 0.53-0.83). The correlation in the nonpatient group was slightly higher than that in the patient group (median 0.74, IQR 0.60-0.90 and median 0.69, IQR 0.52-0.81, respectively). The likelihood ratio tests on the models fitted by mixed effects methods demonstrated that the smartphone step count was positively correlated with the PA tracker’s total number of steps (χ21=34.7, P<.001). In addition, the median usability score for the smartphone app was 78 (IQR 73-88) compared with median 73 (IQR 68-80) for the PA tracker. ConclusionsConsidering the ubiquity, convenience, and practicality of smartphones, the high correlation between the smartphones and the total daily step count time series highlights the potential usefulness of smartphones in detecting changes in the number of steps in remote monitoring of a patient’s PA.
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spelling doaj.art-2a5a4886c3fc425299ef9bd44421e95d2023-08-29T00:00:55ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222023-07-0111e4444210.2196/44442Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational StudyArash Ghaffarihttps://orcid.org/0000-0002-6901-0763Rikke Emilie Kildahl Lauritsenhttps://orcid.org/0000-0003-2906-8909Michael Christensenhttps://orcid.org/0000-0003-2649-6967Trine Rolighed Thomsenhttps://orcid.org/0000-0002-7393-9372Harshit Mahapatrahttps://orcid.org/0000-0002-4608-7637Robert Heckhttps://orcid.org/0000-0003-4511-7731Søren Koldhttps://orcid.org/0000-0002-3387-1473Ole Rahbekhttps://orcid.org/0000-0002-5602-4533 BackgroundSmartphones are often equipped with inertial sensors that measure individuals’ physical activity (PA). However, their role in remote monitoring of the patients’ PAs in telemedicine needs to be adequately explored. ObjectiveThis study aimed to explore the correlation between a participant’s actual daily step counts and the daily step counts reported by their smartphone. In addition, we inquired about the usability of smartphones for collecting PA data. MethodsThis prospective observational study was conducted among patients undergoing lower limb orthopedic surgery and a group of nonpatients as control. The data from the patients were collected from 2 weeks before surgery until 4 weeks after the surgery, whereas the data collection period for the nonpatients was 2 weeks. The participant’s daily step count was recorded by PA trackers worn 24/7. In addition, a smartphone app collected the number of daily steps registered by the participants’ smartphones. We compared the cross-correlation between the daily steps time series obtained from the smartphones and PA trackers in different groups of participants. We also used mixed modeling to estimate the total number of steps, using smartphone step counts and the characteristics of the patients as independent variables. The System Usability Scale was used to evaluate the participants’ experience with the smartphone app and the PA tracker. ResultsOverall, 1067 days of data were collected from 21 patients (n=11, 52% female patients) and 10 nonpatients (n=6, 60% female patients). The median cross-correlation coefficient on the same day was 0.70 (IQR 0.53-0.83). The correlation in the nonpatient group was slightly higher than that in the patient group (median 0.74, IQR 0.60-0.90 and median 0.69, IQR 0.52-0.81, respectively). The likelihood ratio tests on the models fitted by mixed effects methods demonstrated that the smartphone step count was positively correlated with the PA tracker’s total number of steps (χ21=34.7, P<.001). In addition, the median usability score for the smartphone app was 78 (IQR 73-88) compared with median 73 (IQR 68-80) for the PA tracker. ConclusionsConsidering the ubiquity, convenience, and practicality of smartphones, the high correlation between the smartphones and the total daily step count time series highlights the potential usefulness of smartphones in detecting changes in the number of steps in remote monitoring of a patient’s PA.https://mhealth.jmir.org/2023/1/e44442
spellingShingle Arash Ghaffari
Rikke Emilie Kildahl Lauritsen
Michael Christensen
Trine Rolighed Thomsen
Harshit Mahapatra
Robert Heck
Søren Kold
Ole Rahbek
Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
JMIR mHealth and uHealth
title Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
title_full Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
title_fullStr Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
title_full_unstemmed Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
title_short Exploring the Feasibility and Usability of Smartphones for Monitoring Physical Activity in Orthopedic Patients: Prospective Observational Study
title_sort exploring the feasibility and usability of smartphones for monitoring physical activity in orthopedic patients prospective observational study
url https://mhealth.jmir.org/2023/1/e44442
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