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Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study
BACKGROUND: The WEAICOR (Wearables to Investigate the Long Term Cardiovascular and Behavioral Impacts of COVID-19) study was a prospective observational study that used continuous monitoring to detect and analyze biometrics. Compliance to wearables was a major challenge when conducting the study and...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131852/ https://www.ncbi.nlm.nih.gov/pubmed/36763647 http://dx.doi.org/10.2196/43134 |
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author | Mekhael, Mario Ho, Chan Noujaim, Charbel Assaf, Ala Younes, Hadi El Hajjar, Abdel Hadi Chaudhry, Humza A Lanier, Brennan Chouman, Nour Makan, Noor Shan, Botao Zhang, Yichi Dagher, Lilas Kreidieh, Omar Marrouche, Nassir Donnellan, Eoin |
author_facet | Mekhael, Mario Ho, Chan Noujaim, Charbel Assaf, Ala Younes, Hadi El Hajjar, Abdel Hadi Chaudhry, Humza A Lanier, Brennan Chouman, Nour Makan, Noor Shan, Botao Zhang, Yichi Dagher, Lilas Kreidieh, Omar Marrouche, Nassir Donnellan, Eoin |
author_sort | Mekhael, Mario |
collection | PubMed |
description | BACKGROUND: The WEAICOR (Wearables to Investigate the Long Term Cardiovascular and Behavioral Impacts of COVID-19) study was a prospective observational study that used continuous monitoring to detect and analyze biometrics. Compliance to wearables was a major challenge when conducting the study and was crucial for the results. OBJECTIVE: The aim of this study was to evaluate patients’ compliance to wearable wristbands and determinants of compliance in a prospective COVID-19 cohort. METHODS: The Biostrap (Biostrap USA LLC) wearable device was used to monitor participants’ biometric data. Compliance was calculated by dividing the total number of days in which transmissions were sent by the total number of days spent in the WEAICOR study. Univariate correlation analyses were performed, with compliance and days spent in the study as dependent variables and age, BMI, sex, symptom severity, and the number of complications or comorbidities as independent variables. Multivariate linear regression was then performed, with days spent in the study as a dependent variable, to assess the power of different parameters in determining the number of days patients spent in the study. RESULTS: A total of 122 patients were included in this study. Patients were on average aged 41.32 years, and 46 (38%) were female. Age was found to correlate with compliance (r=0.23; P=.01). In addition, age (r=0.30; P=.001), BMI (r=0.19; P=.03), and the severity of symptoms (r=0.19; P=.03) were found to correlate with days spent in the WEAICOR study. Per our multivariate analysis, in which days spent in the study was a dependent variable, only increased age was a significant determinant of compliance with wearables (adjusted R(2)=0.1; β=1.6; P=.01). CONCLUSIONS: Compliance is a major obstacle in remote monitoring studies, and the reasons for a lack of compliance are multifactorial. Patient factors such as age, in addition to environmental factors, can affect compliance to wearables. |
format | Online Article Text |
id | pubmed-10131852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101318522023-04-27 Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study Mekhael, Mario Ho, Chan Noujaim, Charbel Assaf, Ala Younes, Hadi El Hajjar, Abdel Hadi Chaudhry, Humza A Lanier, Brennan Chouman, Nour Makan, Noor Shan, Botao Zhang, Yichi Dagher, Lilas Kreidieh, Omar Marrouche, Nassir Donnellan, Eoin J Med Internet Res Original Paper BACKGROUND: The WEAICOR (Wearables to Investigate the Long Term Cardiovascular and Behavioral Impacts of COVID-19) study was a prospective observational study that used continuous monitoring to detect and analyze biometrics. Compliance to wearables was a major challenge when conducting the study and was crucial for the results. OBJECTIVE: The aim of this study was to evaluate patients’ compliance to wearable wristbands and determinants of compliance in a prospective COVID-19 cohort. METHODS: The Biostrap (Biostrap USA LLC) wearable device was used to monitor participants’ biometric data. Compliance was calculated by dividing the total number of days in which transmissions were sent by the total number of days spent in the WEAICOR study. Univariate correlation analyses were performed, with compliance and days spent in the study as dependent variables and age, BMI, sex, symptom severity, and the number of complications or comorbidities as independent variables. Multivariate linear regression was then performed, with days spent in the study as a dependent variable, to assess the power of different parameters in determining the number of days patients spent in the study. RESULTS: A total of 122 patients were included in this study. Patients were on average aged 41.32 years, and 46 (38%) were female. Age was found to correlate with compliance (r=0.23; P=.01). In addition, age (r=0.30; P=.001), BMI (r=0.19; P=.03), and the severity of symptoms (r=0.19; P=.03) were found to correlate with days spent in the WEAICOR study. Per our multivariate analysis, in which days spent in the study was a dependent variable, only increased age was a significant determinant of compliance with wearables (adjusted R(2)=0.1; β=1.6; P=.01). CONCLUSIONS: Compliance is a major obstacle in remote monitoring studies, and the reasons for a lack of compliance are multifactorial. Patient factors such as age, in addition to environmental factors, can affect compliance to wearables. JMIR Publications 2023-04-05 /pmc/articles/PMC10131852/ /pubmed/36763647 http://dx.doi.org/10.2196/43134 Text en ©Mario Mekhael, Chan Ho, Charbel Noujaim, Ala Assaf, Hadi Younes, Abdel Hadi El Hajjar, Humza A Chaudhry, Brennan Lanier, Nour Chouman, Noor Makan, Botao Shan, Yichi Zhang, Lilas Dagher, Omar Kreidieh, Nassir Marrouche, Eoin Donnellan. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 05.04.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Mekhael, Mario Ho, Chan Noujaim, Charbel Assaf, Ala Younes, Hadi El Hajjar, Abdel Hadi Chaudhry, Humza A Lanier, Brennan Chouman, Nour Makan, Noor Shan, Botao Zhang, Yichi Dagher, Lilas Kreidieh, Omar Marrouche, Nassir Donnellan, Eoin Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title | Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title_full | Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title_fullStr | Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title_full_unstemmed | Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title_short | Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study |
title_sort | compliance challenges in a longitudinal covid-19 cohort using wearables for continuous monitoring: observational study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131852/ https://www.ncbi.nlm.nih.gov/pubmed/36763647 http://dx.doi.org/10.2196/43134 |
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