Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study
BackgroundThe 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 co...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2023-04-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e43134 |
| _version_ | 1797734242145271808 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Mario Mekhael |
| collection | DOAJ |
| description |
BackgroundThe 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.
ObjectiveThe aim of this study was to evaluate patients’ compliance to wearable wristbands and determinants of compliance in a prospective COVID-19 cohort.
MethodsThe 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.
ResultsA 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 R2=0.1; β=1.6; P=.01).
ConclusionsCompliance 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. |
| first_indexed | 2024-03-12T12:41:28Z |
| format | Article |
| id | doaj.art-78aaa959ab8c46c78995420a4320b96f |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:41:28Z |
| publishDate | 2023-04-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-78aaa959ab8c46c78995420a4320b96f2023-08-28T23:51:01ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-04-0125e4313410.2196/43134Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational StudyMario Mekhaelhttps://orcid.org/0000-0001-8809-5419Chan Hohttps://orcid.org/0000-0001-9998-5601Charbel Noujaimhttps://orcid.org/0000-0002-3179-4398Ala Assafhttps://orcid.org/0000-0001-6443-798XHadi Youneshttps://orcid.org/0000-0002-7202-1164Abdel Hadi El Hajjarhttps://orcid.org/0000-0003-4820-8102Humza A Chaudhryhttps://orcid.org/0000-0002-7915-4162Brennan Lanierhttps://orcid.org/0000-0001-8208-5340Nour Choumanhttps://orcid.org/0000-0002-6624-1590Noor Makanhttps://orcid.org/0000-0003-0632-2839Botao Shanhttps://orcid.org/0000-0003-2219-0709Yichi Zhanghttps://orcid.org/0000-0002-1780-7156Lilas Dagherhttps://orcid.org/0000-0003-0660-318XOmar Kreidiehhttps://orcid.org/0000-0001-6189-2821Nassir Marrouchehttps://orcid.org/0000-0003-0454-0541Eoin Donnellanhttps://orcid.org/0000-0001-8440-9900 BackgroundThe 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. ObjectiveThe aim of this study was to evaluate patients’ compliance to wearable wristbands and determinants of compliance in a prospective COVID-19 cohort. MethodsThe 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. ResultsA 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 R2=0.1; β=1.6; P=.01). ConclusionsCompliance 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.https://www.jmir.org/2023/1/e43134 |
| spellingShingle | 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 Compliance Challenges in a Longitudinal COVID-19 Cohort Using Wearables for Continuous Monitoring: Observational Study Journal of Medical Internet Research |
| 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 |
| url | https://www.jmir.org/2023/1/e43134 |
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