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A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

SIMPLE SUMMARY: The use of wearable devices in clinical care is gaining popularity among cancer patients. The COVID-19 pandemic highlighted the value of wearable devices for monitoring health. Wearable devices are used to record and monitor real-time data like physical activity, sleep metrics, and h...

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Autores principales: Huang, Yaoru, Upadhyay, Umashankar, Dhar, Eshita, Kuo, Li-Jen, Syed-Abdul, Shabbir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496886/
https://www.ncbi.nlm.nih.gov/pubmed/36139602
http://dx.doi.org/10.3390/cancers14184437
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author Huang, Yaoru
Upadhyay, Umashankar
Dhar, Eshita
Kuo, Li-Jen
Syed-Abdul, Shabbir
author_facet Huang, Yaoru
Upadhyay, Umashankar
Dhar, Eshita
Kuo, Li-Jen
Syed-Abdul, Shabbir
author_sort Huang, Yaoru
collection PubMed
description SIMPLE SUMMARY: The use of wearable devices in clinical care is gaining popularity among cancer patients. The COVID-19 pandemic highlighted the value of wearable devices for monitoring health. Wearable devices are used to record and monitor real-time data like physical activity, sleep metrics, and heart rate variables. The use of wearable devices can directly impact clinical decision-making. There are few pieces of evidence that prove that wearable could improve the quality of patient care while reducing the cost of care, such as remote health monitoring. The generated big data by the wearable device is both a challenge and an opportunity. Researchers can apply artificial intelligence and machine learning techniques to improve wearable devices and their usage among cancer patients. In this scoping review, we assessed the adherence to clinical outcomes of wrist-worn wearable devices in the cancer population. ABSTRACT: The use of wearable devices (WDs) in healthcare monitoring and management has attracted increasing attention. A major problem is patients’ adherence and acceptance of WDs given that they are already experiencing a disease burden and treatment side effects. This scoping review explored the use of wrist-worn devices in the cancer population, with a special focus on adherence and clinical outcomes. Relevant articles focusing on the use of WDs in cancer care management were retrieved from PubMed, Scopus, and Embase from 1 January 2017 to 3 March 2022. Studies were independently screened and relevant information was extracted. We identified 752 studies, of which 38 met our inclusion criteria. Studies focused on mixed, breast, colorectal, lung, gastric, urothelial, skin, liver, and blood cancers. Adherence to WDs varied from 60% to 100%. The highest adherence was reported in the 12-week studies. Most studies focused on physical activity, sleep analysis, and heart vital signs. Of the 10 studies that described patient-reported outcomes using questionnaires and personal interviews, 8 indicated a positive correlation between the patient-reported and wearable outcomes. The definitions of the outcome measures and adherence varied across the studies. A better understanding of the intervention standards in terms of the clinical outcomes could improve adherence to wearables.
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spelling pubmed-94968862022-09-23 A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population Huang, Yaoru Upadhyay, Umashankar Dhar, Eshita Kuo, Li-Jen Syed-Abdul, Shabbir Cancers (Basel) Review SIMPLE SUMMARY: The use of wearable devices in clinical care is gaining popularity among cancer patients. The COVID-19 pandemic highlighted the value of wearable devices for monitoring health. Wearable devices are used to record and monitor real-time data like physical activity, sleep metrics, and heart rate variables. The use of wearable devices can directly impact clinical decision-making. There are few pieces of evidence that prove that wearable could improve the quality of patient care while reducing the cost of care, such as remote health monitoring. The generated big data by the wearable device is both a challenge and an opportunity. Researchers can apply artificial intelligence and machine learning techniques to improve wearable devices and their usage among cancer patients. In this scoping review, we assessed the adherence to clinical outcomes of wrist-worn wearable devices in the cancer population. ABSTRACT: The use of wearable devices (WDs) in healthcare monitoring and management has attracted increasing attention. A major problem is patients’ adherence and acceptance of WDs given that they are already experiencing a disease burden and treatment side effects. This scoping review explored the use of wrist-worn devices in the cancer population, with a special focus on adherence and clinical outcomes. Relevant articles focusing on the use of WDs in cancer care management were retrieved from PubMed, Scopus, and Embase from 1 January 2017 to 3 March 2022. Studies were independently screened and relevant information was extracted. We identified 752 studies, of which 38 met our inclusion criteria. Studies focused on mixed, breast, colorectal, lung, gastric, urothelial, skin, liver, and blood cancers. Adherence to WDs varied from 60% to 100%. The highest adherence was reported in the 12-week studies. Most studies focused on physical activity, sleep analysis, and heart vital signs. Of the 10 studies that described patient-reported outcomes using questionnaires and personal interviews, 8 indicated a positive correlation between the patient-reported and wearable outcomes. The definitions of the outcome measures and adherence varied across the studies. A better understanding of the intervention standards in terms of the clinical outcomes could improve adherence to wearables. MDPI 2022-09-13 /pmc/articles/PMC9496886/ /pubmed/36139602 http://dx.doi.org/10.3390/cancers14184437 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Huang, Yaoru
Upadhyay, Umashankar
Dhar, Eshita
Kuo, Li-Jen
Syed-Abdul, Shabbir
A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title_full A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title_fullStr A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title_full_unstemmed A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title_short A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
title_sort scoping review to assess adherence to and clinical outcomes of wearable devices in the cancer population
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496886/
https://www.ncbi.nlm.nih.gov/pubmed/36139602
http://dx.doi.org/10.3390/cancers14184437
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