Wearable device use and technology preferences in cancer survivors with or at risk for atrial fibrillation
Year: 2022
Type: article
Study design: Observational Study
Abstract: Background: Cancer survivors face increased risk of heart disease, including atrial fibrillation (AF). Certain types of technology, such as consumer wearable devices, can be useful to monitor for AF, but little is known about wearables and AF monitoring in cancer survivor populations. Objective: The purpose of this study was to understand technology usage and preferences in cancer survivors with or at risk for AF, and to describe demographic factors associated with wearable device ownership in this population. Methods: Eligible patients completed a remote survey assessment regarding use of commercial wearable devices. The survey contained questions designed to assess commercial wearable device use, electronic health communications, and perceptions regarding the participant's cardiac health. Results: A total of 424 cancer survivors (mean age 74.2 years; 53.1% female; 98.8% white) were studied. Although most participants owned a smartphone (85.9%), only 31.8% owned a wearable device. Over half (53.5%) of cancer survivors were worried about their heart health. Overall, patients believed arrhythmias (79.7%) were the most important heart condition for a wearable to detect. Survivors reported being most willing to share blood pressure (95.6%) and heart rate (95.3%) data with their providers and were least willing to share information about their diet, weight, and physical activity using these devices. Conclusion: Understanding factors such as device ownership, usage, and heart health concerns in cancer survivors can play an important role in improving cardiovascular monitoring and its accessibility. Long-term patient outcomes may be improved by incorporating wearable devices into routine care of cancer survivors.
Institution: University of Massachusetts Chan Medical School
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,800
Awards: FHS-NEXT - Framingham Novel EXam using Technology, Automated detection and prediction of atrial fibrillation during sepsis, G1981590060, G2299345625, G247634636, G3147137692, G3853913049, G4629640506, K12 Cardiopulmonary Implementation Science Scholars Program, Detecting bleeding events using EHRs for prediction in Afib, Community Surveillance of Coronary Heart Disease, Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF), G6974693518, G7114229310, G7315601692, Smartwatch Monitoring for Atrial Fibrillation After Stroke, G7948051982, A phase I trial of AdKCNH2-G628S gene therapy for post-op atrial fibrillation, G8782104679, G8854104162, The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep Diseases, SUPPORT-AF IV
OpenAlex ID: W4293469394