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Characteristics and Attitudes of Wearable Device Users and Non-Users in a Large Healthcare System.
Venn, Rachael A; Khurshid, Shaan; Grayson, Mia; Ashburner, Jeffrey M; Al-Alusi, Mostafa A; Chang, Yuchiao; Foulkes, Andrea; Ellinor, Patrick T; McManus, David D; Singer, Daniel E; Atlas, Steven J; Lubitz, Steven A.
Afiliação
  • Venn RA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Khurshid S; Demoulas Center for Cardiac Arrhythmias, Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Grayson M; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Ashburner JM; Demoulas Center for Cardiac Arrhythmias, Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Al-Alusi MA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Chang Y; Division of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
  • Foulkes A; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
  • Ellinor PT; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • McManus DD; Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Singer DE; Division of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
  • Atlas SJ; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
  • Lubitz SA; Harvard Medical School, Boston, Massachusetts, United States of America.
medRxiv ; 2023 Aug 12.
Article em En | MEDLINE | ID: mdl-37609134
Introduction: Consumer wearable devices with health and wellness features are increasingly common and may enhance prevention and management of cardiovascular disease. However, the characteristics and attitudes of wearable device users versus non-users are poorly understood. Methods: Wearable Activity Tracking for Comprehensive Healthcare-Integrated Technology (WATCH-IT) was a prospective study of adults aged ≥18 years receiving longitudinal primary or ambulatory cardiovascular care at one of eleven hospitals within the Mass General Brigham multi-institutional healthcare system between January 2010-July 2021. We invited patients, including wearable users and non-users, to participate via an electronic patient portal. Participants were asked to complete a 20-question survey regarding perceptions and use of consumer wearable devices. Responses were linked to electronic health record data. Multivariable logistic regression was used to identify factors associated with device use. Results: Among 280,834 individuals receiving longitudinal primary or cardiovascular care, 65,842 did not have an active electronic portal or opted out of research contact. Of the 214,992 individuals sent a survey link, 11,121 responded (5.2%), comprising the WATCH-IT patient sample. Most respondents (55.8%) reported current use of a wearable device, and most non-users (95.3%) reported they would use a wearable device if provided at no cost. Although most users (70.2%) had not shared device data with their doctor previously, the majority believed it would be very (20.4%) or moderately (34.4%) important to share device-related health information with providers. In multivariable models, older age (odds ratio [OR] 0.80 per 10-year increase, 95% CI 0.77-0.82), male sex (0.87, 95% CI 0.80-0.95), and heart failure (0.75, 95% CI 0.63-0.89) were associated with lower odds of wearable device use, whereas higher median zip code income (1.08 per 1-quartile increase, 95% CI 1.04-1.12) and care in a cardiovascular medicine clinic (1.17, 95% CI 1.05-1.30) were associated with greater odds of device use. Nearly all respondents (98%) stated they would share device data with researchers studying health outcomes. Conclusions: Within an electronically assembled cohort of patients in primary and cardiovascular medicine clinics with linkage to detailed health records, wearable device use is common. Most users perceive value in wearable data. Our platform may enable future study of the relationships between wearable technology and resource utilization, clinical outcomes, and health disparities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos