Evidence map›Paper›PMID 37609134›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Characteristics and Attitudes of Wearable Device Users and Non-Users in a Large Healthcare System.

Rachael A Venn, Shaan Khurshid, Mia Grayson, Jeffrey M Ashburner, Mostafa A Al-Alusi, Yuchiao Chang, Andrea Foulkes, Patrick T Ellinor, David D McManus, Daniel E Singer and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Rachael A VennCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Shaan KhurshidCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Mia GraysonCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jeffrey M AshburnerDivision of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
Mostafa A Al-AlusiCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Yuchiao ChangDivision of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
Andrea FoulkesHarvard Medical School, Boston, Massachusetts, United States of America.
Patrick T EllinorCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
David D McManusDepartment of Medicine, University of Massachusetts T.H. Chan Medical School, Worcester, Massachusetts, USA.
Daniel E SingerDivision of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
Steven J AtlasDivision of General Internal Medicine, Massachusetts General Hospital, Massachusetts, USA.
Steven A LubitzCardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Massachusetts General Hospital · USHarvard University · USUniversity of Massachusetts Chan Medical School · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BRYAN O BUCHHOLZ, Nathaniel Scott Hafer · 2018 to 2026
$141.0M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
A phase I trial of AdKCNH2-G628S gene therapy for post-op atrial fibrillationR33HL158541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, MCMANUS, DAVID D. · 2022 to 2023
$3.4M
SUPPORT-AF IVR01HL155343 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KAPOOR, ALOK, MCMANUS, DAVID D. · 2021 to 2025
$3.4M
Genomics of Cardiac ArrhythmiasR01HL139731 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS · 2018 to 2022
$3.3M
Using Electrocardiogram Genetics to Inform Arrhythmia RiskR01HL157635 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ELLINOR, PATRICK THOMAS, MIRSHAHI, TOORAJ · 2022 to 2025
$2.9M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL139731NHLBI NIH HHS R01 HL141434NHLBI NIH HHS R01 HL155343NHLBI NIH HHS R01 HL157635NHLBI NIH HHS R33 HL158541NHLBI NIH HHS T32 HL007208NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

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.

Indexed as

consumer wearableshealthcare innovationmobile technologies

Identifiers

PMID37609134
PMCPMC10441501
OpenAlexW4385779779

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.