Evidence map›Paper›PMID 38156452›Full record

ArticleJournal of the American Heart Association2024

Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care 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 · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Exploring digital health: a qualitative study on adults' experiences with health apps and wearables.International journal of qualitative studies on health and well-being · 2025
    Article
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  7. Review
  8. Article
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  11. PULSE survey: Population Survey on Knowledge, Gaps and Perception of Heart Rhythm disorders-an initiative of the Scientific Initiatives Committee of the European Heart Rhythm Association.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
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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 MA USA.ORCID 0000-0001-8608-2366
Shaan KhurshidCardiovascular Research Center, Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-2840-4539
Mia GraysonCardiovascular Research Center, Massachusetts General Hospital Boston MA USA.
Jeffrey M AshburnerDivision of General Internal Medicine Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-5600-3492
Mostafa A Al-AlusiCardiovascular Research Center, Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-9359-1641
Yuchiao ChangDivision of General Internal Medicine Massachusetts General Hospital Boston MA USA.ORCID 0000-0003-1093-3755
Andrea FoulkesHarvard Medical School Boston MA USA.ORCID 0000-0002-9520-0501
Patrick T EllinorCardiovascular Research Center, Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-2067-0533
David D McManusDepartment of Medicine University of Massachusetts T.H. Chan Medical School Worcester MA USA.
Daniel E SingerDivision of General Internal Medicine Massachusetts General Hospital Boston MA USA.ORCID 0000-0001-6145-4848
Steven J AtlasDivision of General Internal Medicine Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-2297-9614
Steven A LubitzCardiovascular Research Center, Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-9599-4866
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
Identifying primary care patients at increased risk of atrial fibrillation for screening interventionsK01HL148506 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ASHBURNER, JEFFREY M · 2019 to 2023
$887k
Electrocardiogram-based deep learning and decision analysis to improve atrial fibrillation risk estimationK23HL169839 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Shaan Khurshid · 2023 to 2026
$860k
NHLBI NIH HHS K01 HL148506NHLBI NIH HHS K23 HL169839NHLBI 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

backgroundConsumer wearable devices with health and wellness features are increasingly common and may enhance disease detection and management. Yet studies informing relationships between wearable device use, attitudes toward device data, and comprehensive clinical profiles are lacking. METHODS AND

resultsWATCH-IT (Wearable Activity Tracking for Comprehensive Healthcare-Integrated Technology) studied adults receiving longitudinal primary or ambulatory cardiovascular care in the Mass General Brigham health care system from January 2010 to July 2021. Participants completed a 20-question electronic survey about perceptions and use of consumer wearable devices, with responses linked to electronic health records. Multivariable logistic regression was used to identify factors associated with device use. Among 214 992 individuals receiving longitudinal primary or cardiovascular care with an active electronic portal, 11 121 responded (5.2%). Most respondents (55.8%) currently used a wearable device, and most nonusers (95.3%) would use a wearable if provided at no cost. Although most users (70.2%) had not shared device data with their doctor previously, most 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 (OR, 0.87 [95% CI, 0.80-0.95]), and heart failure (OR, 0.75 [95% CI, 0.63-0.89]) were associated with lower odds of wearable device use, whereas higher median income (OR, 1.08 per 1-quartile increase [95% CI, 1.04-1.12]) and care in a cardiovascular medicine clinic (OR, 1.17 [95% CI, 1.05-1.30]) were associated with greater odds of device use.

conclusionsAmong patients in primary and cardiovascular medicine clinics, consumer wearable device use is common, and most users perceive value in wearable health data.

Indexed as

Wearable Electronic DevicesAdultAttitudeDelivery of Health CareElectronic Health RecordsHumansMaleSurveys and Questionnairesconsumer wearableshealth care innovationmobile technologies

Identifiers

PMID38156452
PMCPMC10863832
OpenAlexW4390405909

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.