Evidence map›Paper›PMID 39011944›Full record

ArticleJournal of the American Heart Association2024

Wearable Devices, Health Care Use, and Psychological Well-Being in Patients With Atrial Fibrillation.

Lindsey Rosman, Rachel Lampert, Songcheng Zhuo, Quefeng Li, Niraj Varma, Matthew Burg, Allison E Gaffey, Tiffany Armbruster, Anil Gehi

Abstract 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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. The impact of screening-detected atrial fibrillation and associated outcomes on quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Lindsey RosmanDepartment of Medicine, Division of Cardiology University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0002-0944-6864
Rachel LampertDepartment of Internal Medicine (Section of Cardiovascular Medicine) Yale University School of Medicine New Haven CT USA.ORCID 0000-0003-3313-0939
Songcheng ZhuoDepartment of Biostatistics University of North Carolina at Chapel Hill Chapel Hill NC USA.
Quefeng LiDepartment of Biostatistics University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0003-0707-2763
Niraj VarmaHeart and Vascular Institute, Cleveland Clinic Cleveland OH USA.ORCID 0000-0003-2296-2596
Matthew BurgDepartment of Internal Medicine (Section of Cardiovascular Medicine) Yale University School of Medicine New Haven CT USA.ORCID 0000-0002-1263-2385
Allison E GaffeyDepartment of Internal Medicine (Section of Cardiovascular Medicine) Yale University School of Medicine New Haven CT USA.ORCID 0000-0002-2960-2772
Tiffany ArmbrusterDepartment of Medicine, Division of Cardiology University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0009-0003-8644-6045
Anil GehiDepartment of Medicine, Division of Cardiology University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0002-6724-5294

Funding

Gender Differences in Physical Activity Among Patients with Implantable Cardioverter Defibrillators (ICDs)K23HL141644 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROSMAN, LINDSEY · 2019 to 2023
$910k
NHLBI NIH HHS K23 HL141644
6 · The paper itself

Abstract

backgroundWearables are increasingly used by patients with atrial fibrillation (AF) for symptom monitoring and health management, but their impact on patient health care use and psychological well-being is not well understood. METHODS AND

resultsIn this retrospective, propensity-matched study of patients with AF, survey and electronic health record data were merged to compare AF-specific health care use (outpatient/inpatient visits, rhythm-related testing, and procedures) and informal health care use (telephone calls and patient portal messages) over a 9-month period between wearable users and nonusers. We also examined the effects of wearable cardiac monitoring features (eg, heart rate alerts, irregular rhythm notification, and ECG) on patient behavior and well-being. Of 172 patients with AF in this analysis (age, 72.6±9.0 years; 42% women), 83 used a wearable. Compared with nonusers, wearable users reported higher rates of symptom monitoring and preoccupation (

conclusionsWearables were associated with higher rates of symptom monitoring and preoccupation, AF treatment concerns, AF-specific health care use, and use of informal health care resources. Prospective, randomized studies are needed to understand the net effects of wearables and their alerts on patients, providers, and the health care system.

Indexed as

Atrial FibrillationWearable Electronic DevicesAgedAged, 80 and overFemaleHumansMaleMental HealthMiddle AgedPatient Acceptance of Health CarePsychological Well-BeingRetrospective Studiesatrial fibrillationdigital healthwearables

Identifiers

PMID39011944
PMCPMC11964026

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.