Evidence map›Paper›PMID 35720675›Full record

ArticleCardiovascular digital health journal2022

Usability of a smartwatch for atrial fibrillation detection in older adults after stroke.

Eric Y Ding, Maira CastañedaAvila, Khanh-Van Tran, Jordy Mehawej, Andreas Filippaios, Tenes Paul, Edith Mensah Otabil, Kamran Noorishirazi, Dong Han, Jane S Saczynski and 4 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Cardiovascular digital health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
5.6field-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.

NCT03761394 nacompletednot on this map

Smartwatch Monitoring for Atrial Fibrillation After Stroke

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2019 to 2021Enrolled120ConditionsStroke, Atrial FibrillationArmsTesting Devices, Cardea Solo by Cardiac Insight, Kardia Mobile by AliveCor
NCT06005233 narecruitingnot on this mapstarted 2024, after this paper: background citation

Smartwatches for Detection of Atrial Fibrillation (AFib) in Secondary Prevention of Cryptogenic Stroke - WATCH AFib A Prospective, Intraindividual-controlled, Multicenter Clinical Study

TypeinterventionalSponsorTechnical University of MunichRan2024 to 2026Enrolled400ConditionsIschemic Stroke, Cryptogenic, Transient Ischemic Attack, Atrial FibrillationArmsSmartwatch
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Key stakeholder views on atrial fibrillation screening: a systematic mixed-studies review and interpretive analysis.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 · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Atrial fibrillation: stroke prevention.The Lancet regional health. Europe · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Eric Y DingDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Maira CastañedaAvilaDepartment of Population and Quantitative Health Sciences at the University of Massachusetts Medical School, Worcester, Massachusetts.
Khanh-Van TranDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Jordy MehawejDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Andreas FilippaiosDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Tenes PaulDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Edith Mensah OtabilDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Kamran NoorishiraziDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Dong HanDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.
Jane S SaczynskiDepartment of Pharmacy and Health Systems Sciences, Northeastern University, Boston, Massachusetts.
Bruce BartonDepartment of Population and Quantitative Health Sciences at the University of Massachusetts Medical School, Worcester, Massachusetts.
Kathleen M MazorDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Ki ChonDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.
David D McManusDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
University of Massachusetts Chan Medical School · USUniversity of Connecticut · USNortheastern University · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
RURAL: Risk Underlying Rural Areas Longitudinal Cohort StudyU01HL146382 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JUDD, SUZANNE E, RAMACHANDRAN, VASAN · 2019 to 2025
$42.5M
University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Community Surveillance of Coronary Heart DiseaseR01HL135219 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL, YU, HONG · 2017 to 2020
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Feasibility of Smartwatches for Atrial Fibrillation Detection in Older AdultsF30HL149335 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DING, ERIC YUXIAO · 2019 to 2021
$92k
NCATS NIH HHS UL1 TR001453NHLBI NIH HHS F30 HL149335NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL135219NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS U01 HL146382NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

Background: Smartwatches can be used for atrial fibrillation (AF) detection, but little is known about how older adults at risk for AF perceive their usability. Methods: We employed a mixed-methods study design using data from the ongoing Pulsewatch study, a randomized clinical trial (NCT03761394) examining the accuracy of a smartwatch-smartphone app dyad (Samsung/Android) compared to usual care with a patch monitor (Cardea SOLO™ ECG System) for detection of AF among older stroke survivors. To be eligible to participate in Pulsewatch, participants needed to be at least 50 years of age, have had an ischemic stroke, and have no major contraindications to anticoagulation therapy should AF be detected. After 14 days of use, usability was measured by the System Usability Scale (SUS) and investigator-generated questions. Qualitative interviews were conducted, transcribed, and coded via thematic analysis. Results: Ninety participants in the Pulsewatch trial were randomized to use a smartwatch-smartphone app dyad for 14 days (average age: 65 years, 41% female, 87% White), and 46% found it to be highly usable (SUS ≥68). In quantitative surveys, participants who used an assistive device (eg, wheelchair) and those with history of anxiety or depression were more likely to report anxiety associated with watch use. In qualitative interviews, study participants reported wanting a streamlined system that was more focused on rhythm monitoring and a smartwatch with a longer battery life. In-person training and support greatly improved their experience, and participants overwhelmingly preferred use of a smartwatch over traditional cardiac monitoring owing to its comfort, appearance, and convenience. Conclusion: Older adults at high risk for AF who were randomized to use a smartwatch-app dyad for AF monitoring over 14 days found it to be usable for AF detection and preferred their use to the use of a patch monitor. However, participants reported that a simpler device interface and longer smartwatch battery life would increase the system's usability.

Indexed as

AcceptabilityAtrial fibrillationSmartwatchStrokeUsability

Identifiers

PMID35720675
PMCPMC9204791
OpenAlexW4224222432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.