Evidence map›Paper›PMID 38015598›Full record

ArticleJMIR cardio2023

Accuracy, Usability, and Adherence of Smartwatches for Atrial Fibrillation Detection in Older Adults After Stroke: Randomized Controlled Trial.

Eric Y Ding, Khanh-Van Tran, Darleen Lessard, Ziyue Wang, Dong Han, Fahimeh Mohagheghian, Edith Mensah Otabil, Kamran Noorishirazi, Jordy Mehawej, Andreas Filippaios and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR cardio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03761394 (Smartwatch Monitoring for Atrial Fibrillation After Stroke), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 4% 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
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Observational
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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

17 authors at 3 institutions in 1 country.

Eric Y DingDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-6904-8534
Khanh-Van TranDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-7036-2969
Darleen LessardDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9644-2203
Ziyue WangDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-2662-3946
Dong HanDepartment of Bioengineering, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0001-7872-7371
Fahimeh MohagheghianDepartment of Bioengineering, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0002-6653-7148
Edith Mensah OtabilDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-8926-8403
Kamran NoorishiraziDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-4059-2771
Jordy MehawejDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-6877-6778
Andreas FilippaiosDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-0082-5507
Syed NaeemDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-8851-8477
Matthew F GottbrechtDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-5245-9356
Timothy P FitzgibbonsDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-0229-034X
Jane S SaczynskiDepartment of Pharmacy and Health Systems Sciences, Northeastern University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6411-4774
Bruce BartonDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-7878-8895
Ki ChonDepartment of Bioengineering, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0002-4422-4837
David D McManusDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9343-6203
University of Massachusetts Chan Medical School · USUniversity of Connecticut · USNortheastern University · US

Funding

Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
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
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
NHLBI NIH HHS F30 HL149335NHLBI NIH HHS R01 HL137734NHLBI NIH HHS T32 HL120823
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a common cause of stroke, and timely diagnosis is critical for secondary prevention. Little is known about smartwatches for AF detection among stroke survivors. We aimed to examine accuracy, usability, and adherence to a smartwatch-based AF monitoring system designed by older stroke survivors and their caregivers.

objectiveThis study aims to examine the feasibility of smartwatches for AF detection in older stroke survivors.

methodsPulsewatch is a randomized controlled trial (RCT) in which stroke survivors received either a smartwatch-smartphone dyad for AF detection (Pulsewatch system) plus an electrocardiogram patch or the patch alone for 14 days to assess the accuracy and usability of the system (phase 1). Participants were subsequently rerandomized to potentially 30 additional days of system use to examine adherence to watch wear (phase 2). Participants were aged 50 years or older, had survived an ischemic stroke, and had no major contraindications to oral anticoagulants. The accuracy for AF detection was determined by comparing it to cardiologist-overread electrocardiogram patch, and the usability was assessed with the System Usability Scale (SUS). Adherence was operationalized as daily watch wear time over the 30-day monitoring period.

resultsA total of 120 participants were enrolled (mean age 65 years; 50/120, 41% female; 106/120, 88% White). The Pulsewatch system demonstrated 92.9% (95% CI 85.3%-97.4%) accuracy for AF detection. Mean usability score was 65 out of 100, and on average, participants wore the watch for 21.2 (SD 8.3) of the 30 days.

conclusionsOur findings demonstrate that a smartwatch system designed by and for stroke survivors is a viable option for long-term arrhythmia detection among older adults at risk for AF, though it may benefit from strategies to enhance adherence to watch wear.

trial registrationClinicalTrials.gov NCT03761394; https://clinicaltrials.gov/study/NCT03761394. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.cvdhj.2021.07.002.

Indexed as

accuracyatrial fibrillationcardiac arrhythmiadesigndetectiondiagnosiselectrocardiographymonitoringolder adultsphotoplethysmographypreventionremote monitoringsmartwatchstrokeusability

Identifiers

PMID38015598
PMCPMC10716742
OpenAlexW4389098722

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.