Evidence map›Paper›PMID 38665288›Full record

ArticleJournal of geriatric cardiology : JGC2024

Health behavior outcomes in stroke survivors prescribed wearables for atrial fibrillation detection stratified by age.

Joanne Mathew, Jordy Mehawej, Ziyue Wang, Taylor Orwig, Eric Ding, Andreas Filippaios, Syed Naeem, Edith Mensah Otabil, Alex Hamel, Kamran Noorishirazi and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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.

Joanne MathewDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Jordy MehawejDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Ziyue WangDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Taylor OrwigDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Eric DingDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Andreas FilippaiosDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Syed NaeemDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Edith Mensah OtabilDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Alex HamelDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Kamran NoorishiraziDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Irina RaduDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Jane SaczynskiDepartment of Pharmacy and Health Systems Sciences, School of Pharmacy, Northeastern University, Boston, USA.
David D McManusDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Khanh-Van TranDivision of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
University of Massachusetts Chan Medical School · USCentral Michigan University · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartwatches have become readily accessible tools for detecting atrial fibrillation (AF). There remains limited data on how they affect psychosocial outcomes and engagement in older adults. We examine the health behavior outcomes of stroke survivors prescribed smartwatches for AF detection stratified by age.

methodsWe analyzed data from the Pulsewatch study, a randomized controlled trial that enrolled patients (≥ 50 years) with a history of stroke or transient ischemic attack and CHA2DS2-VASc ≥ 2. Intervention participants were equipped with a cardiac patch monitor and a smartwatch-app dyad, while control participants wore the cardiac patch monitor for up to 44 days. We evaluated health behavior parameters using standardized tools, including the Consumer Health Activation Index, the Generalized Anxiety Disorder questionnaire, the 12-Item Short Form Health Survey, and wear time of participants categorized into three age groups: Group 1 (ages 50-60), Group 2 (ages 61-69), and Group 3 (ages 70-87). We performed statistical analysis using a mixed-effects repeated measures linear regression model to examine differences amongst age groups.

resultsComparative analysis between Groups 1, 2 and 3 revealed no significant differences in anxiety, patient activation, perception of physical health and wear time. The use of smartwatch technology was associated with a decrease in perception of mental health for Group 2 compared to Group 1 (β = -3.29,

conclusionStroke survivors demonstrated a willingness to use smartwatches for AF monitoring. Importantly, among these study participants, the majority did not experience negative health behavior outcomes or decreased engagement as age increased.

Identifiers

PMID38665288
PMCPMC11040051
OpenAlexW4395047056

What OpenQuestion holds

Textmetadata
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.