Evidence map›Paper›PMID 34009326›Full record

Trial reportEuropean journal of cardiovascular nursing2022

Cardiac symptom burden and arrhythmia recurrence drives digital health use: results from the iHEART randomized controlled trial.

Ruth M Masterson Creber, Meghan Reading Turchioe, Angelo Biviano, Billy Caceres, Hasan Garan, Isaac Goldenthal, Theresa Koleck, Shazia Mitha, Kathleen Hickey, Suzanne Bakken

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of cardiovascular nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

10 authors.

Ruth M Masterson CreberDivision of Health Informatics, Department of Population Health Sciences, Weill Cornell Medical College, 425 East 61st Street, Suite 301, New York, NY 10065, USA.ORCID 0000-0002-4238-9902
Meghan Reading TurchioeDivision of Health Informatics, Department of Population Health Sciences, Weill Cornell Medical College, 425 East 61st Street, Suite 301, New York, NY 10065, USA.
Angelo BivianoDepartment of Medicine-Cardiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Billy CaceresSchool of Nursing, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-6865-5546
Hasan GaranDepartment of Medicine-Cardiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Isaac GoldenthalDepartment of Medicine-Cardiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Theresa KoleckSchool of Nursing, Columbia University Irving Medical Center, New York, NY 10032, USA.
Shazia MithaSchool of Nursing, Columbia University Irving Medical Center, New York, NY 10032, USA.
Kathleen HickeyDepartment of Medicine-Cardiology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Suzanne BakkenSchool of Nursing, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-6202-6001

Funding

Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
Self-Management, Biobehavioral and Informatics CoreP30NR010677 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ANASTASI, JOYCE K · 2007 to 2011
$2.7M
iPhone Helping Evaluate Atrial Fibrillation Rhythm through Technology (iHEART)R01NR014853 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2014 to 2018
$2.0M
Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationK99NR019124 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI TURCHIOE, MEGHAN READING · 2020 to 2021
$175k
NINR NIH HHS K99 NR019124NINR NIH HHS P30 NR010677NINR NIH HHS P30 NR016587NINR NIH HHS R00 NR016275NINR NIH HHS R01 NR014853
6 · The paper itself

Abstract

aimsDigital health can transform the management of atrial fibrillation (AF) and enable patients to take a central role in detecting symptoms and self-managing AF. There is a gap in understanding factors that support sustained use of digital health tools for patients with AF. This study identified predictors of Alivecor® KardiaMobile ECG monitor usage among patients with AF enrolled in the iPhone®Helping Evaluate Atrial fibrillation Rhythm through Technology (iHEART) randomized controlled trial. METHODS AND

resultsWe analysed data from 105 English and Spanish-speaking adults with AF enrolled in the intervention arm of the iHEART trial. The iHEART intervention included smartphone-based electrocardiogram self-monitoring with Alivecor® KardiaMobile and triweekly text messages for 6 months. The primary outcome was use of Alivecor® categorized as: infrequent (≤5 times/week), moderate (>5 times and ≤11 times/week), and frequent (>11 times/week). We applied multinomial logistic regression modelling to characterize frequency and predictors of use. Of the 105 participants, 25% were female, 75% were White, and 45% were ≥65 years of age. Premature atrial contractions (PACs) [adjusted odds ratio (OR): 1.23, 1.08-1.40, P = 0.002] predicted frequent as compared to infrequent use. PACs (adjusted OR: 1.17, 95% confidence interval 1.06-1.30, P = 0.003), lower symptom burden (adjusted OR: 1.06, 1.01-1.11, P = 0.02), and less treatment concern (adjusted OR: 0.96, 0.93-0.99, P = 0.02) predicted moderate as compared to infrequent use.

conclusionsFrequent use of AliveCor® is associated with AF symptoms and potentially symptomatic cardiac events. Symptom burden and frequency should be measured and incorporated into analyses of future digital health trials for AF management.

Indexed as

Atrial FibrillationText MessagingAdultElectrocardiographyFemaleHumansSmartphoneAtrial fibrillationAtrial premature complexesElectrocardiographyLogistic modelsMobile healthRemote monitoringRisk assessmentSelf-managementSmartphoneText messaging

Identifiers

PMID34009326
PMCPMC8560656

What OpenQuestion holds

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LicenceCC BY-NC
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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.