Evidence map›Paper›PMID 31327518›Full record

ReviewInternational journal of cardiology2019

Mobile health applications for atrial fibrillation: A readability and quality assessment.

Varun Ayyaswami, Divya L Padmanabhan, Tudor Crihalmeanu, Franklin Thelmo, Arpan V Prabhu, Jared W Magnani

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in International journal of cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06935526 (The Effect of a Mobile Education Program and Telephone Monitoring Developed for Patients With Implantable Cardioverter Defibrillators on Shock Anxiety, Device Acceptance, and Self-Efficacy), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
12.0field-weighted citation impact, top 1% 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.

NCT06935526 naenrolling by invitationnot on this mapstarted 2024, after this paper: background citation

The Effect of a Mobile Education Program and Telephone Monitoring Developed for Patients With Implantable Cardioverter Defibrillators on Shock Anxiety, Device Acceptance, and Self-Efficacy

TypeinterventionalSponsorAkdeniz UniversityRan2024 to 2025Enrolled88ConditionsPatient Acceptance of Health Care, Nursing, Implantable Cardioverter Defibrillator (ICD), Self-EfficacyArmsThe mobile training program and telephone follow-ups, Only a two-page summary section of M-ICDEP
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  16. A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 1 country.

Varun AyyaswamiUniversity of Maryland School of Medicine, Baltimore, ML, USA.
Divya L PadmanabhanUniversity of New England College of Osteopathic Medicine, Biddeford, ME, USA.
Tudor CrihalmeanuWest Virginia University, Morgantown, WV, USA.
Franklin ThelmoPhiladelphia College of Osteopathic Medicine, Philadelphia, PA, USA.
Arpan V PrabhuDepartment of Radiation Oncology, University of Pittsburgh School of Medicine, UPMC Hillman Cancer Institute, Pittsburgh, PA, USA.
Jared W MagnaniDivision of Cardiology, Department of Medicine, University of Pittsburgh Medical Center Heart and Vascular Institute, Pittsburgh, PA, USA. Electronic address: magnanij@pitt.edu.
Philadelphia College of Osteopathic Medicine · USUniversity of Maryland, Baltimore · USUniversity of New England · USUniversity of Pittsburgh Medical Center · USUPMC Hillman Cancer Center · USWest Virginia University · US

Funding

Diversity Supplement for geocoding in the parent grant "A Mobile Relational Agent to Enhance Atrial Fibrillation self-care"R33HL144669 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2020 to 2023
$3.8M
Mobile Health intervention for rural atrial fibrillationR01HL143010 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2019 to 2022
$3.0M
A Mobile Relational Agent to Enhance Atrial Fibrillation Self-careR61HL144669 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2019 to 2019
$766k
Doris Duke Charitable Foundation 2015084NHLBI NIH HHS R01 HL143010NHLBI NIH HHS R33 HL144669NHLBI NIH HHS R61 HL144669
6 · The paper itself

Abstract

backgroundMobile health applications may improve patient education and self-care for a complex condition such as atrial fibrillation (AF). Little is known about the accessibility of mobile health applications ("apps") and their readability. We evaluated the readability and quality of available apps for AF.

methodsWe searched the Apple and Google Play app stores with the terms "atrial fibrillation" and "afib." We downloaded English-language apps (up to n = 100 for each term) and categorized them by name, App store, cost, content, uploading agency (heath care associated [HCA] versus non-HCA), target audience (health care professional [HCP] versus non-HCP), scientific validity (i.e., citation of peer-reviewed or validated medical information), and user ratings. We analyzed the text of apps intended for a non-HCP target audience for readability with 10 established measures.

resultsOf the 206 downloaded apps, 50.5% were excluded as unrelated to AF, inaccessible, or non-English language. The majority of apps contained information about AF (63.2% Apple, 52.2% Google Play) and AF detection (52.6% Apple, 56.5% Google Play). A minority of non-HCP apps contained scientifically validated content (Apple, 15.8%; Google Play, 13.0%; P = NS). App mean readability was grade 12.1 ± 2.6.

conclusionsMost AF apps lacked scientific validation and were written at excessively high reading-grade levels. Our results suggest caution with mobile health apps, particularly for users with limited health literacy. There is potential opportunity for a multi-disciplinary effort by regulatory agencies, healthcare organizations, and app stores to improve relevance, scientific validity, and readability of AF apps for patients with this complex and morbid disease.

Indexed as

Atrial FibrillationTelemedicineHealth LiteracyHumansMobile ApplicationsSelf CareAtrial fibrillationDigital healthHealth literacyMobile healthReadability

Identifiers

PMID31327518
PMCPMC6710110
OpenAlexW2958745687

What OpenQuestion holds

Textmetadata
LicenceTDM
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.