Evidence map›Paper›PMID 33107056›Full record

ArticleResearch in nursing & health2021

Improved readability and functions needed for mHealth apps targeting patients with heart failure: An app store review.

Karen Dunn Lopez, Sena Chae, Girgis Michele, Dan Fraczkowski, Pantea Habibi, Debaleena Chattopadhyay, Sara B Donevant

Open access · greenAbstract read
In one paragraph

Article in Research in nursing & health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.4field-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.

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

13 citing papers in PubMed, 29 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Karen Dunn LopezThe University of Iowa College of Nursing, Iowa City, Iowa, USA.ORCID 0000-0002-9700-941X
Sena ChaeThe University of Iowa College of Nursing, Iowa City, Iowa, USA.
Girgis MicheleCreighton University College of Nursing, Omaha, Nebraska.
Dan FraczkowskiUniversity of Illinois at Chicago, College of Nursing, Chicago, Illinois, USA.
Pantea HabibiUniversity of Illinois at Chicago, College of Engineering, Chicago, Illinois, USA.
Debaleena ChattopadhyayUniversity of Illinois at Chicago, College of Engineering, Chicago, Illinois, USA.
Sara B DonevantUniversity of South Carolina, College of Nursing, Columbia, South Carolina, USA.
University of Illinois Chicago · USUniversity of Iowa · USCreighton University · USUniversity of South Carolina · US

Funding

SCH: INT: MyPHA: Automatically generating personalized accounts of in-patient hospitalizationR01CA225446 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DI EUGENIO, BARBARA · 2018 to 2021
$1.5M
NCI NIH HHS R01 CA225446NCI NIH HHS R01 CA225446-01
6 · The paper itself

Abstract

To maintain their quality of life and avoid hospitalization and early mortality, patients with heart failure must recognize and respond to symptoms of exacerbation. A promising method for engaging patients in their self-care is through mobile health applications (mHealth apps). However, for mHealth to have its greatest chance for improving patient outcomes, the app content must be readable, provide useful functions and be based in evidence. The study aimed to determine: (1) readability, (2) types of functions, and (3) linkage to authoritative sources of evidence for self-care focused mHealth apps targeting heart failure patients that are available in the Apple and Google Play Stores. We systematically searched for mHealth apps targeting patients with heart failure in the Apple and Google Play Stores and applied selection criteria. Readability of randomly selected informational paragraphs were determined using Flesch-Kincaid grade level test tool in Microsoft Word. Ten mHealth apps met our criteria. Only one had a reading grade level at or below the recommended 6th grade reading level (average 9.35). The most common functions were tracking, clinical data feedback, and non-data-based reminders and alerts. Only three had statements that clearly linked the mHealth app content to trustworthy, evidence-based sources. Only two had interoperability with the electronic health record and only one had a communication feature with clinicians. Future mHealth designs that are tailored to patients' literacy level and have advanced functions may hold greater potential for improving patient outcomes.

Indexed as

ComprehensionHeart FailureHumansMobile ApplicationsTelemedicineheart failureliteracymHealthself-care

Identifiers

PMID33107056
PMCPMC8270757
OpenAlexW3094435637

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.