Evidence map›Paper›PMID 34639651›Full record

Observational studyInternational journal of environmental research and public health2021

The Association of Mobile Health Applications with Self-Management Behaviors among Adults with Chronic Conditions in the United States.

Hao Wang, Amy F Ho, R Constance Wiener, Usha Sambamoorthi

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
–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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Mobile heath applications for self-management in chronic lung disease: a systematic review.Network modeling and analysis in health informatics and bioinformatics · 2023
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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

4 authors.

Hao WangDepartment of Emergency Medicine, JPS Health Network, Fort Worth, TX 76104, USA.ORCID 0000-0002-5105-0951
Amy F HoDepartment of Emergency Medicine, JPS Health Network, Fort Worth, TX 76104, USA.
R Constance WienerDepartment of Dental Practice and Rural Health, West Virginia University, Morgantown, WV 26506, USA.
Usha SambamoorthiTexas Center for Health Disparities, Department of Pharmacotherapy, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
Texas Center for Minority Health, Education, Research and OutreachU54MD006882 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI VISHWANATHA, JAMBOOR K. · 2017 to 2022
$6.0M
NIGMS NIH HHS U54 GM104942NIH HHS OT2 OD032581NIMHD NIH HHS U54 MD006882
6 · The paper itself

Abstract

backgroundMobile applications related to health and wellness (mHealth apps) are widely used to self-manage chronic conditions. However, research on whether mHealth apps facilitate self-management behaviors of individuals with chronic conditions is sparse. We aimed to evaluate the association of mHealth apps with different types of self-management behaviors among patients with chronic diseases in the United States.

methodsThis is a cross-sectional observational study. We used data from adult participants (unweighted

resultsOverall, 59.8% of adults (unweighted number = 1327) used mHealth apps. Adults using mHealth apps were more likely to use personal health records (AOR = 3.11, 95% CI 2.26-4.28), contact healthcare providers using technology (AOR = 2.70, 95% CI 1.93-3.78), and make decisions on chronic disease management (AOR = 2.59, 95% CI 1.93-3.49). The mHealth apps were associated with higher levels of self-management involvement (AOR = 3.53, 95% CI 2.63-4.72).

conclusionAmong individuals with chronic conditions, having mHealth apps was associated with positive self-management behaviors.

Indexed as

Mobile ApplicationsSelf-ManagementTelemedicineAdultChronic DiseaseCross-Sectional StudiesHumansUnited Stateschronic diseasesmHealth appsself-management behaviors

Identifiers

PMID34639651
PMCPMC8507726

What OpenQuestion holds

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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.