Evidence map›Paper›PMID 42104346›Full record

SynthesisBMC medical informatics and decision making2026

Actual use, intention to use, and user attitudes toward mobile health applications for coronary heart disease self-management: a systematic review and meta-analysis.

Tesema Etefa Birhanu, Elena Vlahu-Gjorgievska, Khin Than Win

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medical informatics and decision making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Tesema Etefa BirhanuDepartment of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia. tesema.etefa@ju.edu.et.
Elena Vlahu-GjorgievskaFaculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, Australia.
Khin Than WinFaculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile Health applications (mHealth) have become a promising approach to support self-management of coronary heart disease (CHD). No previous studies have examined user acceptance constructs, and the results remain inconsistent. The aim of this study is to synthesize and quantify the pooled prevalence of current use, intention to use, perceived usefulness, and positive user attitudes toward mHealth apps among patients with coronary heart disease.

methodsA systematic review and meta-analysis were conducted in accordance with PRISMA guidelines and registered in PROSPERO (CRD420251018916). Five electronic databases (PubMed, Web of Science, Cochrane Library, CINAHL, and SCOPUS) were searched for studies published in English between January 2015 and April 2025. Primary studies reporting at least one acceptance-related construct: actual use, intention to use, perceived usefulness, and positive user attitude among patients with CHD or cardiac events were included. Random-effects models (metaprop, REML) were used to estimate pooled prevalence. Heterogeneity, sensitivity test, subgroup analysis, and publication bias assessments were performed.

resultsA total of 6113 participants in 17 studies. The pooled prevalence of actual use was [39% (95% CI: 24%-54%)], intention to use was [61% (95% CI: 53%-69%)], perceived usefulness was [69% (95% CI: 49%-88%)], and positive user attitude was [80% (95% CI: 69%-91%)]. Substantial heterogeneity was observed across studies. Sensitivity analysis indicated no influential outliers. The funnel plot and Egger's test indicate no statistically significant publication bias. However, the findings should be interpreted with caution due to substantial heterogeneity and a small number of studies.

conclusionAccording to our findings, despite strong behavioural intention, high perceived usefulness, and positive user attitudes, actual usage remains relatively low, highlighting a gap between acceptance and implementation. The findings provide a potential quantitative basis for guiding the design and development of mHealth applications and for emphasizing user-centered interfaces to translate acceptance into sustained engagement in CHD self-management. These findings reveal significant untapped potential for mHealth-supported CHD self-care and the closely related cardiovascular population with similar self-management needs.

Indexed as

Coronary DiseaseIntentionMobile ApplicationsPatient Acceptance of Health CareSelf-ManagementTelemedicineDigital HealthHumansCoronary artery diseaseCoronary heart diseaseDigital health systemMeta-analysisMobile health applicationSystematic review

Identifiers

PMID42104346
PMCPMC13321549

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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.