Evidence map›Paper›PMID 40248757›Full record

ArticlemHealth2025

Factors driving the use of mobile health app: insights from a survey.

Nur Farahin Mohd Johari, Nazlena Mohamad Ali, Mohamad Hidir Mhd Salim, Nor Aniza Abdullah

Abstract read
In one paragraph

Article in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Nur Farahin Mohd JohariInstitute of Visual Informatics, The National University of Malaysia, Bangi, Malaysia.ORCID https://orcid.org/0000-0002-8339-0440
Nazlena Mohamad AliInstitute of Visual Informatics, The National University of Malaysia, Bangi, Malaysia.ORCID https://orcid.org/0000-0002-2267-8328
Mohamad Hidir Mhd SalimInstitute of Visual Informatics, The National University of Malaysia, Bangi, Malaysia.ORCID https://orcid.org/0000-0003-4594-7751
Nor Aniza AbdullahFaculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0001-6218-8772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) offers easy accessibility to healthcare information and services, promoting positive behaviour change. However, user engagement to mHealth diminishes over time, resulting in significant dropout rates. This study aims to investigate the factors contributing to the discontinuation of mHealth use and examine how persuasive elements influence users' intention to continue using mHealth. It also seeks to identify the key motivators and barriers affecting mHealth engagement. Methods: A survey was conducted to assess persuasive elements, motivators, and barriers related to mHealth usage. The survey included measures to evaluate users' perceived persuasiveness of mHealth, the factors influencing their intention to continue using it, and both the motivators and barriers to its sustained use. Results: The analysis revealed that unobtrusiveness had the strongest positive correlation with the intention to continue using mHealth. Additionally, a positive association was found between users' perception of mHealth's persuasiveness and their intention to continue using it. The study also identified key motivators that encourage mHealth adoption and several barriers that hinder long-term engagement. Conclusions: These findings highlight the importance of developing strategies to enhance the long-term adoption of mHealth solutions and reduce dropout rates. Future research is needed to explore effective interventions for sustaining mHealth usage and addressing the barriers that lead to disengagement.

Indexed as

behaviour changedigital healthMobile health (mHealth)persuasionpersuasive

Identifiers

PMID40248757
PMCPMC12004308

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.