Evidence map›Paper›PMID 42160774›Full record

ArticleJMIR formative research2026

Patients' mHealth Apps Usage and Data Privacy, Security, and Confidentiality Concerns: Exploratory Study.

Nasser Alhammad, Mohannad Alajlani, Alaa Abd-Alrazaq, Theodoros N Arvanitis, Gregory Epiphaniou

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nasser AlhammadDepartment of Health Informatics, Saudi Electronic University, Jeddah, Saudi Arabia.ORCID 0009-0007-6454-5375
Mohannad AlajlaniInstitute of Digital Healthcare, Warwick Manufacturing Group (WMG), University of Warwick, Millburn House, Coventry, CV4 7AL, United Kingdom.ORCID 0000-0002-5691-7120
Alaa Abd-AlrazaqAI Center for Precision Health, Weill Cornell Medicine, Doha, Qatar.ORCID 0000-0001-7695-4626
Theodoros N ArvanitisUniversity of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-5473-135X
Gregory EpiphaniouInstitute of Digital Healthcare, Warwick Manufacturing Group (WMG), University of Warwick, Millburn House, Coventry, CV4 7AL, United Kingdom.ORCID 0000-0003-1054-6368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Technology Adoption Model (TAM) offers a potential framework for elucidating the relationships between data privacy or security concerns and behavioral intention, perceived usefulness (PU), and perceived ease of use (PEOU) of mobile health (mHealth) apps, particularly for patients' self-care management. In Saudi Arabia, limited information is available on these pertinent research areas despite the government's relentless efforts to bolster the use of mHealth apps. Objective: This study applies the TAM and the psychosociocultural framework to explore the influence of patients' data privacy and security concerns on the PU, PEOU, and behavioral intention to use mHealth apps for self-care management in Saudi Arabia. Methods: A cross-sectional study was conducted by recruiting patients using mHealth apps for self-care from various provinces in Saudi Arabia. Research instruments were developed based on the components of 2 theories: the psychosociocultural framework and TAM, which were then piloted, validated, and distributed to participants via Google Forms. Linear regression models were performed to test the hypothesized relationships. Results: Overall, 567 patients using mHealth apps participated in the study. Slightly more than one-third (217/567, 38.2%; range 35.6%-41.4%) of the participants expressed a high level of concern regarding data privacy, confidentiality, and security, with significant predictors being female gender, higher educational qualifications, and younger age groups (<46 years). About 18% to 25% of the variance in PU, PEOU, and behavioral intention to use mHealth apps was explained by the tested factors. Patients were more likely to have higher PU following a unit decrease in data confidentiality (β=.31; P=.01) and security concerns (β=.47; P=.01). The PEOU of mHealth apps increased as users demonstrated less concern regarding data privacy (β=.18; P=.001), confidentiality (β=.24; P<.001), and security (β=.43; P=.02). Likewise, behavioral intention to use mHealth apps also increased significantly following a reduction in respondents' concerns toward data privacy (β=.18; P=.02), confidentiality (β=.24; P=.03), and security issues (β=.36; P=.01). Conclusions: Specific demographic factors and concerns regarding data security and privacy influence patients' PU, PEOU, and behavioral intention to use mHealth apps for self-care management. Targeting the age-, education-, and gender-based differences regarding the usage of mHealth apps. Health care providers and policymakers may consider age-, education-, and gender-based differences when developing strategies to improve the adoption of mHealth apps among the Saudi patient population.

Indexed as

Computer SecurityConfidentialityMobile ApplicationsAdultAgedCross-Sectional StudiesDigital HealthFemaleHumansMaleMiddle AgedSaudi ArabiaSurveys and QuestionnairesTelemedicineconfidentialitydata privacyhealth caremHealthmobile healthpatientssecurity

Identifiers

PMID42160774
PMCPMC13189568

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.