Evidence map›Paper›PMID 42666481›Full record

ArticleFrontiers in public health2026

Technology anxiety and digital health literacy as structural determinants of mHealth engagement among older adults: a SEM study in Saudi Arabia.

Haitham Alzghaibi

Abstract read
In one paragraph

Article in Frontiers in public health, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Haitham AlzghaibiDepartment of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health services hold real promise for older adults managing chronic conditions, yet this population consistently struggles to engage with them meaningfully. In Saudi Arabia, the national Sehhaty mHealth platform has been deployed at scale under Vision 2030, but there is limited evidence on why older users do or do not engage, and what structural factors drive those patterns. Aim: This study examined the structural determinants of digital health service engagement among Saudi adults aged 55 and above, focusing on the role of access barriers, technology anxiety, digital health literacy, facilitating conditions, and social influence in shaping behavioural intention to use Sehhaty and AI-enabled virtual physician chatbots. Methods: A cross-sectional survey was conducted with 316 community-dwelling adults aged 55 years and above across Saudi Arabia. Participants completed a 28-item validated questionnaire covering nine constructs adapted from the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Internal consistency, composite reliability, and average variance extracted were assessed for each construct. Structural Equation Modelling (SEM) with bootstrapped mediation analysis and non-parametric group comparisons (Mann-Whitney Results: The model explained 61.0% of variance in behavioural intention ( Conclusion: Technology anxiety and digital health literacy are the primary targets for improving older adult digital health engagement. The Arabic-language anxiety difference carries direct implications for platform design: native language interface concordance appears to reduce anxiety independently of technical skill. Scaffolded onboarding, community literacy programmes, and structured clinician endorsement are recommended as practical complements.

Indexed as

AnxietyHealth LiteracyTelemedicineAgedCross-Sectional StudiesDigital HealthFemaleHumansLatent Class AnalysisMaleMiddle AgedSaudi ArabiaSurveys and Questionnairesdigital healthdigital health literacymHealtholder adultsSaudi ArabiaSehhatystructural equation modelling

Identifiers

PMID42666481
PMCPMC13522229

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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.