ArticleHealthcare (Basel, Switzerland)2023
Factors, Barriers, and Recommendations Related to Mobile Health Acceptance among the Elderly in Saudi Arabia: A Qualitative Study.
Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- The Effect of Digital Literacy Training on Physical Activity App Acceptance and Behavioral Intentions Among Older Women: An Experimental Study.International journal of environmental research and public health · 2026Trial
- Mobile Usage Duration and Usability of Mobile Health Applications Among Older Adults in Saudi Arabia: A Usability-Centered Model Informed by Technology Acceptance Theory.Healthcare (Basel, Switzerland) · 2026Article
- Digital technology use for social cohesion among older adults in rural Myanmar during the civil war: barriers and coping strategies.BMC geriatrics · 2026Article
- Facilitators and Barriers to Digital Self-Management in Older Adults With Depression: COM-B and Theoretical Domain Framework Qualitative Study.JMIR aging · 2026Article
- Medication adherence barriers and digital support among Saudi adults with chronic conditions.Scientific reports · 2026Article
- Article
- Attitudes of Elderly Population Toward Mobile Health Applications in Aseer Region, Saudi Arabia: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
- Enhancing Healthcare for People with Disabilities Through Artificial Intelligence: Evidence from Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Exploring the Discontinuous Usage Behavior of Digital Cognitive Training Among Older Adults With Mild Cognitive Impairment and Their Family Members: Qualitative Study Using the Extended Model of IT Continuance.Journal of medical Internet research · 2025Article
- Barriers to the Utilization of mHealth Applications in Saudi Arabia: Insights from Patients with Chronic Diseases.Healthcare (Basel, Switzerland) · 2025Article
- Association Between Intergenerational Support, Technology Perception and Trust, and Intention to Seek Medical Care on the Internet Among Chinese Older Adults: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2025Article
- Research Trends and Hot Spots in Telemedicine for the Elderly: A Scientometric Analysis.Healthcare (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
The use of mobile health (mHealth) is providing value to the elderly, but their acceptance of it is lower than in other age groups. Thus, this study aims to explore the factors influencing their intention to use mHealth and identify barriers and suggested solutions among elderly people aged 50+ years in Saudi Arabia, guided by the Healthcare Technology Acceptance Model (H-TAM). In this qualitative study, 14 elderly people (six females and eight males) were recruited. Participants were included if they were Saudi, aged 50+ years, and used smartphones. Participants were engaged in semi-structured interviews, which were transcribed verbatim and thematically analyzed. Peer review was conducted and saturation was reached to maintain rigor. Three major themes emerged: (1) factors affecting intention to use, (2) concerns and barriers, and (3) solutions and recommendations. Influenced factors were identified as perceived usefulness, perceived need, perceived ease of use, perceived benefits, familiarity, trust in technology, advice acceptance, facilitating conditions (family support), and compatibility. Older participants, particularly those with lower educational attainment, displayed less familiarity with mHealth. Lack of digital literacy, health and aging issues, worry about making mistakes, and social issues emerged as central barriers. Addressing these factors in the design and promotion of mHealth can enhance its successful adoption among the elderly.
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Registered trials
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.