ArticleInternational journal of environmental research and public health2024
Understanding Factors Influencing Diabetic Patients' Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model.
Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Digital Health Adoption Among Patients with Diabetes inQassim Unaizah, Saudi Arabia: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Pharmacists' Interventions in Virtual Diabetes Clinics: Cost-Effectiveness Feasibility Study.Healthcare (Basel, Switzerland) · 2025Article
- Anticipations and Requirements of Individuals with Long-Term Health Conditions Regarding Self-Management and Digital Health Support Tools.Patient preference and adherence · 2025Article
- Acceptance Scale for Traditional Chinese Medicine Techniques in Cancer Patients: Development and Validation.Patient preference and adherence · 2025Article
- Telehealth Adoption Among Saudi Older Adults: A Qualitative Analysis of Utilization and Barriers.Healthcare (Basel, Switzerland) · 2024Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients' intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients' acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients' opinions regarding the usefulness and ease of use of digital healthcare technologies. The proposed model extends the traditional Technology Acceptance Model by adding two new constructs, perceived privacy and trust. These constructs were examined by analyzing the intentions of 600 respondents through online surveys. The study's conclusions showed that attitudes toward using digital health services for KSA diabetic patients are greatly influenced by every component of the extended Technology Acceptance Model. The study's conclusions add to the body of knowledge already in existence and offer insightful information to decision-makers hoping to improve digital health services.
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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.