ArticleJournal of medical Internet research2019
Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04841291 (Feasibility of Virtual Simulation-Based Diabetes Foot Care Education in Patients With Diabetes in Ethiopia), which is not on this map. Cited by 94 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Feasibility of Virtual Simulation-Based Diabetes Foot Care Education in Patients With Diabetes in Ethiopia
Who cites it
94 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review.International journal of public health · 2023Pooled it
- The Efficacy of Health Information Technology in Supporting Health Equity for Black and Hispanic Patients With Chronic Diseases: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Effectiveness of a WeChat Combined Continuous Flash Glucose Monitoring System on Glycemic Control in Juvenile Type 1 Diabetes Mellitus Management: Randomized Controlled Trial.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Trial
- Determining the adoption intention and influencing factors of telerehabilitation by people with rehabilitation needs: a cross-sectional survey.BMC public health · 2026Article
- Factors Associated with the Intention to Adopt Digital Health Technologies for Physical Activity Among People with Disabilities: An Integrated Technology Acceptance Model-Theory of Planned Behavior Framework.Healthcare (Basel, Switzerland) · 2026Article
- Technology Acceptance of 2 mHealth Apps During an Observational Technology Evaluation Study: Qualitative Results of a Mixed Methods Study.JMIR human factors · 2026Observational
- Bridging the Digital Divide: Socioeconomic and Educational Determinants of Telehealth Adoption Among Asian Americans with Type 2 Diabetes.Journal of racial and ethnic health disparities · 2026Article
- Influencing factors of continuance intention of medical applications for the elderly.Scientific reports · 2026Article
- The Role of Digital Media in Chronic Disease Self-Management: Protocol for a Multimethod Study of the DISELMA Research Consortium.JMIR research protocols · 2026Article
- Impact of technological acceptance on application-based engagement among type 2 diabetes patients: local insights and implications for developing countries.Journal of pharmaceutical policy and practice · 2026Article
- Understanding acceptance of digital smoking cessation interventions: user behavior, key influencing factors, and the role of reimbursement.BMC public health · 2025Article
- Article
- Affordance Types and Their Determinants in Patient Mobile Health Portals Use: An Empirical Investigation.Journal of medical Internet research · 2025Article
- Acceptance, Drivers, and Barriers to Use of mHealth Apps to Improve Quality of Life in Female Patients Affected by Hypothyroidism: Cross-Sectional Study.JMIR formative research · 2025Article
- Factors influencing the adoption of telemedicine services among middle-aged and older patients with chronic conditions in rural China: a multicentre cross-sectional study.BMC health services research · 2025Article
- Understanding Device Integrations Within Diabetes Apps: Mixed Methods Analysis of App Features and User Reviews.JMIR diabetes · 2025Article
- Article
- Impact of community public health care on treatment effect, health cognition, and self-management in patients with type 2 diabetes.World journal of clinical cases · 2025Article
- mHealth knowledge and usage in maternal healthcare delivery: perspectives and experiences of healthcare practitioners in Ghana.BMJ open · 2025Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients' intention to use these apps are unclear. Understanding the patients' behavioral intention is necessary to support the development and promotion of diabetes app use.
objectiveThis study aimed to identify the determinants of patients' intention to use diabetes management apps based on an integrated theoretical model.
methodsThe hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data.
resultsA total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=-0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001).
conclusionsPerformance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps' effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients' intention to use diabetes management apps. Context-related determinants should also be taken into consideration.
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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.