ArticleFrontiers in public health2023
Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- User experiences and perceptions on the use of digital health technologies in the management of type 2 diabetes: an integrative systematic review.Frontiers in clinical diabetes and healthcare · 2026Pooled it
- The eHealth literacy and its sociodemographic determinants among adult inpatients in Web 3.0 context: a cross-sectional study.BMC public health · 2026Article
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Navigating crisis: teleconsultation use and its determinants among internally displaced persons in wartime Sudan.BMC health services research · 2025Article
- Gene-Diet Interactions in Diabetes Mellitus: Current Insights and the Potential of Personalized Nutrition.Genes · 2025Review
- Investigating Continuance Intention for Telehealth Visits in Children's Hospitals: Survey-Based Study.Journal of medical Internet research · 2025Article
- Health literacy and guideline-adherent lifestyle in people with chronic kidney disease: exploring factors associated with usage intention of a structured m-health program and pilot data on actual behavior change.Frontiers in nephrology · 2025Article
- Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.Frontiers in public health · 2024Article
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Authors and funding
8 authors.
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Abstract
Background: The global burden of type 2 diabetes has significantly increased, leading to a considerable impact on healthcare systems worldwide. While the advent of mobile healthcare has provided some relief by addressing the shortage of certain medical resources, its adoption among the Chinese population remains relatively low. To extend the benefits of mHealth to a greater number of Chinese diabetic patients, it is essential to investigate the factors that influence their willingness to utilize it and implement targeted interventions based on these influencing factors. The Technology Acceptance Model (TAM) is widely employed to examine users' ultimate usage behaviors, and previous studies have indicated the potential relevance of the Perceived Risk (PR) theory and the eHealth Literacy Theory to users' usage behaviors. Objective: Our objective was to investigate the determinants that affect the willingness of Chinese patients diagnosed with type 2 diabetes patients to utilize digital disease management applications (DDMAs). Methods: We conducted a cross-sectional study of patients with type 2 diabetes in three tertiary general hospitals in Chengdu using questionnaires designed by the investigators. Participants were sampled using a convenience sampling method. The questionnaire comprised three sections: socio-demographic profile and medical history; current awareness and willingness to use digital disease management applications; and the current level of e-health literacy. Structural equation modeling was employed to assess the impact of patient awareness of DDMAs and e-health literacy on the willingness to use such DDMAs. Results: (1) Patients' attitudes toward using DDMAs were significantly influenced by perceived ease of use ( Conclusions: The present research findings hold both theoretical and practical significance, and can serve as a guide for healthcare practitioners and researchers to gain a deeper comprehension of the acceptance of digital disease management applications (DDMAs) among type 2 diabetes patients.
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