Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Frontiers in Digital HealthOpen Access

Determinants of chronic disease patients' intention to use Internet diagnosis and treatment services: based on the UTAUT2 model

View Full Paper
Ask AI
Bookmark
Share

Authors

JZJing ZhaoBLBei LiJSJianwei Sun

Discussion

Loading...

Member takes

Overview

Findings highlight key determinants affecting behavioral intentions in chronic disease patients, suggesting the role of trust and electronic health literacy.

Key Points

  • Empirical results indicate that social influence significantly shapes chronic disease patients' intentions to use internet diagnosis services.
  • Performance expectancy, effort expectancy, and electronic health literacy all positively influence behavioral intentions regarding service adoption.
  • The UTAUT2 model reveals additional constructs like trust, emphasizing their importance for improving user acceptance.
  • Targeted policy recommendations aim to enhance service utilization rates and boost the quality of diagnosis and treatment services.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5ff54b1d3bfb60e014ehttps://doi.org/10.3389/fdgth.2025.1543428
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Intention to use smartphone medical applications among patients with chronic disease in southwest Ethiopia: an extended UTAUT2 model approach2026
  2. 2Factors influencing the intention to use “Internet+Nursing Service” among enterostomy patients based on an extended UTAUT2 model2026
  3. 3Mobile Technology Adoption in Healthcare—A Behavioral Understanding of Chronic Patients’ Perspective2025
  4. 4Factors influencing the adoption of telemedicine services for middle-aged and elderly patients with chronic diseases in rural China: a multicenter cross-sectional study (Preprint)2024
  5. 5Toward Digital Hospital Services: Developing an Integrated Model to Understand Patient Intentions for Utilizing Online Hospital Service Platforms2024