An interventional study of AI-Collaborative eHealth Education in Digital Health Literacy and Healthy Aging, sponsored by Tri-Service General Hospital (TSGH). Recruiting at 2 sites in Taiwan. Open to participants aged 50 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-04-13.
Sponsored by Tri-Service General Hospital (TSGH) · Not applicable, Interventional, and Health services research
The purpose of this study is to evaluate the effectiveness of two different educational models in improving the use of the "My Health Bank" App (a Personal Health Record system in Taiwan) among adults aged 50 and older. As Taiwan's population ages, digital health management has become essential, yet older adults often face a "digital divide." Participants will be randomly assigned to either a "Intensive Guided Learning group" (receiving one-on-one human instruction) or a "Flexible Self-study group" (using self-learning materials co-created with Generative AI). The study aims to compare the outcomes of these two groups in terms of enhancing digital health literacy, self-efficacy, and actual App usage behavior to identify more effective and scalable digital health education strategies.
This study is conducted over a period of 18 months (from March 1, 2026, to August 31, 2027) and is divided into three strategic phases:
Phase 1 (Months 1-6): Focuses on the development of AI-collaborative educational materials, expert validity review, and a questionnaire pre-test (n=15). A Pilot Randomized Controlled Trial (Pilot RCT, n=60) will be executed to verify the feasibility and readability of the intervention materials.
Phase 2 (Months 7-15): The formal enrollment and intervention phase. A full-scale Randomized Controlled Trial (Full-scale RCT, n=160) will be conducted using a single-blind, two-arm design. Participants will be randomly assigned to either the "Intensive Guided Learning group" or the "Flexible Self-study group," with longitudinal data collection and tracking at three time points.
Phase 3 (Months 16-18): Data processing, advanced statistical analysis (including SEM to verify empowerment mechanisms), and final manuscript preparation.
The study aims to provide empirical evidence for scalable digital health education strategies to reduce the "digital divide" among adults over 50.
201 studies on the registry are indexed under Literacy; 69 are open to participants now.
This study's planned enrollment of 235 is above the median of 124 across 170 interventional studies indexed under Literacy.
Browse Literacy studies →Tri-Service General Hospital (TSGH) is the lead sponsor of 38 studies on the registry; 12 are open to participants now.
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Exclusion Criteria:
Participants receive AI-collaborative educational materials with intensive guidance from instructors.
Behavioral: AI-Collaborative eHealth Education
Participants receive the same AI-collaborative educational materials as the experimental group but engage in self-paced learning without intensive instructor-led guidance. This group serves to evaluate the baseline effectiveness of the digital materials when used independently.
Behavioral: AI-Collaborative eHealth Education
This behavioral intervention consists of a structured eHealth literacy curriculum using AI-collaborative educational materials. The program focuses on teaching participants how to utilize the "My Health Bank" platform for personal health management. The intervention is delivered in two formats depending on group assignment: The experimental group receives intensive instructor-led guidance and hands-on practice. The control group engages in flexible self-study using the same AI-generated materials. The curriculum aims to enhance digital health literacy, self-efficacy, and active engagement (measured by frequency of use) with digital health tools among older adults.
Change in eHealth Literacy Scale (eHEALS) Score
The eHealth Literacy Scale (eHEALS) is used to measure participants' combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems. The scale contains 8 items, each scored on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Total scores range from 8 to 40, with higher scores indicating higher perceived eHealth literacy.
Time frame: Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)
Change in General Self-Efficacy Scale (GSES) Score
This scale is used to assess participants' self-efficacy in managing their health and using digital tools. It consists of 5 items, with each item scored on a 10-point scale ranging from 1 (not confident at all) to 10 (completely confident). The total score ranges from 5 to 50. A higher score indicates a stronger sense of self-efficacy in health management and digital tool proficiency.
Time frame: Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)
Post-Intervention Digital Health Management Behavior
This measures the frequency and proficiency of participants' actual use of digital health tools, specifically the "My Health Bank" platform. Depending on the questionnaire used (e.g., a self-reported health behavior frequency scale), each item is typically scored on a Likert scale. Total scores reflect the active engagement level in digital health self-management. Higher scores indicate more frequent and positive health-promoting behaviors.
Time frame: 4-weeks post-intervention (T2)
Plan to share: No — To protect participant privacy and maintain data confidentiality according to the approved IRB protocol.
No publications or documents are linked to this record.
Started Apr 2026 (actual). Primary completion is estimated for Mar 2027, 11 months after the start.
Of 115 non-industry interventional studies with no phase under Literacy, half reached primary completion within 11 months of starting (the median), counting those still running; a quarter within 4 and three quarters within 20. This study's planned 11 months is close to that.
Counting every sponsor, half of 117 studies reached it within 11 months; a quarter within 4 and three quarters within 19.
How these figures are worked out, and which studies are left out of them.
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Tri-Service General Hospital (TSGH)