Effectiveness of Intensive Tutoring vs. Flexible Self-Learning on Digital Health Literacy and Self-Efficacy for "My Health Bank" App Use Among Adults Over 50

April 7, 2026 updated by: Kun-Yi Lin, Tri-Service General Hospital

Effectiveness of Intensive Tutoring vs. Flexible Self-Learning on Digital Health Literacy and Self-Efficacy for "My Health Bank" App Use Among Adults Over 50: A Randomized Controlled Trial Using AI-Co-Created Materials

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.

Study Overview

Status

Recruiting

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

235

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Anle District
      • Keelung, Anle District, Taiwan, 204
        • Recruiting
        • Anle District Health Center and Affiliated Community Centers
        • Contact:
    • Neihu District
      • Taipei, Neihu District, Taiwan, 114
        • Recruiting
        • Tri-Service General Hospital, Department of Orthopaedics
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Participants aged 50 years and older.
  • Possession of a smartphone with basic operational skills (e.g., unlocking the phone, making calls, and using LINE).
  • Self-reported lack of familiarity with the "My Health Bank" App (used less than 3 times or never used in the past year).
  • Proficiency in listening, speaking, reading, and understanding Mandarin Chinese.

Exclusion Criteria:

  • Regular users of the "My Health Bank" App (used 3 times or more in the past year).
  • Severe cognitive impairment identified through brief cognitive screening, the participant unable to follow instructions or complete questionnaires.
  • Smartphone operating system is too outdated to support the installation of the "NHI App" (National Health Insurance App).
  • Inability to complete the App download and installation process independently or with family assistance (e.g., lost App Store/Google Play password, insufficient storage space).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intensive Guided Learning Group
Participants receive AI-collaborative educational materials with intensive guidance from instructors.
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.
Active Comparator: Flexible Self-study Group
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.
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in eHealth Literacy Scale (eHEALS) Score
Time Frame: Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)
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.
Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in General Self-Efficacy Scale (GSES) Score
Time Frame: Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)
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.
Baseline (T0), 1-week post-intervention (T1), and 4-weeks post-intervention (T2)
Post-Intervention Digital Health Management Behavior
Time Frame: 4-weeks post-intervention (T2)
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.
4-weeks post-intervention (T2)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Kun-Yi Lin, MD, PhD, Department of Orthopaedics, Tri-Service General Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 2, 2026

Primary Completion (Estimated)

March 9, 2027

Study Completion (Estimated)

March 9, 2027

Study Registration Dates

First Submitted

March 31, 2026

First Submitted That Met QC Criteria

March 31, 2026

First Posted (Actual)

April 7, 2026

Study Record Updates

Last Update Posted (Actual)

April 13, 2026

Last Update Submitted That Met QC Criteria

April 7, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

To protect participant privacy and maintain data confidentiality according to the approved IRB protocol.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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