Diabetic Patients,Self-Efficacy,Self-Care Behaviors,Artificial Intelligence-Based

Chia-Tzu Line

Status: Completed

Conditions: Type 2 Diabetes Mellitus (T2DM); Diabetic Patients,Self-Care,Artificial Intelligence-Based,Self-Efficacy

Treatments: Behavioral: LINE@ Diabetes Health Education Chatbot

Study type: Interventional

Funder types: Other

Identifiers

NCT06985680

WeiGongMemorial

Details and patient eligibility

About

This study employed an experimental research design using a randomized controlled trial methodology. Group allocation was performed randomly by generating serial numbers through a computer. Participants were then randomly assigned to either the experimental or control group by placing the serial numbers into opaque envelopes and selecting envelopes in random order as patients arrived for appointments.

The experimental group received conventional face-to-face education in addition to participating in the "Diabetes Smart Assistant" Line@ diabetes education robot program. Education was delivered individually in a one-on-one manner. Researchers spent 15 minutes instructing participants on the operation and usage of the Line@ diabetes education robot program, followed by educational content delivery. Educational sessions lasted for 30 minutes on the day of enrollment, and 15 minutes each at the 3rd and 6th months of enrollment, totaling three one-on-one educational sessions. Additionally, participants received telephone consultations for follow-up during the enrollment period. Telephone education sessions were conducted in the first week of enrollment, the second month, and the fourth month, each lasting 10 minutes, totaling three sessions.

The control group received routine education and had follow-up visits every three months for one-on-one education. Data collection for both groups occurred at the time of enrollment, and at the 3rd and 6th months of enrollment.

Enrollment: 104 patients

Sex: All

Ages: 18 to 80 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

1. Diagnosed with type 2 diabetes by a physician and enrolled as a patient in the Diabetes Collaborative Care Network.
2. Aged 18 years or older.
3. Owns a smartphone and agrees to join the "Diabetes Smart Helper" LINE@ Diabetes Health Education Chatbot application.
4. HbA1c level greater than 7.0% (as referenced in Changsieng et al., 2023; Selçuk-Tosun & Zincir, 2019).

Exclusion criteria

1. Patients undergoing hemodialysis or peritoneal dialysis.
2. Patients diagnosed with mental illness.
3. Illiterate patients.

Trial design

Primary purpose: Supportive Care

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

---

104 participants in 1 patient group

LINE@ Diabetes Health Education Chatbot

Other group

Description:

The research involves the application of the "Diabetes Smart Helper" LINE@ Diabetes Health Education Chatbot for intervention measures. This application includes AI automatic message responses and provides push notifications of diabetes-related medical and healthcare knowledge to ensure that the public receives accurate medical information (Chinese Diabetes Health Education Association, 2021).

Treatment:

Behavioral: LINE@ Diabetes Health Education Chatbot