Development and evaluation of a diabetes self-management program using artificial intelligence phone calls for older adults: a cluster randomized controlled trial

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0010954

Enrollment

Registered

2025-08-28

Start date

2025-09-09

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Behavioral : (1) Intervention group (n=20): Multifaceted intervention program The intervention will be conducted over 8 weeks and is designed as a multifaceted program including group education (lectu

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: - Older adults aged 65 years or older who have been diagnosed with diabetes by a physician - Individuals who own a personal mobile phone - Individuals without communication impairments - Individuals with no cognitive impairment as assessed by the Cognitive Impairment Screening Test (CIST)

Exclusion criteria

Exclusion criteria: - Individuals with prior experience using artificial intelligence (AI)-based telephone services - Individuals participating in another diabetes self-management program during the same period - Individuals who have communication difficulties even when using assistive devices

Design outcomes

Primary

Measure	Time frame
Diabetes Self-Care Activities ;Clinical indicators of diabetes (postprandial 2-hour blood glucose, HbA1c, blood lipids, blood pressure, insulin resistance)	—

Secondary

Measure	Time frame
depressive symptoms	—

Countries

Korea, Republic of

Contacts

Public ContactYujin Park

Seoul National University

yujin@snu.ac.kr+82-2-740-8457

Outcome results