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Just-In-Time Adaptive Interventions for Diabetic Patients

Promoting Self-management Behaviours Among Older Adults With Diabetes Mellitus by Integrating Just-In-Time Adaptive Interventions in Mobile Health Applications: A Randomized Controlled Trial

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06466837
Enrollment
184
Registered
2024-06-20
Start date
2024-09-01
Completion date
2026-08-31
Last updated
2026-09-17

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

Conditions

Diabetes, Self-Control, Telemedicine

Keywords

telecare, older adults, diabetes

Brief summary

The addition of proactive nurse consultations was useful to older adults with diabetes mellitus in facilitating their chronic disease self-management. However, the service is time and resource-intensive. With the support of advanced technology, mhealth App seems to be a convenient way to support patients in managing diabetes.

Detailed description

This study examines the effectiveness of mhealth App plus nurse consultations in promoting self-management behaviours for diabetic patients.

Interventions

BEHAVIORALJust-in-time intervention

The intervention group participants will receive just-in-time intervention from a developed app for healthy behavior reminder

BEHAVIORALActive control

The control group participants will receive six nursing consultations during the 3-month program period.

Sponsors

The Hong Kong Polytechnic University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Outcomes Assessor)

Masking description

The research assistant, who will be responsible for data collection, will be masked for the group allocation during the whole process.

Intervention model description

Single-blinded, two-armed, randomized controlled trial.

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* With a confirmed DM diagnosis for one year or more than one year * Using governmental mhealth App * Living in an area with Internet coverage

Exclusion criteria

* Already engaged in other mHealth programmes * Physical and cognitive limitations

Design outcomes

Primary

MeasureTime frameDescription
Change in HbA1cbaseline, three-month, and six-monthMeasured using the A1C Now device, with blood drawn from the subjects' finger
Diabetic self-management behaviourbaseline, three-month, and six-monthmeasured using the Summary of Diabetes Self-care. Total scores range from 0 to 42, with higher scores representing better self-management performance. Activities questionnaire

Secondary

MeasureTime frameDescription
Change in quality of lifebaseline, three-month, and six-monthBy using the Chinese version of the 12-item Short Form Health Survey. Total score ranges from 0 to 100, higher the better. version 2
Change in medication adherencebaseline, three-month, and six-monthMeasure this by using the Adherence to Refills and Medications Scale. Scores from 12 to 48, higher score better medication adherence.
Change in health service utilizationbaseline, three-month, and six-monthMeasure the total number of unscheduled visits to general out-patient departments, general practitioners, emergency departments, and hospitals, and the total frequency of health service attendance
Costthree-month, and six-monthThe cost of the app, including development of new features and maintenance costs, will be estimated from the provider and societal perspectives, including the subjects' travelling costs and time. An ingredient approach will be adopted to estimate the cost.
satisfaction with the JITAIs, as well as usability and technical problemsthree-monthusing semi-structured group interviews with the intervention group participants

Countries

Hong Kong

Contacts

PRINCIPAL_INVESTIGATORArkers Wong, PhD

The Hong Kong Polytechnic University

PRINCIPAL_INVESTIGATORArkers NR Wong

The Hong Kong Polytechnic University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 18, 2026