| Unique ID issued by UMIN | UMIN000062479 |
|---|---|
| Receipt number | R000071509 |
| Scientific Title | Stratified randomized controlled trial |
| Date of disclosure of the study information | 2026/08/05 |
| Last modified on | 2026/08/05 16:06:05 |
Effectiveness of an ICT-Based Regional Collaboration System Combined with an AI-Enabled Personal Health Record for Glycemic Management in Individuals with Impaired Glucose Tolerance
Evaluation of the Effectiveness of an AI-Enabled Personal Health Record-Based Support Intervention for Glycemic Management
Stratified randomized controlled trial
RCT
| Japan |
People with type 2 diabetes mellitus or impaired glucose tolerance (Excluding non-obese individuals)
| Endocrinology and Metabolism |
Others
NO
The aim of this study is to evaluate the effectiveness of AI-based remote nutritional support compared with conventional face-to-face support using a Personal Health Record (PHR) system in diabetes care. Furthermore, we aim to identify factors associated with improvements in clinical outcomes to develop more effective and personalized support strategies. In addition, we will investigate whether automated feedback and reminder functions provided by AI can contribute to reducing the burden on healthcare professionals and establish a framework for continuous support under limited medical resources.
Others
Between-group difference in the change in HbA1c from baseline to 6 months after the intervention.
Confirmatory
Pragmatic
Not applicable
Between-group difference in the change in HbA1c from baseline to 6 months after the intervention.
Between-group differences in changes in body weight and CGM-derived parameters at baseline, 2, 4, and 6 months.
Interventional
Parallel
Randomized
Individual
Open -but assessor(s) are blinded
No treatment
2
Treatment
| Behavior,custom | Other |
Only participants in the intervention group will receive AI messages. The AI message intervention will start 2 weeks after the index date and continue for 6 months.
Participants in the control group will not receive AI message-based intervention and will receive usual care.
| 18 | years-old | <= |
| Not applicable |
Male and Female
1.Patients who have been using the Health2Sync application for at least 6 months at the time of enrollment.
2.Patients who are 18 years of age or older at the time of informed consent.
3.No restriction on sex.
4.Patients with a body weight change of less than 5% during the 6 months before enrollment.
5.Patients with an HbA1c change of less than 0.5% during the 6 months before enrollment.
6.Patients who have received sufficient information about the study, fully understood the study, and provided written informed consent voluntarily.
1.Patients who had an addition or change in antidiabetic medications during the study period
2.Patients who were judged by the attending physician to be inappropriate for participation in the study
60
| 1st name | Isaki |
| Middle name | |
| Last name | Hanamura |
University of Nagasaki
Department of Nutrition Science, Faculty of Nursing and Nutrition
851-2195
1-1-1 Manabino, Nagayo-cho, Nishisonogi-gun, Nagasaki, Japan
0958135493
hanamura02@sun.ac.jp
| 1st name | Isaki |
| Middle name | |
| Last name | Hanamura |
University of Nagasaki
Department of Nutrition Science, Faculty of Nursing and Nutrition
851-2195
1-1-1 Manabino, Nagayo-cho, Nishisonogi-gun, Nagasaki, Japan
0958135493
hanamura02@sun.ac.jp
University of Nagasaki
Japan Science and Technology Agency
Japanese Governmental office
University of Nagasaki
1-1-1 Manabino, Nagayo-cho, Nishisonogi-gun, Nagasaki, Japan
095-813-5500
hanamura02@sun.ac.jp
NO
| 2026 | Year | 08 | Month | 05 | Day |
Unpublished
Preinitiation
| 2025 | Year | 07 | Month | 31 | Day |
| 2026 | Year | 08 | Month | 17 | Day |
| 2027 | Year | 12 | Month | 31 | Day |
| 2026 | Year | 08 | Month | 05 | Day |
| 2026 | Year | 08 | Month | 05 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071509