| Unique ID issued by UMIN | UMIN000053732 |
|---|---|
| Receipt number | R000061168 |
| Scientific Title | Validation of the Utility of Personal Health Record for Prevention of Diabetes Onset and Progression: A Randomized Controlled Trial of Urban and Rural Residents in Kyoto, Japan |
| Date of disclosure of the study information | 2024/02/28 |
| Last modified on | 2026/03/10 11:35:59 |
Validation of the Utility of Personal Health Record for Prevention of Diabetes Onset and Progression: A Randomized Controlled Trial of Urban and Rural Residents in Kyoto, Japan
Validation of the Utility of PHR for Prevention of Diabetes Onset and Progression in Kyoto City, Japan
Validation of the Utility of Personal Health Record for Prevention of Diabetes Onset and Progression: A Randomized Controlled Trial of Urban and Rural Residents in Kyoto, Japan
Validation of the Utility of Personal Health Record for Prevention of Diabetes Onset and Progression: A Randomized Controlled Trial of Urban and Rural Residents in Kyoto, Japan
| Japan |
Diabetes
| Endocrinology and Metabolism | Adult |
Others
NO
To determine the effect of PHR usage for diabetes on enhancing lifestyle and related indicators among urban and rural residents
Efficacy
Change in average number of step
Change in Time in range, Change in weight and blood pressure etc.
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
No treatment
2
Prevention
| Other |
Advice on using PHR
Non
| 40 | years-old | <= |
| Not applicable |
Male and Female
Residents of designated areas in Kyoto City
Individuals aged 40 and above
Those whose recent blood tests, such as health examination results, show an HbA1c level of 5.6% or higher
Individuals who possess a smartphone and are capable of installing required applications
Patients with mental illnesses
Individuals with difficulty walking
Those deemed inappropriate by a physician (including type 1 diabetes)
Individuals who cannot understand Japanese (those who cannot communicate in Japanese)
110
| 1st name | Taku |
| Middle name | |
| Last name | Iwami |
Kyoto University, Graduate School of Medicine
Department of Preventive Services
606-8501
Yoshida-konoecho, Sakyo-ku, Kyoto-shi, Kyoto
0757534400
kyotophryobou@gmail.com
| 1st name | Yukiko |
| Middle name | |
| Last name | Tateyama |
Kyoto University, Graduate School of Medicine
Department of Preventive Services
606-8501
Yoshida-konoecho, Sakyo-ku, Kyoto-shi, Kyoto
0757534400
kyotophryobou@gmail.com
Kyoto University
Ministry of Health, Labour and Welfare
Japanese Governmental office
Kyoto university Graduate school and faculty of medicine, ethics committee
Yoshida Konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto
075-753-4680
ethcom@kuhp.kyoto-u.ac.jp
NO
| 2024 | Year | 02 | Month | 28 | Day |
Unpublished
101
Ninety-six participants (49 intervention, 47 control; mean age 63.1 years; 31.3% rural) were analyzed. The between-group difference in the change in average daily steps (intervention - control) was 1,195 steps (95% CI: 153.5 to 2,237.2; p = 0.025). For glycemic control, the between-group differences in the change in time in range and glucose management indicator were 1.6% (95% CI: -6.50 to 3.29) and -0.01% (95% CI: -0.24 to 0.21), respectively.
| 2026 | Year | 03 | Month | 10 | Day |
Personal Health Records (PHRs) integrate health checkups, medical, and lifestyle data, and are expected to support health promotion and disease prevention. However, evidence on linking PHR use with lifestyle modification and behavioral change remains limited. This study evaluated the effectiveness of a PHR-based intervention for diabetes prevention.
A randomized controlled trial was conducted from March 2024 to March 2025 among residents aged >=40 years in Kyoto City and surrounding areas with HbA1c >=5.6%. Participants were randomized with stratification by sex and residential area.
None
All participants collected PHR data via a smartphone application, a wrist-worn activity tracker, and continuous glucose monitoring. The intervention group additionally received monthly lifestyle counseling by health promoters, based on PHR data visualized on a web dashboard. The primary outcome was the change in average daily steps at 3 months. Secondary outcomes included glycemic control, blood pressure, BMI, and related measures. Between-group differences in changes over time were analyzed using ANCOVA adjusted by baseline, age, and sex, residential area.
Completed
| 2024 | Year | 02 | Month | 14 | Day |
| 2024 | Year | 02 | Month | 26 | Day |
| 2024 | Year | 03 | Month | 23 | Day |
| 2025 | Year | 03 | Month | 17 | Day |
| 2024 | Year | 02 | Month | 28 | Day |
| 2026 | Year | 03 | Month | 10 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000061168