Unique ID issued by UMIN | UMIN000036226 |
---|---|
Receipt number | R000041271 |
Scientific Title | Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees: Non-randomized, single-arm, pre-and-post design trial (A Pilot Study) |
Date of disclosure of the study information | 2019/03/18 |
Last modified on | 2020/06/13 12:08:21 |
Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees
The effects of IoT-based behavioral change program for employees
Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees: Non-randomized, single-arm, pre-and-post design trial (A Pilot Study)
The effects of IoT-based behavioral change program for employees (A Pilot Study)
Japan |
Diabetes, CKS, CVD, Sleep disorder, High stress, Metabolic syndrome
Nursing | Adult |
Others
NO
Develop and implement IoT-based behavioral change programs to solve employee health problems for small and medium-sized companies that do not require the placement of occupational physicians or occupational health nurses, and evaluate the effects and the feasibility.
Others
Effects and Feasibility of the programs
Exploratory
Pragmatic
Not applicable
As it is an exploratory study, multiple evaluation items are set.
1. Engagement: Program participation agreement rate (at registration) and continuation rate (monthly, 3 months)
2. Behavior change degree (change stage: lifestyle: diet, exercise, smoking cessation, alcohol saving, self-monitoring, medication, regular hospital visit)
3. Implementation rate of self-monitoring (count of self-measurement count and number of feedback)
4. Physiological and behavioral indicators (calorie consumption, sleep, meal management, automatic meal time, pulse / heart rate, conversation volume, activity) Use only collected data items
5. Sleep improvement: Pittsburgh Sleep Quality Index (PSQI)
6. Operational Feasibility of Behavior Change Program Using IoT: Function of IoT and AI Application: Convenience, Satisfaction of Overall Application
7. Qualitative evaluation: Interveiws with management, health management staff, disease management company, association Kenpo, health management adviser)
The following data collected in epidemiological research (health management evaluation) will also be evaluated secondarily.
-Physiological indicators: Advanced Glycation End Products (AGEs), blood pressure, body weight
-Work engagement (UWES: Utrecht Work Engagement Scale) score
-Presentism/absenteeism (WHO-HPQ, short version) score
-Stress (work stress questionnaire (stress check) score
-Health literacy scale-Degree of interest in one's own body: Likert scale (0 to 10)
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Educational,Counseling,Training
Behavior,custom |
1. Disease management program for diabetes, CKD, CVD
2. Improvement of sleep and stress program
3. Antiaging program
At first, a face-to-face health education by a nurse is provided. Then participants wear IoT devices. Data are wired to the participants, disease management company, and their physicians (when needed). The participants receive automatic feedback messages based on their data from the disease management company. They are required to change their health-related behavior. All of the programs were 3-month long, and if needed, participants repeat one more time.
Wearable devices: Participants choose either one: Charge 3 (Fitbit), Silmee TM W20 (TDK), MOVEBAND 3R (NTT Docomo),GoBe2(HEALBE). FreeStyle Libre
20 | years-old | <= |
Not applicable |
Male and Female
Employees from small and midium-sized companies (ACT CHUSHOKU, Co. LTD., Miyoshi Kamotsu Express, FRESTA, Co., LTD., TSUBAME Travel Co., LTD) .
(Applicable for all 3 programs)
1. Employees listed above who have consented to participate
2. Those who can participate for 3 months after consent
3. A person who has a device such as a smartphone, tablet terminal, personal computer, etc. that can receive feedback on transmitted data and alert messages
Disease Management program: having diagnosis of diatetes, CKD, CVD
Improvement of sleep and stress program: having sleep-disorders (self-reported), feeling high stress, depression
Antiaging program: Metabolic symdrom, hypertension, Dyslipidemia, BMI > 25, smoker, excessive alcohol drinker, and other who are required to apply the behavior modification program
1 Those who can not agree to participation
2 Those who have not been enrolled in the research site for more than one month after consenting
3. Person who has treatment and situation that should be prioritized over this program
4 Persons who are considered by the health management personnel of the company and/or researchers that there is a problem and it is difficult to continue the program
200
1st name | Michiko |
Middle name | |
Last name | Moriyama |
Hiroshima University
Graduate School of Biomedical and Health Sciences
734-8553
Kasumi 1-2-3, Minami-ku, Hiroshima
082-257-5365
morimich@hiroshima-u.ac.jp
1st name | Ayako |
Middle name | |
Last name | Toyoshima |
Hiroshima University
Graduate School of Biomedical and Health Sciences
734-8553
Kasumi 1-2-3, Minami-ku, Hiroshima
082-257-5365
d161682@hiroshima-u.ac.jp
Graduate School of Biomedical and Health Sciences
Hiroshima University
Other
Hiroshima University Research Ethics Committee
Kasumi 1-2-3, Minami-ku, Hiroshima
082-257-1752
protocol@cimr.hiroshima-u.ac.jp
NO
株式会社フレスタ(広島県)、アクト中食株式会社(広島県)、つばめ交通株式会社(広島県)、三次貨物運輸(広島県)
2019 | Year | 03 | Month | 18 | Day |
Unpublished
0
Terminated
2018 | Year | 11 | Month | 14 | Day |
2018 | Year | 12 | Month | 13 | Day |
2019 | Year | 04 | Month | 01 | Day |
2021 | Year | 03 | Month | 31 | Day |
2019 | Year | 03 | Month | 17 | Day |
2020 | Year | 06 | Month | 13 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000041271