UMIN-CTR Clinical Trial

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

* This page includes information on clinical trials registered in UMIN clinical trial registed system.
* We don't aim to advertise certain products or treatments


Basic information

Public title

Examination of effects and feasibility of behavior change programs using IoT and AI contributing to mental and physical health promotion of employees

Acronym

The effects of IoT-based behavioral change program for employees

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)

Scientific Title:Acronym

The effects of IoT-based behavioral change program for employees (A Pilot Study)

Region

Japan


Condition

Condition

Diabetes, CKS, CVD, Sleep disorder, High stress, Metabolic syndrome

Classification by specialty

Nursing Adult

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

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.

Basic objectives2

Others

Basic objectives -Others

Effects and Feasibility of the programs

Trial characteristics_1

Exploratory

Trial characteristics_2

Pragmatic

Developmental phase

Not applicable


Assessment

Primary outcomes

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)

Key secondary outcomes

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)


Base

Study type

Interventional


Study design

Basic design

Single arm

Randomization

Non-randomized

Randomization unit


Blinding

Open -no one is blinded

Control

Uncontrolled

Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms

1

Purpose of intervention

Educational,Counseling,Training

Type of intervention

Behavior,custom

Interventions/Control_1

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

Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

20 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

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

Key exclusion criteria

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

Target sample size

200


Research contact person

Name of lead principal investigator

1st name Michiko
Middle name
Last name Moriyama

Organization

Hiroshima University

Division name

Graduate School of Biomedical and Health Sciences

Zip code

734-8553

Address

Kasumi 1-2-3, Minami-ku, Hiroshima

TEL

082-257-5365

Email

morimich@hiroshima-u.ac.jp


Public contact

Name of contact person

1st name Ayako
Middle name
Last name Toyoshima

Organization

Hiroshima University

Division name

Graduate School of Biomedical and Health Sciences

Zip code

734-8553

Address

Kasumi 1-2-3, Minami-ku, Hiroshima

TEL

082-257-5365

Homepage URL


Email

d161682@hiroshima-u.ac.jp


Sponsor or person

Institute

Graduate School of Biomedical and Health Sciences

Institute

Department

Personal name



Funding Source

Organization

Hiroshima University

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Hiroshima University Research Ethics Committee

Address

Kasumi 1-2-3, Minami-ku, Hiroshima

Tel

082-257-1752

Email

protocol@cimr.hiroshima-u.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions

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)


Other administrative information

Date of disclosure of the study information

2019 Year 03 Month 18 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled

0

Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Terminated

Date of protocol fixation

2018 Year 11 Month 14 Day

Date of IRB

2018 Year 12 Month 13 Day

Anticipated trial start date

2019 Year 04 Month 01 Day

Last follow-up date

2021 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information



Management information

Registered date

2019 Year 03 Month 17 Day

Last modified on

2020 Year 06 Month 13 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000041271


Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name