FindTrial
Sign In

Development of a model for supporting a health and productivity management of small and medium-sized companies using IoT and AI contributing to the mental and physical health improvement of employees

Development of a model for supporting a health and productivity management of small and medium-sized companies using IoT and AI contributing to the mental and physical health improvement of employees: A Mixed Method - Development of a model for supporting a health and productivity management of small and medium-sized companies using IoT: A Mixed Method

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000036231
Enrollment
440
Registered
2019-03-18
Start date
2019-04-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

None listed

Interventions

None listed

Sponsors

Hiroshima University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All employees (included Regular and part-time employment, all types of work-style) from small and medium-sized companies (ACT CHUSHOKU, Co. LTD., Miyoshi Kamotsu Express (ended in July 2020), FRESTA, Co., LTD., TSUBAME Travel Co., LTD), and who did not opt-out in this study.

Exclusion criteria

Exclusion criteria: 1 Those who requested opt-out in this study 2 Part-time job students 3 Those who are absent for more than 3 months in the study site for any reason

Design outcomes

Primary

MeasureTime frame
As it is an exploratory study of evaluating the model, multiple evaluation items are set. 1. Psychological Indicators: Work engagement (UWES: Utrecht Work Engagement Scale) score, Job and family satisfaction (work stress questionnaire) 2. Labor Productivity: Presentism / absentism (WHO-HPQ, short version) score 3. Sleep improvement: Pittsburgh Sleep Quality Index (PSQI) 4. Health literacy: HLS-EU-Q47 Japanese version, Degree of interest one's own body: Likert scale (0 to 10) 5. Behavior change indicators: Frequency rate of using IoT and changes in values 6. Physiological Indicators (collected by IoT): blood pressure, body weight 7. Qualitative evaluation of this model: Interviews and observation: progress of the health and productivity management, evaluation of this model, attainment rate of health-checkup, improvement of health checkup results/number of medical treatment needy/who made a hospital visits/without hospital visits employees—

Countries

Japan

Contacts

Public ContactMichiko Moriyama

Hiroshima University Graduate School of Biomedical and Health Sciences

morimich@hiroshima-u.ac.jp082-257-5365

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026