Verification of the effects of the Dementia Care-assist AI (DeCaAI), which use sensor data and care record data, in group homes for people with dementia.

UMIN ID: UMIN000044715

Registered date:01/07/2021

Basic Information

• Recruitment status: Complete: follow-up continuing
• Health condition(s) or Problem(s) studied: Dementia
• Date of first enrollment: 2021/07/01
• Target sample size: 180
• Countries of recruitment: Japan
• Study type: Interventional

Intervention(s)

Introduction of vital sensors, environmental sensors, and hearable devices for care records. The AI analyzes predict BPSD from the care data, and simultaneously proposes optimal care to the staff. Care worker will practice this intervention for 3 months.
Continue conventional care for 3 months as a control group without using the above sensors and devices.
After the completion of intervention 1, optimal care is not proposed from AI, and the care worker practices care without the BPSD prediction function for 3 months.
After the completion of Intervention 2, a sensor and device different from Intervention 1 will be introduced, AI predicts BPSD and proposes optimal care. Care workers will practice it for 3 months.

Outcome(s)

• Primary Outcome: The person with dementia : Severity of BPSD Care worker : Time study
• Secondary Outcome: The person with dementia : QOL, ADL Care worker : Burden of BPSD, QOL

Key inclusion & exclusion criteria

• Age minimum: 65years-old
• Age maximum: Not applicable
• Gender: Male and Female
• Exclude criteria: 1) Rank C (bedridden) is excluded from the degree of independence in daily life of the elderly with disabilities. 2) Tube feeding is excluded. 3) Excludes those for which consent cannot be obtained. 4) Even after the start of measurement, if a new disease occurs or if the activity level has dropped sharply in the subject, it is excluded from the study.

Related Information

• Primary Sponsor: Tokyo Center for Dementia Care Research and Practice in Tokyo
• Secondary Sponsor: Senior Dementia Institute The University of Electro-Communications National Institute of Advanced Industrial Science and Technology University of Hyogo International University of Health and Welfare Saitama Prefectural University Gunma University National Center for Geriatrics and Gerontology Nihon Fukushi University Allm Inc.
• Source(s) of Monetary Support: Japan Agency for Medical Research and Development(AMED)