UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000059741
Receipt number R000068318
Scientific Title Development of a Comprehensive Health Advice Generation and Health Counseling Support System
Date of disclosure of the study information 2025/11/11
Last modified on 2025/11/11 18:43:19

* 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

Development of a Comprehensive Health Advice Generation and Health Counseling Support System

Acronym

Development of a Comprehensive Health Advice Generation and Health Counseling Support System

Scientific Title

Development of a Comprehensive Health Advice Generation and Health Counseling Support System

Scientific Title:Acronym

Development of a Comprehensive Health Advice Generation and Health Counseling Support System

Region

Japan


Condition

Condition

Frailty

Classification by specialty

Medicine in general Geriatrics Adult

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

The purpose of this study is to develop and implement a comprehensive health advice generation and health guidance support system suitable for installation in elderly care facilities and to verify its usefulness. Medical-grade measuring devices are used to conduct multifaceted assessments of physical function, cognitive function, sleep, and mental health, and a proprietary algorithm is used to automatically generate personalized comprehensive health advice. This advice does not complete health guidance on its own; rather, it is presented in conjunction with an interview support tool, helping to streamline and focus individual interviews by public health nurses.
The primary outcome to be verified in this study is satisfaction with public health nurse interviews. We will determine whether the introduction of an advice and interview support system can shorten interview time even with limited professional resources while providing support that is convincing to the recipient. Furthermore, we will secondary-assess the feasibility of on-site implementation by evaluating advice comprehension, willingness to change behavior, and tool usability. Through these efforts, this study aims to demonstrate the nature of sustainable and efficient health guidance in a super-aging society and lay an important foundation for both scientific and social success.
This study is based on a comprehensive intervention model implemented in previous research, and will introduce a portable configuration using existing equipment and AI support tools to optimize its operation.The purpose is not to compare with a non-intervention group, but to primarily examine the usefulness of information organization and promotion of understanding in comprehensive intervention.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1

Exploratory

Trial characteristics_2


Developmental phase

Not applicable


Assessment

Primary outcomes

This is the level of satisfaction with interviews using the comprehensive health advice and health guidance support system. Interview satisfaction is measured using a questionnaire that uses a Likert scale, and evaluated by aggregating the distribution.

Key secondary outcomes

Secondary measures include understanding of advice, willingness to change behavior, and tool usability.


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

Food Behavior,custom Other

Interventions/Control_1

The intervention in this study consists of a series of steps: surveys and measurements, the presentation of automatically generated advice (assistance tools), and individual interviews with public health nurses. Specifically, subjects undergo non-invasive assessments such as grip strength, walking speed, body composition, simple tests of cognitive function, simple scales for depression and insomnia, and sleep monitoring. Based on these measurement data, a research algorithm automatically generates comprehensive health advice. This advice is presented to subjects using a tablet or PC, and then the public health nurse conducts an individual interview based on the advice. The interview is focused according to the subject's level of understanding and motivation, and the required time is limited to approximately 20 minutes. The entire procedure is considered a single intervention and will be carried out once for each subject. No medication or invasive procedures are involved.

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

60 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

1.Facility users residing in the facility
(Criteria for facility use include being able to walk independently and being 60 years of age or older)
2.Individuals who can provide written consent to participate in the study

Key exclusion criteria

1.Subjects with significant visual or hearing impairments that make it difficult to take measurements or operate tools
2.Subjects deemed ineligible by the principal investigator

Target sample size

50


Research contact person

Name of lead principal investigator

1st name Koichi
Middle name
Last name Yamamoto

Organization

The University of Osaka Graduate School of Medicine

Division name

Geriatric and General Medicine

Zip code

565-0871

Address

2-2, Yamada-oka, Suita, Osaka

TEL

06-6879-3852

Email

kyamamoto@geriat.med.osaka-u.ac.jp


Public contact

Name of contact person

1st name Taku
Middle name
Last name Fujimoto

Organization

The University of Osaka Graduate School of Medicine

Division name

Geriatric and General Medicine

Zip code

565-0871

Address

2-2, Yamada-oka, Suita, Osaka

TEL

06-6879-3852

Homepage URL


Email

takufuji@geirat.med.osaka-u.ac.jp


Sponsor or person

Institute

The University of Osaka

Institute

Department

Personal name



Funding Source

Organization

The Society 5.0 Implementation Research Hub Support Program

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

The University of Osaka Hospital Ethics Review Committee

Address

2-2, Yamadaoka, Suita, Osaka

Tel

06-6210-8296

Email

rinri@hp-crc.med.osaka-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



Other administrative information

Date of disclosure of the study information

2025 Year 11 Month 11 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


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

Preinitiation

Date of protocol fixation

2025 Year 11 Month 11 Day

Date of IRB


Anticipated trial start date

2025 Year 11 Month 20 Day

Last follow-up date

2025 Year 12 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

2025 Year 11 Month 11 Day

Last modified on

2025 Year 11 Month 11 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000068318