UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000062660
Receipt number R000071729
Scientific Title Development and Evaluation of the Real-World Implementation Feasibility of a Stratified Self-Care Support Model Integrating Artificial Intelligence and Nursing Expertise Based on Risk Perception Mismatch for Fall Prevention in Older Adults
Date of disclosure of the study information 2026/08/23
Last modified on 2026/08/23 11:10:08

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Basic information

Public title

A Study of AI- and Nurse-Supported Self-Care for Fall Prevention in Older Adults

Acronym

Fall Prevention Study for Older Adults Using AI and Nursing Expertise

Scientific Title

Development and Evaluation of the Real-World Implementation Feasibility of a Stratified Self-Care Support Model Integrating Artificial Intelligence and Nursing Expertise Based on Risk Perception Mismatch for Fall Prevention in Older Adults

Scientific Title:Acronym

RPM-AI Nursing Fall Prevention Study

Region

Japan


Condition

Condition

Risk of falls and fractures in older adults

Classification by specialty

Nursing Adult

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

The aim of this study is to develop a stratified self-care support model for community-dwelling older adults that integrates AI-based daily self-care support with support from nursing experts, focusing on risk perception mismatch, RPM, between objective fall and fracture risk and individuals' subjective risk perceptions. Through a three-month intervention, the study will evaluate changes in fear of falling, self-efficacy, physical activity, self-perception, and health behaviors, as well as the acceptability, feasibility, sustainability, and efficiency of the model, to assess its potential for real-world implementation.

Basic objectives2

Safety,Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Changes in the following outcomes from baseline (V1) to 3 months after the start of the intervention (V3) will be evaluated as the primary outcomes:
Fear of falling, assessed using the Falls Efficacy Scale-International (FES-I)
Self-efficacy, assessed using a brief self-efficacy scale developed for this study
Physical activity, assessed using the International Physical Activity Questionnaire Short Form (IPAQ-SF)
Indicators of self-perception and verbalization of reasons for health-related behaviors derived from AI dialogue logs

Key secondary outcomes



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

Prevention

Type of intervention

Behavior,custom Other

Interventions/Control_1

All participants will receive self-care support using a research AI system for three months. The AI system will support assessment of lifestyle, physical activity, sleep, and health conditions; explanation of assessment results; daily reflection; verbalization of reasons for successful or unsuccessful health behaviors; review of behavioral goals; and provision of general information on fall prevention and lifestyle improvement. Participants at high risk, defined as those with a history of falls or fragility fractures, will additionally receive consultations with nursing experts to establish feasible behavioral goals based on their lifestyle, values, and risk perceptions. An interim assessment will be conducted one month after the start of the intervention, with an additional nursing consultation provided to high-risk participants as needed. The final assessment will be conducted three months after the start of the intervention.

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

65 years-old <=

Age-upper limit

84 years-old >=

Gender

Male and Female

Key inclusion criteria

Individuals aged 65 to 84 years
Community-dwelling individuals
Individuals with a history of falls or fear of falling, or an interest in fall and fracture prevention
Individuals who are able to use a smartphone
Individuals who are able to use the research AI application or research AI system
Individuals who are able to provide informed consent to participate in the study

Key exclusion criteria

Individuals who have been advised by a physician to restrict physical activity
Individuals with an implanted pacemaker
Individuals certified as requiring support or long-term care under the Japanese long-term care insurance system
Individuals who are unable to provide informed consent or participate in the study due to severe cognitive impairment or other reasons
Individuals considered unsuitable for participation by the principal investigator

Target sample size

160


Research contact person

Name of lead principal investigator

1st name Miyae
Middle name
Last name Yamakawa

Organization

The University of Osaka

Division name

Division of Health Sciences, Graduate School of Medicine

Zip code

5650871

Address

1-7 Yamadaoka, Suita City, Osaka

TEL

0668792543

Email

miyatabu@sahs.med.osaka-u.ac.jp


Public contact

Name of contact person

1st name Miyae
Middle name
Last name Yamakawa

Organization

The University of Osaka

Division name

Division of Health Sciences, Graduate School of Medicine

Zip code

5650871

Address

1-7 Yamadaoka, Suita city, Osaka

TEL

0668792543

Homepage URL


Email

miyatabu@sahs.med.osaka-u.ac.jp


Sponsor or person

Institute

The University of Osaka

Institute

Department

Personal name



Funding Source

Organization

Ministry of Education, Culture, Sports, Science and Technology (MEXT)

Organization

Division

Category of Funding Organization

Japanese Governmental office

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Ethical Review Board of Osaka University Hospital

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

2026 Year 08 Month 23 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

2026 Year 08 Month 19 Day

Date of IRB


Anticipated trial start date

2026 Year 09 Month 28 Day

Last follow-up date

2027 Year 01 Month 27 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information



Management information

Registered date

2026 Year 08 Month 23 Day

Last modified on

2026 Year 08 Month 23 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071729