AI-supported Compassionate Healthcare Application for Self-care and Support

Clarification of optimal condition to improve health behavior adherence using personalized disease prevention support App - COMPASS

Status

Recruiting

Phases

Phase 3

Study type

Interventional

Source

JPRN

Registry ID

JPRN-jRCTs052230135

Enrollment

2400

Registered

2023-11-28

Start date

2023-12-21

Completion date

Unknown

Last updated

2025-07-18

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

Conditions

HT, T2DM, Hyperlipemia, CKD, Metabolic syndrome, Liver dysfunction, Anemia, Hyperuricemia, IHD lifestyle related disease

Interventions

Participants receive disease risk prediction and health improvement plan simulated by AI from the results of health checkups using a smartphone application. Those who are subject to specific health gu

D003695

Healthcare application, artificial intelligence

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: >Individuals who own personal smartphone and can use it himself / herself. >Individuals who provide consent for inclusion in the study.

Exclusion criteria

Exclusion criteria: >Individuals who have all of the following diseases (Hypertension, Type 2 Diabetes, Hyperlipemia). >Individuals who have all of the following diseases (metabolic syndrome, chronic kidney disease, liver dysfunction, anemia, hyperuricemia, ischemic heart disease). >Individuals who undergo treatment for malignant tumors, renal replacement therapy, type 1 diabetes, intractable diseases. >Individuals who are certified for long-term care. >Pregnant women. >Undergoing inpatient treatment. >Individuals who were recognized to be unsuitable for the study by research representative or researchers from a safety perspective

Design outcomes

Primary

Measure	Time frame
BMI	—

Secondary

Measure	Time frame
>Physiological Indicators blood pressure, pulse, blood test (HbA1c, blood glucose (fasting or casual), Cre, BUN, UA, LDL cholesterol, HDL cholesterol, total cholesterol, triglycerides, GOT, GPT, gamma-GTP, TP, ALB, HGB), urine test (urine protein, urine sugar), occurrence of ischemic heart disease >Behavioral indicators degree of lifestyle improvement (stage of change) exercise habits, diet style, presence and degree of alcohol consumption and smoking, self-monitoring implementation rate, number of steps, percentage of physician or industrial physician visits, self-assessment of behavior changes, prescription and dosage, adverse event. >Intervention model feasibility: convenience of the application and frequency of use of the application, satisfaction (program participants, health advisors), interviews with health advisors, time required for preparation and explanation of specific health guidance	—

Measure

Time frame

>Physiological Indicators blood pressure, pulse, blood test (HbA1c, blood glucose (fasting or casual), Cre, BUN, UA, LDL cholesterol, HDL cholesterol, total cholesterol, triglycerides, GOT, GPT, gamma-GTP, TP, ALB, HGB), urine test (urine protein, urine sugar), occurrence of ischemic heart disease >Behavioral indicators degree of lifestyle improvement (stage of change) exercise habits, diet style, presence and degree of alcohol consumption and smoking, self-monitoring implementation rate, number of steps, percentage of physician or industrial physician visits, self-assessment of behavior changes, prescription and dosage, adverse event. >Intervention model feasibility: convenience of the application and frequency of use of the application, satisfaction (program participants, health advisors), interviews with health advisors, time required for preparation and explanation of specific health guidance

—

Contacts

Public ContactYohei Mineharu

Kyoto University Hospital

mineharu@kuhp.kyoto-u.ac.jp+81-75-751-3459

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Feb 4, 2026