Development of a health education system through risk prediction and targeting using artificial intelligence based on national health insurance claim data and health information (Main research) + (Attached research: A test to improve the health guidance AI prototype) + (Attached research: Expanding target diseases)
Not Applicable
- Conditions
- Hypertension, Diabetes, Diabetic nephropathy, Chronic kidney disease, Myocardial infarction, Angina pectoris, Stroke, Transient ischemic attack, COPD, Heart failure
- Registration Number
- JPRN-UMIN000029216
- Lead Sponsor
- Hiroshima University, The research project management committee for development of AI health education system
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 131
Inclusion Criteria
Not provided
Exclusion Criteria
1) A patient was judged by the nurses (who provide the program) as unable to implement the program 2) An inpatient 3) A patient at Renal Replacement Therapy (renal transplantation, treated with dialysis) 4) A patient who has a plan for renal transplantation within 6 months 5) A patient at end stage (be given a year to live) 6) Type 1 diabetes 7) In pregnacy 8) Dementia (HDS-R <= 20/30) 9) Those who have behavioral problems and be considered as difficult to continue the program by his/her primary physician, physician in charge of diabetic care or researcher
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Feasibility evaluation of the system (Attached research: (1) After the nurse provided the health guidance according to the health guidance provided by the AI, did the patient change behavior as planned? (2) The degree of agreement between the risks, health guidance content, and action goals presented by AI and the nurses' thoughts) (Attached research: Change levels of behaviors)
- Secondary Outcome Measures
Name Time Method 1. Physiological indicators: blood test (HbA1c, BS, CRE, BUN, UA, LDL- C, HDL-C, TC, TG, GOT, GPT, r-GTP, PT-INR, TP, ALB, HGB, K, P), urine test(urine protein, urine albumin), blood pressure, weight, pulse rate, fasting blood glucose(if patient has diabates and measure it) 2. Treatment change: medication, introduction of renal replacement therapy 3. Behavioral indicators: lifestyle, content of meals, presence or absence of smoking/drinking, behavioral goals and achievement (meal, exercise, medication/injection, self-monitoring) 4. Disease, development of disease/complication 5. Regulary visit to a clinic, presence or absence of hospitalization, reason for hospitalization 6. Results of questionnares (self-efficacy, QOL) 7. Records of personal health education, diet records, reports for physicians 8. Records of face-to-face instruction, voice record of telephone instruction