AI Health Assistant and Type 2 Diabetes
Health Behavior, Type2 Diabetes Mellitus
About this trial
This is an interventional treatment trial for Health Behavior focused on measuring Type 2 Diabetes, AI health assistant, Off hospital management
Eligibility Criteria
Inclusion Criteria:
The diagnostic criteria of T2DM patients are the diagnostic criteria of the 2017 China guidelines for the prevention and treatment of type 2 diabetes HbA1c 7.5-13% Age: 18-65y BMI 18.5-30kg/m2 The course of disease is less than 5 years Have good cognitive ability and can correctly use health assistants
Exclusion Criteria:
Acute complications of diabetes (diabetes ketosis, etc.) Diabetes complicating pregnancy or preparing for pregnancy HbA1c < 7.5% or > 13% Age < 18y or age > 65y Pre pregnancy BMI < 18.5 or > 30kg / m2 Severe liver and kidney dysfunction (ALT greater than 2.5 times the upper limit of normal, EGFR less than 45 ml / min / 1.73m2) Using drugs that may affect blood glucose are being used (including steroids, hydroxyprogesterone hexanoate, anti AIDS drugs, etc.)
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Experimental
No Intervention
AI health assistant
Routine treatment group
An AI health assistant suitable for diabetes patients has been developed. It has the functions of automatically uploading blood pressure, blood glucose data, intelligent reminder, automatic analysis of reports inside and outside the hospital, intelligent question and answer, etc. it is simple to operate, highly interactive, and maximizes the management level of diabetes patients outside the hospital.
Perform routine management and follow-up without using AI health assistant