Type 2 diabetes
Conditions
Interventions
Control group:Conventional diabetes health education is adopted. Diabetes health education manuals and diabetes health education videos are distributed to patients. Patients can scan the codes to watc
Experimental group:Based on the routine diabetes health education, the patient received diabetes education through an artificial intelligence education robot. The specific intervention content is as f
it also supports human-machine interaction. Patients can wake up the robot by voice to obtain the required knowledge. The robot can calculate the standard weight, to
Sponsors
Beijing Luhe Hospital Affiliated to Capital Medical University
Eligibility
Sex/Gender
All
Age
60 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Meets the latest diagnostic criteria for diabetes; 2. Mentally clear, able to communicate normally and cooperate; 3. Age >= 60 years old, gender not limited; 4. Voluntarily participates and signs the informed consent form.
Exclusion criteria
Exclusion criteria: 1. Acute complications of diabetes require urgent treatment; 2. Unable to take care of oneself; 3. Visual/hearing impairment makes it impossible to cooperate with robot education; 4. Participate in other clinical studies.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Glycated hemoglobin;Diabetes Self-Management Scale (SDSCA) score; | — |
Secondary
| Measure | Time frame |
|---|---|
| Diabetes Self-Efficacy Scale (SED) score;Diabetes Knowledge Measurement Scale (ADKnowl) score;Patient satisfaction questionnaire; | — |
Countries
China
Contacts
Public ContactWang Xiaojing
Beijing Luhe Hospital Affiliated to Capital Medical University
Outcome results
None listed