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Automated Structured Education Based on an App and AI in Chinese Patients With Type 1 Diabetes

NCT04016987 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 138

Last updated 2020-09-16

No results posted yet for this study

Summary

In recent years, more and more attention has been paid to diabetes self-management. Glycemic control and self-management skills of patients with type 1 diabetes (T1DM) in China are poor. Artificial intelligence (AI) and the Internet offer a new way to improve the self-management skills of patients with chronic diseases. Few studies have combined AI technology with structured education intervention of type 1 diabetes. This study is innovative in that it compares the effectiveness of smartphone app between usual care, as well as automatic and individualized app education and standardized app education to explore whether the individualized treatment advocated by the latest guideline will bring any additional benefit to T1DM patients. The ultimate goal is to provide an effective and convenient approach for glycemic control of type 1 diabetes and reduce related disease burden in China.

Conditions

Interventions

BEHAVIORAL

Automated structured education intervention based on an app and artificial intelligence

In the 24-week intervention period, the experimental group receives automated push notifications supported by artificial intelligent algorithm.

Sponsors & Collaborators

  • Second Xiangya Hospital of Central South University

    lead OTHER

Principal Investigators

  • Xia Li, MD/PHD · Central South University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
50 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-09-08
Primary Completion
2021-12-31
Completion
2023-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04016987 on ClinicalTrials.gov