Ignite Creation Date:
2024-10-25 @ 7:51 PM
Last Modification Date:
2024-10-26 @ 3:43 PM
Study NCT ID:
NCT06650098
Status:
NOT_YET_RECRUITING
Last Update Posted:
None
First Post:
2024-10-18
Brief Title:
Artificial Intelligence-Supported Mobile Application For Diabetes Self-Management
Sponsor:
None
Organization:
None
Study Overview
Official Title:
The Effect of Web-Based and Artificial Intelligence-Assisted Personalized Applications on Knowledge Levels Compliance With Treatment and Self-Management Among Diabetic Individuals
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Patients in the AI-supported mobile application group will be able to log in with a username and password that will be defined specifically for them Patients will be informed about how the application is used during their first interview They will enter their personal and disease characteristics age gender height weight HbA1C HDL LDL into the application at the entrance Other sections of the application will include exercise nutrition medication tracking complication tracking and diabetic foot care sections The person will be asked to enter relevant information in these fields according to their own life and condition for example how many times do you use insulin per day what are your medication times how do you spend your day in terms of exercise how many meals do you eat what is your diet do you urinate frequently are you extremely thirsty are you hungry often do you have numbness in your hands and feet etc After the patient enters the necessary information they will also be asked to enter their daily blood sugar measurement values into the system Thus the individualamp39s hypohyperglycemia risk risk analysis nutrition recommendations medication reminder system exercise reminder and incentive warnings will be communicated to the individual thanks to the AI-based mobile application The aim of this application is to reduce the risk of complications and improve the individualamp39s quality of life by providing personalized recommendations for all the needs of the individual including alarms and reminders and to support patients to continue their diabetes education and disease management more actively
Detailed Description:
pre-test post-test control group design
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None