Edmonton Automated Sugar Intelligence - Intelligent Diabetes Management, EASI-IDM, App Program to Assist Diabetes Care

NCT02214719 | Completed

• 1 other identifier: EASI02IDM01
• Study Type: interventional
• Target: 31
• Locations: 1 country
• Sites: 1

Brief Summary

A closed loop system for diabetes care utilizing an insulin pump, continuous glucose sensing and appropriate mathematical modelling to guide insulin dosing is a goal for those with Type 1 diabetes. Yet the cost of the associated hardware will be prohibitive for many people with diabetes or their health care payers. Carbohydrate counting, insulin dose correction systems, basal bolus regimens with or without an insulin pump all facilitate glucose control but frequent adjustment to a diabetes regimen is a necessary cornerstone to successful diabetes management; if all that is used is the regimen suggested by the health care provider at a visit and this regimen is left unchanged until the next visit or contact then success will be limited. A readily available user friendly program suitable for a smart phone or tablet would have widespread applicability and benefit. The investigators hypothesize that such an app linked into a web site that facilitated review of glucose records will be acceptable to people with diabetes and improve glucose control. Our long term goal is to create an app that can advise on diabetes management.

Conditions

Diabetes, Type 1

Keywords

type 1 diabetes, insulin therapy, bolus calculator

Outcome Measures

Primary Outcomes (1)

• Glucose control - A1c

  Assess if A1c improves over course of study

  6 months

Secondary Outcomes (4)

• Use of the app

  6 months

• Patient initiated changes to insulin regimen

  6 months

• Acceptance of app

  6 months

• Long term use

  6 months

Study Arms (1)

Baseline observation for EASI-IDM use

EXPERIMENTAL

Baseline observation period to gather information on current practice about diabetes care

Behavioral: EASI-IDM use

Interventions

EASI-IDM use BEHAVIORAL

EASI-IDM use is the intervention involving the use of the Edmonton Automated Sugar Intelligence system linked to the Intelligent Diabetes Website by people with type 1 diabetes to facilitate glucose record keeping, clinical monitoring and we will assess if this app helps lead to improved glucose control and more patient involvement with their diabetes management.

Baseline observation for EASI-IDM use

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Type 1 diabetes Smart phone user Resident of Canada

Sponsors & Collaborators

• University of Alberta: lead

Study Sites (1)

University of Alberta

Edmonton, Alberta, T6G 1S2, Canada

Location

Related Publications (1)

• Ryan EA, Holland J, Stroulia E, Bazelli B, Babwik SA, Li H, Senior P, Greiner R. Improved A1C Levels in Type 1 Diabetes with Smartphone App Use. Can J Diabetes. 2017 Feb;41(1):33-40. doi: 10.1016/j.jcjd.2016.06.001. Epub 2016 Aug 25.

  PMID: 27570203 RESULT

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

Diabetes Mellitus; Glucose Metabolism Disorders; Metabolic Diseases; Nutritional and Metabolic Diseases; Endocrine System Diseases; Autoimmune Diseases; Immune System Diseases

Study Officials

• Edmond Ryan, MD

  University of Alberta

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 1, 2014
• First Posted: August 12, 2014
• Study Start: August 1, 2014
• Primary Completion: December 31, 2016
• Study Completion: December 31, 2016
• Last Updated: February 14, 2023

Record last verified: 2019-04

Data Sharing

• IPD Sharing: Will not share

Locations

CA (1)