- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03809858
Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses
April 18, 2020 updated by: Marc Breton, University of Virginia
Pilot Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses
This will be a randomized, cross-over, unblinded study with subjects randomized upon entry into the study to either begin using the Klue software for 6 weeks or to continue with their usual care for 6 weeks.
Subjects are eligible for enrollment if they are using a continuous glucose monitor (CGM) with an insulin pump or an insulin pen with memory, and are missing or late in giving at least 4 food boluses in the previous two weeks.
Missing or late meal boluses will be assessed through their pump/pen and sensor downloads.
This is a pilot study.
There is no preliminary data to do a true power calculation.
The primary outcome will be the change in the number of missed meal boluses in the two weeks prior to each visit.
Secondary outcome measures will be the number of missed meal boluses in each month of the study, change in HbA1c levels (measured every 6 weeks), accuracy of the Klue software in detecting meals (true positive and false positive rates), and a user satisfaction survey.
Study Overview
Study Type
Interventional
Enrollment (Actual)
12
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Virginia
-
Charlottesville, Virginia, United States, 22908
- University of Virginia
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Age 18 and over
- Using an insulin pump for at least 3 months and currently using CGM or using an insulin pen with memory and currently using a CGM
- Willing to wear a CGM at least 70% of the time while in the study
- Willing to wear an Apple watch on their dominant hand while awake
- Missing or late in giving at least four food boluses in the previous 2 weeks
- Understanding and willingness to follow the protocol and sign informed consent
Exclusion Criteria:
- Pregnant or lactating women
- A known medical condition that in the judgement of the investigator might interfere with the completion of the protocol Note: Adequately treated thyroid disease and celiac disease do not exclude subjects from enrollment.
- Current treatment for a seizure disorder
- Inpatient psychiatric treatment in the past 6 months
Subject may participate in another trial if it is approved by the investigators of both trials.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Klue App Use then Usual Care
Subjects will use the Klue App during the first 6 weeks of the trial.
At 6 weeks, subjects will discontinue Klue App use and will continue the final 6 weeks without the product.
|
The Klue App utilizes an Apple Watch to detect eating or drinking behavior.
The App can initiate a sequence of questions when eating/drinking is detected to determine if a subject has administered a bolus for the meal or if they need to do so.
|
|
Experimental: Usual Care then Klue App Use
Subjects will begin the study without using the Klue App during the first 6 weeks of the trial.
At 6 weeks, subjects will begin the use of the Klue App and will continue the final 6 weeks with the product.
|
The Klue App utilizes an Apple Watch to detect eating or drinking behavior.
The App can initiate a sequence of questions when eating/drinking is detected to determine if a subject has administered a bolus for the meal or if they need to do so.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of missed meal boluses
Time Frame: During the two weeks prior to each visit
|
The change in the number of missed meal boluses
|
During the two weeks prior to each visit
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of missed meal boluses as a measure of attenuation to the alerts
Time Frame: 6 weeks
|
The change in the number of missed meal boluses as a measure of attenuation to the alerts
|
6 weeks
|
|
Number of missed meal boluses as a measure of attenuation to the alerts
Time Frame: 12 weeks
|
The change in the number of missed meal boluses as a measure of attenuation to the alerts
|
12 weeks
|
|
Change in Hemoglobin A1c Levels
Time Frame: 3 months
|
Change in Hemoglobin A1c Levels
|
3 months
|
|
Time in range 70-180 mg/dL
Time Frame: 6 weeks
|
Time in range 70-180 mg/dL as measured by CGM
|
6 weeks
|
|
Time in range 70-180 mg/dL
Time Frame: 12 weeks
|
Time in range 70-180 mg/dL as measured by CGM
|
12 weeks
|
|
Percent time <70 mg/dL mean glucose
Time Frame: 6 weeks
|
Percent time <70 mg/dL mean glucose as measured by CGM
|
6 weeks
|
|
Percent time <70 mg/dL mean glucose
Time Frame: 12 weeks
|
Percent time <70 mg/dL mean glucose as measured by CGM
|
12 weeks
|
|
Glucose Coefficient of Variation
Time Frame: 6 weeks
|
Glucose (as measured by CGM) Coefficient of Variation
|
6 weeks
|
|
Glucose Coefficient of Variation
Time Frame: 12 weeks
|
Glucose (as measured by CGM) Coefficient of Variation
|
12 weeks
|
|
Total daily insulin dose
Time Frame: 6 weeks
|
Total daily insulin dose
|
6 weeks
|
|
Total daily insulin dose
Time Frame: 12 weeks
|
Total daily insulin dose
|
12 weeks
|
|
Number of meal bolus injections each day
Time Frame: 6 weeks
|
Number of meal bolus injections each day
|
6 weeks
|
|
Number of meal bolus injections each day
Time Frame: 12 weeks
|
Number of meal bolus injections each day
|
12 weeks
|
|
Number of total bolus injections each day
Time Frame: 6 weeks
|
Number of total bolus injections each day
|
6 weeks
|
|
Number of total bolus injections each day
Time Frame: 12 weeks
|
Number of total bolus injections each day
|
12 weeks
|
|
Total daily basal insulin
Time Frame: 6 weeks
|
Total daily basal insulin
|
6 weeks
|
|
Total daily basal insulin
Time Frame: 12 weeks
|
Total daily basal insulin
|
12 weeks
|
|
Accuracy of Klue in detecting meals
Time Frame: 3 months
|
Accuracy of Klue in detecting meals (true positive and false positive rates)
|
3 months
|
|
User satisfaction of Klue
Time Frame: 3 months
|
User satisfaction of Klue
|
3 months
|
|
Diabetes-Specific Attitudes about Technology (DSAT) Scores
Time Frame: 3 months
|
DSAT Scores (Scaled from "Strongly Disagree" to "Strongly Agree" in relation to attitudes related to technology in diabetes treatment)
|
3 months
|
|
Diabetes Distress Scale (DDS) Scores
Time Frame: 3 months
|
DDS Scores (Scaled from "Not a Problem" to "A Very Serious Problem" in relation to feelings/mood related to diabetes)
|
3 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Marc Breton, PhD, University of Virginia
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Burdick J, Chase HP, Slover RH, Knievel K, Scrimgeour L, Maniatis AK, Klingensmith GJ. Missed insulin meal boluses and elevated hemoglobin A1c levels in children receiving insulin pump therapy. Pediatrics. 2004 Mar;113(3 Pt 1):e221-4. doi: 10.1542/peds.113.3.e221.
- Olinder AL, Kernell A, Smide B. Missed bolus doses: devastating for metabolic control in CSII-treated adolescents with type 1 diabetes. Pediatr Diabetes. 2009 Apr;10(2):142-8. doi: 10.1111/j.1399-5448.2008.00462.x. Epub 2008 Oct 24.
- O'Connell MA, Donath S, Cameron FJ. Poor adherence to integral daily tasks limits the efficacy of CSII in youth. Pediatr Diabetes. 2011 Sep;12(6):556-9. doi: 10.1111/j.1399-5448.2010.00740.x. Epub 2011 Apr 6.
- Naranjo D, Tanenbaum ML, Iturralde E, Hood KK. Diabetes Technology: Uptake, Outcomes, Barriers, and the Intersection With Distress. J Diabetes Sci Technol. 2016 Jun 28;10(4):852-8. doi: 10.1177/1932296816650900. Print 2016 Jul.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
May 29, 2019
Primary Completion (Actual)
November 18, 2019
Study Completion (Actual)
November 18, 2019
Study Registration Dates
First Submitted
January 11, 2019
First Submitted That Met QC Criteria
January 15, 2019
First Posted (Actual)
January 18, 2019
Study Record Updates
Last Update Posted (Actual)
April 21, 2020
Last Update Submitted That Met QC Criteria
April 18, 2020
Last Verified
April 1, 2020
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 180034
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
There is no current plan to share individual participant data
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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