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Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses

Pilot Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03809858
Enrollment
12
Registered
2019-01-18
Start date
2019-05-29
Completion date
2019-11-18
Last updated
2020-04-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus, Type 1

Keywords

Klue, Meal bolus, Bolus reminder

Brief summary

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.

Interventions

OTHERKlue App

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.

Sponsors

Stanford University
CollaboratorOTHER
Klue, Inc.
CollaboratorUNKNOWN
University of Virginia
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Intervention model description

Subjects will be randomized to the sequence of completion in a 1:1 ratio. All subject will collect data throughout the study with half of them using the Klue App during the first 6 weeks and half using the Klue App during the second 6 weeks.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Number of missed meal bolusesDuring the two weeks prior to each visitThe change in the number of missed meal boluses

Secondary

MeasureTime frameDescription
Number of missed meal boluses as a measure of attenuation to the alerts6 weeksThe change in the number of missed meal boluses as a measure of attenuation to the alerts
Change in Hemoglobin A1c Levels3 monthsChange in Hemoglobin A1c Levels
Time in range 70-180 mg/dL6 weeksTime in range 70-180 mg/dL as measured by CGM
Percent time <70 mg/dL mean glucose6 weeksPercent time \<70 mg/dL mean glucose as measured by CGM
Glucose Coefficient of Variation6 weeksGlucose (as measured by CGM) Coefficient of Variation
Total daily insulin dose6 weeksTotal daily insulin dose
Total daily basal insulin6 weeksTotal daily basal insulin
Number of total bolus injections each day6 weeksNumber of total bolus injections each day
Accuracy of Klue in detecting meals3 monthsAccuracy of Klue in detecting meals (true positive and false positive rates)
User satisfaction of Klue3 monthsUser satisfaction of Klue
Diabetes-Specific Attitudes about Technology (DSAT) Scores3 monthsDSAT Scores (Scaled from Strongly Disagree to Strongly Agree in relation to attitudes related to technology in diabetes treatment)
Diabetes Distress Scale (DDS) Scores3 monthsDDS Scores (Scaled from Not a Problem to A Very Serious Problem in relation to feelings/mood related to diabetes)
Number of meal bolus injections each day6 weeksNumber of meal bolus injections each day

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026