Trial Outcomes & Findings for Assessment of a Decision Support Tool in Participants With Type 1 Diabetes (NCT NCT04428645)

NCT ID: NCT04428645

Last Updated: 2022-07-19

Results Overview

Mean change in the percent of time with sensed glucose between 70 - 180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

25 participants

Primary outcome timeframe

Weeks 1-2 and 9-10

Results posted on

2022-07-19

Participant Flow

Participant milestones

Participant milestones
Measure
DailyDose Decision Support
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Run in Visit Training (2 Hours)
STARTED
25
Run in Visit Training (2 Hours)
COMPLETED
25
Run in Visit Training (2 Hours)
NOT COMPLETED
0
First at Home Period (~2 Weeks)
STARTED
25
First at Home Period (~2 Weeks)
COMPLETED
25
First at Home Period (~2 Weeks)
NOT COMPLETED
0
DailyDose Training Visit (2 Hours)
STARTED
25
DailyDose Training Visit (2 Hours)
COMPLETED
25
DailyDose Training Visit (2 Hours)
NOT COMPLETED
0
Second at Home Period (8 Weeks)
STARTED
25
Second at Home Period (8 Weeks)
COMPLETED
24
Second at Home Period (8 Weeks)
NOT COMPLETED
1
Study Close-out Visit (30 Minutes)
STARTED
24
Study Close-out Visit (30 Minutes)
COMPLETED
24
Study Close-out Visit (30 Minutes)
NOT COMPLETED
0

Reasons for withdrawal

Reasons for withdrawal
Measure
DailyDose Decision Support
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Second at Home Period (8 Weeks)
Withdrawal by Subject
1

Baseline Characteristics

Assessment of a Decision Support Tool in Participants With Type 1 Diabetes

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
DailyDose Decision Support
n=25 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Age, Categorical
<=18 years
0 Participants
n=5 Participants
Age, Categorical
Between 18 and 65 years
25 Participants
n=5 Participants
Age, Categorical
>=65 years
0 Participants
n=5 Participants
Age, Continuous
35.8 years
STANDARD_DEVIATION 9.8 • n=5 Participants
Sex: Female, Male
Female
14 Participants
n=5 Participants
Sex: Female, Male
Male
11 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
24 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=5 Participants
Race (NIH/OMB)
Asian
1 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
2 Participants
n=5 Participants
Race (NIH/OMB)
White
22 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
0 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
n=5 Participants
Region of Enrollment
United States
25 participants
n=5 Participants

PRIMARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in the percent of time with sensed glucose between 70 - 180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in the Percent of Time With Sensed Glucose Between 70 - 180 mg/dl
-3.8 percentage of time
Standard Deviation 15.8

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in sensed glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in Sensed Glucose
11 mg/dL
Standard Deviation 28

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in the percent of time with sensed glucose \< 70 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in the Percent of Time With Sensed Glucose <70 mg/dl
-0.3 percentage of time
Standard Deviation 1.0

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in the percent of time with sensed glucose \< 54 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in the Percent of Time With Sensed Glucose <54 mg/dl
0.0006 percentage of time
Standard Deviation 0.472

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in the percent of time with sensed glucose \>180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in the Percent of Time With Sensed Glucose >180 mg/dl
4.1 percentage of time
Standard Deviation 15.9

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Mean change in the percent of time with sensed glucose \>250 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Mean Change in the Percent of Time With Sensed Glucose >250 mg/dl
5.4 percentage of time
Standard Deviation 12.5

SECONDARY outcome

Timeframe: Weeks 1-2 and 9-10

Change in coefficient of variation of sensor glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.

Outcome measures

Outcome measures
Measure
DailyDose Decision Support
n=24 Participants
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Change in Coefficient of Variation of Sensor Glucose Based on the Dexcom G6 CGM Data.
-0.3 percent of CV

Adverse Events

DailyDose Decision Support

Serious events: 0 serious events
Other events: 2 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Other adverse events
Measure
DailyDose Decision Support
n=25 participants at risk
Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.
Infections and infestations
upper respiratory infection
8.0%
2/25 • Number of events 2 • 10 weeks
All participants that started a visit are included in the adverse events. All subjects completed all visits except one. That subject only completed two of the three visits.
Infections and infestations
urinary tract infection
4.0%
1/25 • Number of events 1 • 10 weeks
All participants that started a visit are included in the adverse events. All subjects completed all visits except one. That subject only completed two of the three visits.
Infections and infestations
vaginal infection
4.0%
1/25 • Number of events 1 • 10 weeks
All participants that started a visit are included in the adverse events. All subjects completed all visits except one. That subject only completed two of the three visits.
Infections and infestations
strep throat
4.0%
1/25 • Number of events 1 • 10 weeks
All participants that started a visit are included in the adverse events. All subjects completed all visits except one. That subject only completed two of the three visits.

Additional Information

Jessica Castle

Oregon Health and Science University

Phone: 503-494-7072

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place