- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05056376
Effectiveness and Cost-Effectiveness of Fully-Automated Digital vs. Human Coach-Based Diabetes Prevention Programs
Study Overview
Status
Conditions
Detailed Description
After being informed about the study and potential risk, all participants giving written informed consent will undergo screening to determine eligibility for study entry. At baseline visit (month 0). Participants who meet the eligibility requirements will be randomly assigned in 1:1 ratio to human coach-based diabetes prevention program or digital diabetes prevention program. An equal number of participants will be randomly assigned to both groups (like flipping a coin).
If participants are randomly assigned to receive the human coach-based diabetes prevention program, the participants will be referred to a local Diabetes Prevention Program close to the participants' area. The Diabetes Prevention Program consists of 16 weekly sessions during months 1 to 6 and 6 sessions during months 7 to 12. These group sessions may be delivered in-person at the local program or remotely using video conferencing. During these sessions, participants will receive information about lifestyle change behaviors focusing on weight loss, physical activity, and nutrition from a trained lifestyle coach.
If participants are randomly assigned to receive the digital Diabetes Prevention Program, the participants will receive the Sweetch Digital Health Kit (Sweetch Health, Ltd.) in the mail within approximately 8-12 days of the participants' first study visit. The Sweetch digital health kit consists of a smartphone app and a digital body weight scale that is connected via Bluetooth to the app. The phone app also consists of brief Centers for Disease Control and Prevention (CDC) lessons on type 2 diabetes prevention, which participants will be encouraged to complete.
There will be a total of 3 study visits (baseline, 6 months, and 12 months), each visit includes fingerstick hemoglobin A1C measurement, weight measurement, and completion of several questionnaires. Height will be measured at the first visit. Throughout the 12-month study, participants will be asked to wear a device on the participants' wrist to measure physical activity for 7 consecutive days following the first visit and once every month thereafter.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Maryland
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Baltimore, Maryland, United States, 21287
- Johns Hopkins Hospital
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Pennsylvania
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Reading, Pennsylvania, United States, 19611
- Reading Hospital - Tower Health
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Provision of signed and dated informed consent form.
- Stated willingness to comply with all study procedures and availability for the duration of the study.
Laboratory evidence of prediabetes, defined as any of the following lab results, in the past year:
- Hemoglobin A1C 5.7% to 6.4%
- Fasting glucose 100-125 mg/dL
- Plasma glucose of 140-199 mg/dL measured 2 hours after a 75 gm glucose load
- Body mass index (BMI) ≥25 kg/m2 (or≥23 kg/m2 for Asians).
- Proficiency in reading English.
- Smartphone user (Android Operating System (OS) 9.0 or iOS 13.3 or newer).
- Plans to reside in recruitment area for the next 12 months (participant's zip code of residence is within ~45 miles of the study recruitment site.
Exclusion Criteria:
- Medical conditions that prevent adoption of moderate physical activity (per primary care clinician).
- Aortic stenosis.
- Unstable cardiac disease (myocardial infarction, heart failure, or stroke in previous 6 months, currently participating in cardiac rehabilitation).
- Has a pacemaker, implantable cardioverter-defibrillator (ICD), or other implanted electronic device.
- Use of any glucose-lowering medications, weight loss medications, or any systemic glucocorticoids within the previous 3 months.
- Active malignancy of any type or diagnosed with or treated for cancer within the past 2 years. Individuals with basal and squamous cell carcinoma of the skin that has been successfully treated will be allowed to participate.
- Diagnosis of diabetes mellitus.
- Pregnancy or planned pregnancy in the next 12 months.
- Anemia.
- Receiving treatment for iron-deficiency anemia, vitamin B12 deficiency, or folate d efficiency.
- Hemoglobinopathy (HbS or HbC disease).
- Blood transfusion in previous 4 months.
- On dialysis or active organ transplant list.
- Treated with erythropoietin.
- Major psychiatric disorder (schizophrenia) or use of antipsychotic medications within the past 1 year.
- Dementia or Alzheimer's disease.
- Diagnosed with an eating disorder (anorexia nervosa, avoidant/restrictive food intake disorder, binge eating disorder, bulimia nervosa, Pica, rumination disorder, other specified or unspecified feeding or eating disorder)
- Diagnosed or self-reported alcohol or substance abuse.
- Known allergy to steel.
- Participation in another clinical trial related to lifestyle management or diabetes prevention.
- Currently attending or attended a diabetes prevention program in the previous 2 years.
- Unwilling to accept random assignments.
- Had bariatric surgery within the 12 months prior randomization or is planning to undergo bariatric surgery during the study.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Fully-Automated Digital Diabetes Prevention Program
Participants will receive Sweetch Digital Diabetes Prevention Program consists of a smartphone app and bluetooth-enabled digital body weight scale that syncs with the app.
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The Sweetch app is a hyper-personalized mobile digital coach that provides users with tailored recommendations to promote healthy lifestyle behaviors (150 minutes per week of physical activity, weight reduction, and healthy eating habits) to reduce the risk of type 2 diabetes. The Sweetch app uses self-tracking and multiple evidence-based persuasive eCoaching strategies. The Sweetch artificial intelligence algorithm delivers just-in-time support and/or adapt recommendations based on the user's response. For example, push notifications will be sent when the algorithm detects that the user is potentially available and able to act upon the recommendation, based on various parameters including location, previous response, calendar availability, and weather, etc. |
Active Comparator: Human Coach-Based Diabetes Prevention Program
Participants will attend a total of 16 weekly sessions during months 1 to 6 and 6 sessions during months 7 to 12.
These group sessions may be delivered in-person at the local program or remotely using video conferencing.
During these sessions, participants will receive information about lifestyle change behaviors focusing on weight loss, physical activity, and nutrition from a trained lifestyle coach.
|
The Human Coach-Based Diabetes Prevention Program will consist of a CDC recognized lifestyle change program.
Participants will attend a total of 16 weekly sessions during months 1 to 6 and 6 sessions during months 7 to 12.
These group sessions may be delivered in-person at the local program or remotely using video conferencing.
During these sessions, participants will receive information about lifestyle change behaviors focusing on weight loss, physical activity, and nutrition from a trained lifestyle coach.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Achievement of CDC's benchmark for type 2 diabetes risk reduction as a binary outcome (yes/no)
Time Frame: 12 months
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The achievement is defined as attainment of one or more of the following:
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12 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Cost-effectiveness as assessed by the Markov model
Time Frame: 12 months
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The investigators will compare the cost-effectiveness of the two interventions based on lifetime horizon by constructing a Markov model with model parameters populated from the trial results as well as other published literature.
The model will estimate the incremental cost-effectiveness ratio between the two interventions.
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12 months
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Change in hemoglobin A1C
Time Frame: Baseline, 6 months and 12 months
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Change in HbA1C (percentage) from baseline to 6 months and 12 months
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Baseline, 6 months and 12 months
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Percentage weight change
Time Frame: Baseline, 6 months and 12 months
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Percentage weight (percent) change from baseline to 6 and 12 months
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Baseline, 6 months and 12 months
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Absolute weight change
Time Frame: Baseline, 6 months and 12 months
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Absolute weight change (kilograms) from baseline to 6 and 12 months
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Baseline, 6 months and 12 months
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Change in physical activity - average minutes/week of physical activity
Time Frame: Baseline, 6 months and 12 months
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Change in physical activity measure (average minutes/week of physical activity) assessed using blinded Actigraphy (monthly serial consecutive 7-days wear period) from baseline to 6 months and 12 months.
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Baseline, 6 months and 12 months
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Change in physical activity - hours per week of physical activity
Time Frame: Baseline, 6 months and 12 months
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Change in physical activity measure (metabolic equivalent task (MET)-hours per week of physical activity) assessed using blinded Actigraphy (monthly serial consecutive 7-days wear period) from baseline to 6 months and 12 months.
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Baseline, 6 months and 12 months
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Change in physical activity - average number of steps per day
Time Frame: Baseline, 6 months and 12 months
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Change in physical activity measures (average number of steps per day) assessed using blinded Actigraphy (monthly serial consecutive 7-days wear period) from baseline to 6 months and 12 months.
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Baseline, 6 months and 12 months
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Engagement with programs as assessed by a score out of 100%
Time Frame: 6 months
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To compare engagement with digital vs. human coach-based DPPs and evaluate whether between-group differences in clinical outcomes are mediated by engagement, the investigators will define an engagement score (out of 100%) for the hDPP based on the percentage of total number of sessions attended, using the most current CDC engagement definitions at the time of completion of the study.
Percentage engagement will be defined out of a total of 8 sessions in month 1-6.
An engagement score (out of 100%) for the dDPPs will based on percentage of full weeks during which the app is installed and a) both push notifications and motion sensors are enabled or b) the participant accesses any component within the app for months 1-6.
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6 months
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Engagement with programs as assessed by a score out of 100%
Time Frame: 12 months
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To compare engagement with digital vs. human coach-based DPPs and evaluate whether between-group differences in clinical outcomes are mediated by engagement, the investigators will define an engagement score (out of 100%) for the hDPP based on the percentage of total number of sessions attended, using the most current CDC engagement definitions at the time of completion of the study.
Percentage engagement will be defined out of a total of 3 sessions in month 7-12.
An engagement score (out of 100%) for the dDPPs will based on percentage of full weeks during which the app is installed and a) both push notifications and motion sensors are enabled or b) the participant accesses any component within the app for months 7-12
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12 months
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Incidence of type 2 diabetes
Time Frame: 6 months
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Percentage of individuals who develop type 2 diabetes (A1C ≥6.5%).
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6 months
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Incidence of type 2 diabetes
Time Frame: 12 months
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Percentage of individuals who develop type 2 diabetes (A1C ≥6.5%).
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12 months
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Acceptability as assessed by the 32-item acceptability questionnaire
Time Frame: 6 months
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To compare the acceptability of the two interventions (satisfaction, utility, interest, motivation, user experience, etc.) using the 32-item acceptability questionnaire. Scoring: Sum up all responses to questions 1-31, divide by 155, and multiply by 100 to calculate percentage score out of 100%. The range of possible scores is 20% (lowest acceptability) to 100% (highest possible acceptability). |
6 months
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Acceptability as assessed by the 32-item acceptability questionnaire
Time Frame: 12 months
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To compare the acceptability of the two interventions (satisfaction, utility, interest, motivation, user experience, etc.) using the 32-item acceptability questionnaire. Scoring: Sum up all responses to questions 1-31, divide by 155 and multiply by 100 to calculate percentage score out of 100%. The range of possible scores is 20% (lowest acceptability) to 100% (highest possible acceptability). |
12 months
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Correlation between self-reported and measured physical activity
Time Frame: 6 months and 12 months
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To evaluate the correlation between self-reported PA data collected using different methods:
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6 months and 12 months
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Nestoras Mathioudakis, MD MHS, Johns Hopkins University
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB00265873
- 1R01DK125780-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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