PreDiabetes Clinical Trial
— PREDICTSOfficial title:
Preventing Diabetes With Digital Health and Coaching for Translation and Scalability (PREDICTS)
Verified date | February 2021 |
Source | Omada Health, Inc. |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The goal of this randomized controlled trial is to determine the efficacy of a digital diabetes prevention program for improving weight, glucose control, and secondary risk factors among people with prediabetes compared to an enhanced standard care plus wait-list control. Exploratory assessments of implementation facilitators and barriers will also be completed to determine strategies for integrating external diabetes-prevention interventions within healthcare settings.
Status | Completed |
Enrollment | 598 |
Est. completion date | August 31, 2020 |
Est. primary completion date | April 30, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 19 Years and older |
Eligibility | Inclusion Criteria: - Receives care at University of Nebraska Medical Center or Nebraska Medicine - Age 19 years or older - HbA1c 5.7%-6.4% - Overweight (BMI 25+ or 22+ if Asian) - Planning to reside in recruitment area for next 12 months - Able to engage in moderate aerobic physical activity - Medically stable - Able to provide informed consent - Willing to accept random assignment to treatment Exclusion Criteria: - Not meeting all inclusion criteria - Diagnosed with Type I or II diabetes - Diagnosed with congestive heart failure, coronary artery disease, chronic obstructive pulmonary disease, pulmonary hypertension - Diagnosed with dementia or probable Alzheimer's disease - Taking oral hypoglycemic agents - Participating in a concurrent weight management program or interventional research protocol - Unable to engage in physical activity - On a prescribed medical diet - Had bariatric surgery within the past 3 years or planning surgery within the next 12 months - Anti-obesity or diabetes therapy within the preceding 4 months - Any mental health condition, including eating disorders or alcohol/substance use, which would preclude full participation - Self-report as currently pregnant or within 6 weeks of having given birth (or planning to become pregnant in the next 12 months) - Unstable cardiac disease (i.e. heart attack/failure or stroke in the last 6 months, or in cardiac rehabilitation) - On dialysis or an active organ transplant list - Chronic kidney disease - Untreated thyroid disease - Cancer within the last 5 years unless skin cancer (i.e. currently or within the last 5 years in chemotherapy or radiation treatment) - Unwilling to accept random assignment |
Country | Name | City | State |
---|---|---|---|
United States | University of Nebraska Medical Center | Omaha | Nebraska |
Lead Sponsor | Collaborator |
---|---|
Omada Health, Inc. | University of Nebraska, Wake Forest University Health Sciences |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Implementation Context | This qualitative assessment will identify the overall implementation climate for a digital DPP. Key informant interviews will be used to elicit stakeholder perceptions, which will be coded for meaning and grouped into categories. The categories will then be integrated to determine possible implementation strategies for this type of program. As such, there is a single assessment that will result in multiple categories. We identified the a priori hypothetical categories, but may find additional categories and may not find perceptions that align with the current categories. This is a single section since these qualitative outcomes may be variable.
Physician, other health professional, and administrator perceptions of: The value and practicality of integrating a new DPP within their facility Barriers to DPP sustainability Contextual readiness for a diabetes prevention initiative Factors that would facilitate implementation Indicators of successful implementation |
12 months | |
Primary | HbA1c reduction | Change in percent HbA1c | Baseline and 12 months | |
Secondary | Weight loss | Reduction in percent of initial body weight | Baseline, 4 months, and 12 months | |
Secondary | Decreased cardiovascular risk | Atherosclerotic Cardiovascular Disease (ASCVD) risk estimator algorithm will be used to assess cardiovascular risk. The tool uses a number of demographic and health characteristics to estimate risk. | Baseline, 4 months, and 12 months |
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