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Prevention of Diabetes Using Mobile-enabled, Virtual Delivery of the National Diabetes Prevention Program

Prevention of Diabetes Using Mobile-enabled, Virtual Delivery of the National Diabetes Prevention (DPP) Program: a Randomized Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03865342
Enrollment
202
Registered
2019-03-06
Start date
2016-09-30
Completion date
2018-06-25
Last updated
2023-04-06

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

Conditions

PreDiabetes

Keywords

mHealth, Diabetes Prevention Program, weight loss, body weight, behavioral interventions

Brief summary

This study will test the weight loss efficacy of a mobile diabetes prevention program intervention. Half of the sample of prediabetic adults will receive the virtual DPP and half will receive usual medical care.

Detailed description

There were 84.1 million people with pre-diabetes, 30.3 million people with diagnosed and 7.2 million with undiagnosed diabetes in the United States in 2015, and nearly 2 million are diagnosed with it every year. By 2050, the CDC estimates that 1 in every 3 people globally will have diabetes, a leading cause of death and disability. The primary goal of this study is to evaluate the efficacy of the Noom Coach Diabetes Prevention Program mobile platform versus usual medical care. The best intervention to date for prediabetes is the Centers for Disease Control and Prevention's Diabetes Prevention Program, yet there is limited research investigating a mobile-based delivery of the DPP. Pre-diabetes is often discovered during routine medical visitation/annual screening (usual care), but face-to-face time with clinicians is often limited. Exploring novel ways, such as mHealth interventions to empower patients to pursue lifestyle change and prevent or delay diabetes onset is critical to addressing the growing diabetes epidemic.

Interventions

BEHAVIORALNoom Coach DPP

Subjects receiving the smartphone app will receive the DPP core curriculum for 16 weeks and then the post-core curriculum for 36 weeks through the app. The Noom mobile app allows secure patient monitoring through a participant dashboard that the coach can use to increase patient adherence and motivation to achieve DPP goals. The participant can log their food intake, weight, steps, exercise, in addition to participating in the DPP group interaction through the application.

Sponsors

Stony Brook University
CollaboratorOTHER
Noom Inc.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
DOUBLE (Subject, Caregiver)

Eligibility

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

Inclusion criteria

* English-speaking * 18 years of age and older * Referral from the patient's physician * Hemoglobin A1C: 5.7 - 6.4 within the 3 months prior to enrollment * Own a smartphone (Apple or Android)

Exclusion criteria

* Recent weight loss (by patient report, \>5 lbs in the 6 months preceding enrollment visit) * previous diagnosis of type 1 or type 2 diabetes * serious or persistent mental illnesses * more than 72 hours of hospitalization in the last 30 days * Enrollment in a structured weight-loss program currently or within the 1 month preceding study enrollment * Pregnant * Currently nursing * Have given birth within the past 3 months * Has been discouraged by a physician to enroll in a DPP program

Design outcomes

Primary

MeasureTime frameDescription
Change in weightBaseline, 6, and 12 monthsBody weight recorded during follow-up appointments at the medical clinic.

Secondary

MeasureTime frameDescription
Change in hemoglobin A1cBaseline, 6, and 12 monthsHemoglobin A1c measured during follow-up appointments at the medical clinic.

Other

MeasureTime frameDescription
Change in work productivityBaseline, 6, and 12 monthsWork Productivity and Activity Impairment Questionnaire: General Health V2.0 (WPAI) 1. Are you currently employed (working for pay)? 2. During the past seven days, how many hours did you miss from work because of your health problems? 3. During the past seven days, how many hours did you miss from work because of any other reason, such as vacation, holidays, time off to participate in this study? 4. During the past seven days, how many hours did you actually work? 5. During the past seven days, how much did your health problems affect your productivity while you were working? (0-10, higher is more impact) 6. During the past seven days, how much did your health problems affect your ability to do your regular daily activities, other than work at a job? By regular activities, we mean the usual activities you do, such as work around the house, shopping, childcare, exercising, studying, etc.(0-10, higher is more impact)
Change in quality of lifeBaseline, 6, and 12 monthsHealthy Days Core Module (CDC HRQOL- 4) 1. Would you say that in general your health is excellent, very good, good, fair or poor? Excellent Good Fair Poor 2. Now thinking about your physical health, which includes physical illness and injury, how many days during the past 30 days was your physical health not good? 3. Now thinking about your mental health, which includes stress, depression, and problems with emotions, how many days during the past 30 days was your mental health not good? 4. During the past 30 days, approximately how many days did poor physical or mental health keep you from doing your usual activities, such as self-care, work, or recreation?

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026