Effectiveness and Cost-Effectiveness of Fully-Automated Digital vs. Human Coach-Based Diabetes Prevention Programs

NCT05056376 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 368

Last updated 2025-12-17

Study results available
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Summary

The purpose of this research study is to compare the effectiveness of a fully automated digital diabetes prevention program to standard of care human coach-based diabetes prevention programs for promoting clinically meaningful lifestyle changes to reduce the risk of type 2 diabetes in adults with prediabetes.

Conditions

Interventions

BEHAVIORAL

Digital Diabetes Prevention Program (dDPP)

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.

BEHAVIORAL

Human Coach-based Diabetes Prevention Program (hDPP)

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.

Sponsors & Collaborators

  • National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

    collaborator NIH
  • Johns Hopkins University

    lead OTHER

Principal Investigators

  • Nestoras Mathioudakis, MD MHS · Johns Hopkins University

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-10-01
Primary Completion
2024-12-16
Completion
2024-12-16

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05056376 on ClinicalTrials.gov