Developing and Testing a Technology-Based Translation of the DPP to Address Prediabetes in a Primary Care Setting

Study Overview
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Brief Summary
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DPPFit is a Healthy Lifestyle Intervention designed to reformat the effective strategies of the Diabetes Prevention Program (NDPP) into a tool for use in a primary care setting. DPPFit is a 16-week technology-based intervention for diabetes prevention. In keeping with the National DPP educational sessions, the intervention weeks follow the order and presentation of the N-DPP 16 session topics. The goal is to develop a pragmatic translation of the DPP that is effective in the real-world setting of primary care clinic. The hope is that in doing so, those at risk of developing type II diabetes mellitus will have evidenced-based prevention methods at their disposal.

Detailed Description
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DPPFit is an HLI designed to translate the effective strategies of the National Diabetes Prevention Program (N-DPP) into a tool for use in a primary care setting. The 16-week intervention follows the order of the 16 sessions that make up the core components of the traditional DPP. The novelty in this application is the intervention delivery, in addition to the use of technology to supplement resource and time intensive DPP behavioral strategies. The entire intervention is delivered through automated text messages (SMS/MMS). For any given week, the daily text messages for that week reflect the core session of the DPP (i.e DPPFit Week 1 texts correspond to DPP Session 1). In addition to the automated daily messages, participants are issued a Fitbit and assisted in setting up the Fitbit App on their smart phones. The Fitbit App is considered a standalone mHealth App. The fitness tracker and companion App allow participants to set goals and track food and physical activity. The content of the text messaging is almost entirely from the N-DPP participant notebook (2012). Exceptions to this are a series of prompts to cue participant to use the Fitbit and/or Fitbit App to support the session. These include topics about setting goals in the Fitbit App, how to track food using the App, or how to connect with friends and do challenges on Fitbit. To be sustainable and feasible in a primary care setting, remote delivery of intervention materials and components is a necessary part of any evidence-based tool to address diabetes prevention. This automated, remote dissemination, technology-based application of the N-DPP components means that intervention delivery and protocol are feasible methods to address diabetes prevention in light of the ongoing Covid-19 health crisis.

Official Title
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Developing and Testing a Technology-Based Translation of the Diabetes Prevention Program for Adult Primary Care Patients At-Risk of Developing Type 2 Diabetes Mellitus

Conditions
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PreDiabetes, Metabolic Syndrome, Protection Against

Intervention / Treatment
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* Behavioral: DPPFit


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Non-institutionalized adult patients Ages 18 - 55 years Diagnosed as prediabetes or with HbA1c% values between 5.7-6.4%. Exclusion Criteria: Prior bariatric surgery Participation in weight loss program or current weight loss medication. History of T1DM or T2DM diagnosis Use of medications to treat glucose intolerance, including biguanides and sulfonylureas. History of infarction, angina, coronary artery bypass graft surgery, coronary angioplasty, congestive heart failure, or any condition that significantly limits their exercise such as peripheral arterial disease. BMI (kg/m²)< 18.5

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 55 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Prevention
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: Enhanced Intervention Group (EIG)<br>The Enhanced Intervention Group was a subgroup of the participants that were invited for voluntary weekly meet-n-greet sessions in the Primary Care Clinic. These sessions were information and not educational sessions for the intervention. The entire EIG concept was to test a social component of participants by providing an informal opportunity for a DPPFit social group. The group sessions were terminated after only 5 weeks as a result of the Covid-19 pandemic. They were the only component of the DPPFit study that were face-to-face. | Behavioral: DPPFit<br>* Participants issued Fitbit Device and set up Fitbit App. They are then enrolled in the automated text messaging platform. Day 1 of the intervention begins the Monday after consent. All consented participants receive the full intervention.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Weight Loss | Weight Loss by % of change and total weight change (kg) | 12 Months | 
| Physical Activity | Physical activity days/week, change > 10% of PA, Kcal/week | 6 months | 
| Inactivity | Change in Sedentary Time, Mins/day | 6 months | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Health Related Quality of Life | MOS SF-20 / MOS Social Support Scale | 6 months | 
| Hemoglobin A1c | Change in % of HbA1c at 1 year follow-up | 12 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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mHealth, real-world setting, primary care intervention, diabetes prevention, remote, translation