Personalized Smartphone-assisted Coaching System to Improve Glucose Homeostasis in Adults With Prediabetes - Main Study

NCT ID: NCT03315663

Last Updated: 2019-05-16

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

WITHDRAWN

Clinical Phase

NA

Study Classification

INTERVENTIONAL

Study Start Date

2017-07-01

Study Completion Date

2019-04-19

Brief Summary

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Sweetch is a personalized mobile-health platform coaching system (mobile phone app) designed to promote adherence to physical activity guidelines for people with prediabetes.

Detailed Description

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The mobile phone app Sweetch seeks to increase leisure time physical activity rather than formal exercise through the use of a behavioral analytics engine that continuously process various aspects of the user's life habits, taking into account the user's demographics, behavioral change status, schedule, actual activity patterns, and more. The rationale behind this approach is that long-term adherence and patient engagement are more likely to be achieved when demands on manual user data entry are kept at a minimum. Compared to similar smartphone-assisted prevention apps, there are two novel features of the Sweetch app that may increase its efficacy. First, it uses a "just-in-time" adaptive intervention" approach that tailors recommendations to the user's day-to-day routine and his or her readiness for behavioral change. Second, and most importantly, it requires no direct involvement by the user, since all the necessary data is collected using built-in tracking pedometers, accelerometer and Global Positioning System (GPS) sensors on smartphones. In contrast, interventions that focus on dietary changes (i.e. calorie reduction, change in macronutrient content), require active user tracking at every meal, which is difficult to maintain in the long-term even with the use of sophisticated, electronic calorie counting tools. For these reasons, the Sweetch app may achieve greater long-term adherence, which is usually a limiting factor to efficacy of mobile health interventions.

Conditions

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Prediabetes Hyperglycemia Postprandial Hyperglycemia Impaired Glucose Tolerance Impaired Fasting Glucose

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This Pivotal Study will be a multicenter, parallel group, open-label randomized controlled trial with a planned period of 12-month follow-up with the primary effectiveness endpoint assessed at 6 months to compare Sweetch's mHealth Personalized Intervention Program (PIP) to usual care for adults with prediabetes. We intend to enroll 155 subjects in each arm, for a total of 310 subjects in this Study. Subjects will attend a total of 3 visits during the study period with point-of-care measurement of A1C at each study visit (0, 6, and 12 months). A difference in change in A1c of 0.1 between the intervention and control arms and in favor of the intervention arm will be considered clinically meaningful.
Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Open Label

Study Groups

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Sweetch App + DBWS

Participants receive usual care for prediabetes management. In addition, participants will be randomized to receive the Sweetch app plus weight monitoring via digital body weight scale (DBWS).

Group Type ACTIVE_COMPARATOR

Sweetch App & DBWS

Intervention Type OTHER

Usual care for prediabetes management, Sweetch app, weight monitoring via digital body weight scale (DBWS).

Sweetch App Alone

Participants receive usual care for prediabetes management. In addition, participants will be randomized to receive the Sweetch app alone.

Group Type ACTIVE_COMPARATOR

Sweetch App Alone

Intervention Type OTHER

Usual care for prediabetes management, Sweetch app alone.

Interventions

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Sweetch App & DBWS

Usual care for prediabetes management, Sweetch app, weight monitoring via digital body weight scale (DBWS).

Intervention Type OTHER

Sweetch App Alone

Usual care for prediabetes management, Sweetch app alone.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Adults aged 18 -75 years with prediabetes (fasting Blood Glucose (BG) 100-125 mg/dl, A1C 5.7% - 6.4%, or 2 hour BG of 140-199 mg/dl following 75-gram oral glucose tolerance test)
* Body mass index 24 - 40 kg/m2
* English speaker
* Smartphone user (Android or Apple 5s and above)

Exclusion Criteria

* Currently doing more than 150 minutes/week of moderate/vigorous physical activity
* Presence of medical conditions that prevent adoption of moderate physical activity
* Use of any glucose-lowering or weight loss medications within the previous 3 months
* Current pregnancy (self-reported) or planning pregnancy during study period (self-reported)
* Presence of any condition that can result in spurious A1C readings (e.g. anemia \[hemoglobin level below lower limit of normal\] secondary to iron, vitamin B12, or folate deficiencies; hemoglobinopathies)
* Use of systemic glucocorticoids
* Use of antipsychotic medications (stable doses for at least three months of anti-depressants or anti-anxiety drugs will be allowed)
* Severe mental illness or learning disability
* Current participation in another clinical trial
* Liver enzymes \>3 x upper limit of normal
* Poor literacy (REALM-R score of 6 or less)
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Sweetch Health, Ltd

UNKNOWN

Sponsor Role collaborator

Johns Hopkins University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Adrian S. Dobs, MD MHS

Role: PRINCIPAL_INVESTIGATOR

Johns Hopkins University

Locations

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Johns Hopkins Medical Institutions

Baltimore, Maryland, United States

Site Status

Reading Health System

Reading, Pennsylvania, United States

Site Status

Countries

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United States

Other Identifiers

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IRB00099813

Identifier Type: -

Identifier Source: org_study_id

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