NCT06848361

Brief Summary

Day-to-day self-management by adults with type 2 diabetes, including glucose monitoring, taking medications, and healthy habits, is essential to avoid diabetes complications, yet, despite the rapidly expanding availability of wearable glucose and activity monitors, successful self-management remains challenging for many. This research aims to develop and test an approach to help adults use their personal diabetes information from wearable devices to achieve and sustain health diabetes self-management, which will reduce diabetes complications, and improve health and quality of life for people with type 2 diabetes.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
80

participants targeted

Target at P50-P75 for not_applicable

Timeline
7mo left

Started Apr 2025

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress64%
Apr 2025Dec 2026

First Submitted

Initial submission to the registry

February 21, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

February 27, 2025

Completed
2 months until next milestone

Study Start

First participant enrolled

April 28, 2025

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2026

Last Updated

May 6, 2026

Status Verified

October 1, 2025

Enrollment Period

1.6 years

First QC Date

February 21, 2025

Last Update Submit

May 4, 2026

Conditions

Keywords

Type 2 Diabetes MellitusAdultGlucose MonitoringMobile ApplicationDiabetes Self-ManagementActivity TrackerContinuous Glucose MonitoringEmpowerment

Outcome Measures

Primary Outcomes (3)

  • Percent of eligible individuals who enroll in the study

    Percent of individuals contacted and found eligible who enroll in the study. The goal benchmark is \>/=60%.

    Pre-baseline

  • Percent of days wearable device data is collected

    Percent of days adequate wearable device data is collected during the 4-month intervention. The goal benchmark is \>/=75%.

    From 0 to 4 months

  • Percent participants retained in study to the 4-month outcome assessment

    Percent of participants retained in the study through the 4-month outcome assessment. The goal benchmark is \>/=85%.

    From 0 to 4 months

Secondary Outcomes (21)

  • Percent of individuals contacted who enroll in the study

    Pre-baseline

  • Percent of days self-report data is collected

    From 0 to 4 months

  • Percent of weeks participant responds to goal-setting prompts

    From 0 to 4 months

  • Participant satisfaction with intervention

    4 months

  • Change in hemoglobin A1c

    Baseline vs 4-6 Months

  • +16 more secondary outcomes

Study Arms (3)

MPowerHub

EXPERIMENTAL

Participants will: 1. Meet with a Diabetes Care and Education Specialist for an initial diabetes self-management education session that will include individualized assessment, education, and coaching on how to set personal diabetes self-management behavior goals and action plans, and follow-up education as needed. 2. Be trained on how to use assigned study devices (MPowerHub, continuous glucose monitor (CGM), and activity tracker). 3. Be asked to use assigned study devices (MPowerHub, CGM, and activity tracker) for 4 months.

Device: MPowerHubDevice: Continuous Glucose Monitor (CGM)Device: Activity Monitor

Continuous Glucose Monitor (CGM) Only

ACTIVE COMPARATOR

Participants will: 1. Meet with a Diabetes Care and Education Specialist for an initial diabetes self-management education session that will include individualized assessment, education, and coaching on how to set personal diabetes self-management behavior goals and action plans, and follow-up education as needed. 2. Be trained on how to use assigned study device (CGM). 3. Be asked to use assigned study device (CGM) for 4 months.

Device: Continuous Glucose Monitor (CGM)

Activity Monitor Only

ACTIVE COMPARATOR

Participants will: 1. Meet with a Diabetes Care and Education Specialist for an initial diabetes self-management education session that will include individualized assessment, education, and coaching on how to set personal diabetes self-management behavior goals and action plans, and follow-up education as needed. 2. Be trained on how to use assigned study device (activity tracker). 3. Be asked to use assigned study device (activity tracker) for 4 months.

Device: Activity Monitor

Interventions

MPowerHubDEVICE

The MPowerHub app allows participants to visualize combined trends from a continuous glucose monitor (CGM) and activity monitor as well as daily self-reports in a display that the participant can customize to overlay the behavioral data they would like to compare to intraday and daily glucose data. Summary data will be displayed over time to allow users to identify potential associations between activity, sleep, stress, diet, and medication adherence and time-in-range and blood glucose variability. Participants receive daily prompts to complete five brief questions about daily health behaviors and two weekly goals/action plans and reflections based on motivational interviewing principles.

MPowerHub

A CGM is a wearable device that collects frequent data on glucose levels. It includes an integrated sensor that is inserted under the skin and is connected to a small transmitter that automatically sends information to a smart device, allowing the user to track changes in glucose levels.

Continuous Glucose Monitor (CGM) OnlyMPowerHub

A wearable activity monitor will be used to track activity (e.g., steps) and sleep levels. Data can be viewed on the activity monitor or a smart device.

Activity Monitor OnlyMPowerHub

Eligibility Criteria

Age25 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Received outpatient care in the participating health system in the last 12 months
  • Has a diagnosis of type 2 diabetes mellitus (ICD10 codes E08.xx, E09.xx, E11.xx, E13.xx,O24.1x , O24.3x, O24.8x, O24.9x)
  • Last Hemoglobin A1c (HbA1c) value obtained in the last 6 months was ≥7.5%
  • Currently prescribed at least one non-insulin diabetes medication
  • Able to provide informed consent
  • Able to interact with a simple smartphone application
  • Owns or has access to a smartphone that is able to access an internet website
  • Did not participate a prior study related to this protocol

You may not qualify if:

  • Originally was diagnosed with type 2 diabetes before the age of 21 years
  • Has a diagnosis of type 1 diabetes mellitus
  • Has a diagnosis of gestational diabetes without any other diabetes diagnoses
  • Is currently prescribed insulin
  • Currently is using a CGM device
  • Has a diagnosis (active or prior) of schizophrenia or other psychotic/delusional disorder
  • Has a life-limiting severe illness (e.g., chronic obstructive pulmonary disease requiring oxygen)
  • Is pregnant or planning to become pregnant within the next 6 months
  • Has other concerns that may interfere significantly with their ability to participate in the intervention (ongoing health issues, personal events, etc.)
  • Currently is enrolled in another diabetes management intervention study

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Pittsburgh

Pittsburgh, Pennsylvania, 15213, United States

Location

MeSH Terms

Conditions

Diabetes Mellitus, Type 2Empowerment

Interventions

Fitness Trackers

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesSocial BehaviorBehavior

Intervention Hierarchy (Ancestors)

Diagnostic EquipmentEquipment and SuppliesWearable Electronic DevicesElectrical Equipment and Supplies

Study Officials

  • Ann-Marie Rosland, MD, MS

    University of Pittsburgh

    PRINCIPAL INVESTIGATOR
  • Carissa Low, PhD

    University of Pittsburgh

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Associate Professor of Medicine

Study Record Dates

First Submitted

February 21, 2025

First Posted

February 27, 2025

Study Start

April 28, 2025

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Last Updated

May 6, 2026

Record last verified: 2025-10

Data Sharing

IPD Sharing
Will share

Data derived from the trial will be eligible to be shared. Data sets will include only "limited access data" (i.e., no records with personal identifiers). Data sets will be de-identified prior to distribution, and wearable sensor data will be aggregated at a level that is determined to preserve individual confidentiality. Data sharing will follow the NIDDK Policy for Data Sharing (https://niddk.nih.gov/research-funding/research-resources/data-management-sharing).

Shared Documents
STUDY PROTOCOL, ICF
Time Frame
Data underlying publication will be made available on the study publication date. Data not used in publications will be prepared for sharing by the completion of the award and will remain available for at least five years.
Access Criteria
Data requests must be submitted in writing using a structured data request form. All data requests will be reviewed by the Multiple PIs (MPIs) and subject to the join approval of the MPIs and co-investigators prior to sharing. Requesters will be required to sign a data use agreement prior to receiving access to the data. The requesting institution's IRB or equivalent body must approve the requested use. All data sharing will follow institutional policies and local IRB rules, as well as local, state, and Federal laws and regulations including the HIPAA Privacy Rule.

Locations