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Pilot-Testing Real-Time Engagement for Learning to Effectively Control Type 2 Diabetes

Real-Time Engagement for Learning to Effectively Control Type 2 Diabetes: Pilot Study

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07270016
Acronym
REFLECT2DPilot
Enrollment
30
Registered
2025-12-08
Start date
2026-02-16
Completion date
2026-12-01
Last updated
2026-02-20

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

Conditions

Continuous Glucose Monitoring, Diabetes Mellitus, Type 2, Hyperglycemia, Lifestyle (Sedentary Behavior and Physical Activity), Physical Inactivity

Keywords

adolescent, young adult, type 2 diabetes, CGM

Brief summary

The goal of this study is to pilot test features of a new smartphone app and to gather feedback related to wearing a continuous glucose monitor (CGM) and a Fitbit device, as well as to obtain input on health behavior-focused messages delivered through the app. The study will enroll English-speaking participants aged 16-24 years who were diagnosed with type 2 diabetes before age 18. Participants will be asked to fill out surveys about diabetes, physical activity, and diet before and after wearing a CGM for 30 days. At the end of wearing the CGM, participants will complete an interview about their experience.

Interventions

OTHERHealthmine app

Participants will wear study-provided continuous glucose monitoring device and Fitbit physical activity tracker for 30 consecutive days. During the same period, they will use an investigator-developed smartphone app (Healthmine), which is being developed to pair CGM and Fitbit data. Participants will receive up to one message about health behavior change (e.g., physical activity, nutrition) daily and will be able to use Healthmine to log exercise and dietary intake.

Sponsors

University of Pittsburgh
Lead SponsorOTHER
San Diego State University
CollaboratorOTHER
Emory University
CollaboratorOTHER
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
CollaboratorNIH
University of Michigan
CollaboratorOTHER
Dartmouth College
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
16 Years to 24 Years
Healthy volunteers
No

Inclusion criteria

* Ages 16-24 years, any sex or gender * Diagnosis of type 2 diabetes in childhood (younger than 18 years of age) * English-speaking (app in English) * Possession of personal smartphone that is compatible with FreeStyle Libre app

Exclusion criteria

• Cognitive impairment or severe psychiatric conditions that could interfere with participation in behavioral intervention for diabetes self-management

Design outcomes

Primary

MeasureTime frameDescription
Usability of Healthmine app15 days and 30 days after starting study-provided CGM and Healthmine app useAssessed via the System Usability Scale (SUS), a 10-item questionnaire measuring perceived usability of a system or technology. Each item is rated on a 5-point Likert scale ranging from 1 ("strongly disagree") to 5 ("strongly agree"). The total SUS score is calculated by summing the score contributions from each item (for odd-numbered items, subtract 1 from the user response; for even-numbered items, subtract the user response from 5), multiplying the sum by 2.5, resulting in a score ranging from 0 to 100. Higher scores indicate better perceived usability, with scores above 68 considered above average usability.

Secondary

MeasureTime frameDescription
Days with CGM data30-day CGM wear periodThe number of days with continuous glucose monitoring data available will be divided by the total number of requested days of wear (30) to obtain percentage of days with data.
Days with Fitbit data30-day Fitbit wear periodThe number of days with Fitbit data available will be divided by the total number of requested days of wear (30) to obtain percentage of days with data.
Mean CGM glucose30-day CGM wear periodMean glucose obtained from study-provided CGM
Step count30-day Fitbit wear periodStep count data will be obtained via study-provided Fitbit.
Diabetes Self-ManagementBaseline and 30 days (change from baseline to 30 days)Assessed via the Diabetes Self-Management Questionnaire (DSMQ), a 16-item self-report questionnaire measuring diabetes self-care activities associated with glycemic control. Each item is rated on a 4-point Likert scale (0 = "does not apply to me" to 3 = "applies to me very much"). Items are summed (after reverse-coding negatively worded items) and transformed to a 0-10 scale, where higher scores indicate better self-management.
Treatment Self-RegulationBaseline and 30 days (change from baseline to 30 days)Assessed via the Treatment Self-Regulation Questionnaire (TSRQ), a questionnaire measuring the degree to which a person's motivation for health behaviors is relatively autonomous (self-determined) versus controlled (motivated by external factors). Items are rated on a 7-point Likert scale (1 = "not at all true" to 7 = "very true"). The TSRQ yields subscale scores for autonomous regulation, controlled regulation, and amotivation, with higher scores on each subscale indicating greater levels of that type of motivation.
Self-Reported Physical ActivityBaseline and 30 days (change from baseline to 30 days)Assessed via the PACE+ Physical Activity Measure, a brief self-report questionnaire measuring physical activity levels. Participants report the number of days per week they engage in moderate or vigorous physical activity for at least 30 minutes (or 60 minutes for adolescents). The measure yields separate scores for moderate and vigorous activity (each ranging from 0-7 days per week), with higher scores indicating greater physical activity frequency.
Diet QualityBaseline and 30 days (change from baseline to 30 days)Assessed via the Prime Diet Quality Score (PDQS), a food-based dietary assessment tool that evaluates diet quality across 15 food group components. The PDQS includes 10 adequacy components (dark green leafy vegetables, cruciferous vegetables, carrots, other vegetables, citrus fruits, other fruits, fish/seafood, eggs, whole grains, and low-fat dairy) and 5 moderation components (red meat as main dish, processed meat, refined grains and baked goods, sugar-sweetened beverages, and fried foods). Each component is scored based on consumption frequency, with higher scores indicating greater intake of health-promoting foods and lower intake of foods that should be consumed in moderation. The total PDQS ranges from 0-30, with higher scores indicating better overall diet quality.
Glucose monitoring satisfaction30 days (following CGM wear period)Assessed via the Glucose Monitoring Satisfaction Survey (GMSS) for Type 2 Diabetes, a 15-item questionnaire measuring patient satisfaction with their glucose monitoring device. Items are rated on a 5-point Likert scale (1 = "strongly disagree" to 5 = "strongly agree"). The GMSS yields four subscale scores: Openness (items 1, 8, 10, 14), Emotional Burden (items 2, 5, 9, 13), Behavioral Burden (items 3, 6, 11, 15), and Worthwhileness (items 4, 7 \[reverse coded\], 12). Subscale scores are calculated as the mean of item responses, with higher scores indicating greater openness, greater burden (for burden subscales), and greater worthwhileness, respectively. A total satisfaction score is calculated as the mean of all items after reverse-coding items 2, 3, 5, 6, 7, 9, 11, 13, and 15, with higher total scores indicating greater overall satisfaction with glucose monitoring.
Glucose coefficient of variation30-day CGM wear periodBased on CGM glucoses, coefficient of variation will be calculated by dividing the standard deviation of glucose readings by the mean glucose level, then multiplying by 100 to get a percentage.
Glucose time below range30-day CGM wear periodPercent of time with CGM glucose less than 70 mg/dL
Glucose time in range30-day CGM wear periodPercent of time with CGM glucose 70-180 mg/dL
Glucose time above range30-day CGM wear periodPercent of time with CGM glucose above 180 mg/dL
Mean amplitude of glycemic excursions30-day CGM wear periodA measure of glucose variability calculated from CGM data, calculated by dividing the standard deviation of glucose readings by the mean glucose level, then multiplying by 100 to get a percentage.

Countries

United States

Contacts

CONTACTMary Ellen Vajravelu, MD, MSHP
maryellen.vajravelu@pitt.edu4126926533
PRINCIPAL_INVESTIGATORMary Ellen Vajravelu, MD, MSHP

University of Pittsburgh

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 21, 2026