Improving diabetes care using data from sensors and the environment
Official title: Leveraging the Exposome and Patient Sensor Data to Enhance Personalized Diabetes Care Across Diverse Communities
Run by University of Illinois Chicago · NCT06989008 · Data updated 2026-11-12
This study is testing if using data from health records, wearable devices, and environmental sensors can help improve diabetes care for people with type 2 diabetes living in vulnerable neighborhoods.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 20 (estimated) |
| Sponsor | University of Illinois Chicago Academic / other |
| Locations | 2 sites (Chicago, Illinois and 1 other locations) |
| Status | Recruiting |
| Started | March 25, 2025 |
| Main results expected | January 1, 2026 |
| Study ends | January 31, 2026 |
| Registry record updated | May 25, 2025 |
| Trial ID | NCT06989008 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are individuals aged 18-65 with a diagnosis of type 2 diabetes residing in specific high social vulnerability zip codes.
✕Probably not a fit
Patients who do not speak or understand English or those unable to follow the research protocol may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance diabetes management for individuals with type 2 diabetes by integrating data from electronic health records, wearable devices, and environmental sensors. Participants will be monitored using continuous glucose monitoring (CGM) devices and physical activity trackers to gather comprehensive health data over a specified period. The study focuses on individuals living in vulnerable neighborhoods, ensuring that the findings are relevant to those who may benefit the most from personalized care. Data collection will involve both in-clinic visits and remote monitoring, allowing for a thorough analysis of how various factors influence diabetes management.
Why it matters
Potential benefit: If successful, this approach could lead to more personalized and effective diabetes care strategies for patients.
How similar studies have gone: Other studies have shown promise in using similar data integration approaches for chronic disease management, suggesting potential for success in this novel application.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria * People with diabetes in the 18-65 years of age range * Diagnosed with type 2 diabetes * Resides in the specified high social vulnerability zip codes - 60619, 60620, 60621, 60636, 60644, 60624, 60609, 60612, 60617, 60623, 60628, 60629, 60639, 60645, 60649, 60651, 60652, 60653 * Speak and understand the English language * Willing to wear various devices (CGM and sports wristband) * Own a smartphone Exclusion Criteria * Subjects will be excluded from the study for the following reasons: * Any concern of not understanding informed consent * Unable to understand or unwilling to follow research protocol
Where it's running
-
University of Illinois - Chicago
Chicago, Illinois, United States Recruiting -
University of Illinois College of Nursing
Chicago, Illinois, United States Recruiting
Study contacts
- Principal investigator: Andy Boyd, MD — University of Illinois Chicago
- Study coordinator: Laurie Quinn, PhD
- Email: lquinn1@uic.edu
- Phone: 312 771 6497
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.