- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06517576
Using Remote Monitoring to Address Health Disparities in Type 2 Diabetes
August 5, 2025 updated by: Andrew Wang, Lawndale Christian Health Center
Randomized Controlled Trial Using Remote Monitoring With an Automated Patient Engagement System and a Self-Monitoring Program With Continuous Glucose Monitors to Address Health Disparities in Type 2 Diabetes
Patient populations at community health centers, specifically Black or African American and Hispanic or Latino populations with Type 2 diabetes, experience significant health disparities.
In particular, they have higher rates of diabetes-related complications and other related conditions such as myocardial infarction, cerebrovascular disease, kidney failure, blindness, neuropathy, and the risk of amputation.
Diabetes affects 34 million adults in the US.
Achieving a target HbA1c less than 8% can be challenging through diabetes management.
Patients are able to monitor their blood glucose levels with devices such as blood glucose meters or continuous glucose monitors to facilitate diabetes management and glycemic control.
Past studies have demonstrated that these devices are effective in engaging patients in the improvement of diabetes management.
Current advancements in remote patient monitoring and self-monitoring have been observed to be effective in facilitating improvement in diabetes outcomes.
However, the effectiveness and financial feasibility of these devices delivered in conjunction with automated patient engagement systems in remote patient monitoring programs is not well understood among underinsured, underserved, and vulnerable minority populations as they face a high-cost barrier particularly with continuous glucose monitors.
To better address this gap in knowledge, this pilot study will compare and examine the effectiveness of these interventions on patient outcomes with Type 2 diabetes among populations in the West Side of Chicago.
Study the comparative effectiveness among patients with uncontrolled Type 2 diabetes on insulin in an intervention group using remote patient monitoring and automated patient engagement system with blood glucose monitors to a group using a self-monitoring program with continuous glucose monitors and a usual care group receiving standard care.
Conduct a feasibility analysis and financial impact of these programs among an underinsured and underserved population of Black/African Americans or Hispanic/Latinos with Type 2 diabetes.
Study Overview
Status
Enrolling by invitation
Conditions
Detailed Description
This will be conducted at a Lawndale Christian Health Center, a community health center in the West Side of Chicago that serves a largely Black or African American and Hispanic or Latino population.
To accomplish this objective, Aim 1 will study the impact on patients with uncontrolled Type 2 diabetes on insulin by comparing an intervention group that features remote patient monitoring with an automated patient engagement system and health coaching using blood glucose meters compared to a group that features a self-monitoring program using continuous glucose monitoring devices and a usual care group with standard care, and Aim 2 will examine the feasibility of implementing these interventions and financial impact of each treatment group at a community health center.
To understand the effect of this study on health outcomes, patient level data will be examined including primary outcomes for health measurements such as HbA1c, blood glucose, BMI/weight, estimated glomerular filtration rate (eGFR), patient-reported outcomes including medication adherence, daily activities, diabetes self-management activities, and secondary outcomes for health measurements such as LDL cholesterol, systolic and diastolic blood pressures, as well as implementation outcomes such as acceptability, appropriateness, and feasibility.
The costs of implementation and delivery will be examined using a budget impact analysis.
This study will be essential for informing the impact on health disparities through remote monitoring with automated patient engagement compared to self-monitoring when providing care for underinsured and underserved populations.
Study Type
Interventional
Enrollment (Estimated)
150
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Illinois
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Chicago, Illinois, United States, 60623
- Lawndale Christian Health Center
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- 18 years of age or older
- Have an assigned primary care provider
- Diagnosis of Type 2 diabetes
- Medication use is insulin
- HbA1c of 8.0% or higher
Exclusion Criteria:
- Diagnosis of chronic kidney disease at Stage 4 or higher
- Diagnosis of pregnancy
- Diagnosis of behavioral health conditions including serious mental illness or severe depression in the past 6 months.
- All participants must have a smartphone that is able to access internet services.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Remote patient monitoring and automated patient engagement system with blood glucose monitors
Participants in this group will receive blood glucose monitors and will check their blood glucose daily with monitoring through a digital platform and provided health coaching.
|
Blood glucose monitors will be used daily to measure blood glucose measurements.
Other Names:
|
|
Experimental: Self-monitoring program with continuous glucose monitors
Participants in this group will receive continuous glucose monitors and will self monitor their blood glucose measurements with support by their care team.
|
Continuous glucose monitors will be used daily to measure blood glucose measurements.
Other Names:
|
|
Active Comparator: Usual care group receiving standard care
Participants in this group will receive standard care for diabetes.
|
Usual care for type 2 diabetes
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Glycated Hemoglobin
Time Frame: Baseline and at 4 Months
|
HbA1c based on blood sugar attached to hemoglobin based on lab analysis of blood.
|
Baseline and at 4 Months
|
|
Blood Glucose
Time Frame: 4 Months
|
Blood glucose measurements based blood glucose monitor (BGM) and continuous glucose monitor (CGMs).
|
4 Months
|
|
Engagement with digital platform with a daily submission of blood glucose
Time Frame: 4 Months
|
Daily blood glucose measurements from blood glucose monitor submitted to the digital platform
|
4 Months
|
|
Implementation - Acceptability of Intervention Measure (AIM)
Time Frame: Baseline and at 4 Months
|
Self-reported perception among patients that this service is agreeable, palatable, or satisfactory with a likert scale of disagree to agree.
|
Baseline and at 4 Months
|
|
Implementation - Intervention Appropriateness Measure (IAM)
Time Frame: Baseline and at 4 Months
|
Self-reported perception among patients that this service is fit, relevant, and compatible with a likert scale of disagree to agree.
|
Baseline and at 4 Months
|
|
Implementation - Feasibility of Intervention Measure (FIM)
Time Frame: Baseline and at 4 Months
|
Self-reported perception among patients that this service is successfully used or carried out within a primary care setting with a likert scale of disagree to agree.
|
Baseline and at 4 Months
|
|
The Diabetes Self-Management Questionnaire (DSMQ) on eating, medication, glucose monitoring, physical activity, and healthcare use
Time Frame: Baseline and at 4 Months
|
Self-reported perception among patients of eating behavior, medication adherence, glucose monitoring, physical activity, and healthcare use with a likert scale of applies to me very much, applies to me a considerable degree, applies to some degree, and does not apply to me.
|
Baseline and at 4 Months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight
Time Frame: Baseline and at 4 Months
|
Weight in pounds
|
Baseline and at 4 Months
|
|
Height
Time Frame: Baseline and at 4 Months
|
Height in inches
|
Baseline and at 4 Months
|
|
Estimated glomerular filtration rate
Time Frame: Baseline and at 4 Months
|
The eGFR based on blood test.
|
Baseline and at 4 Months
|
|
Low-density lipoprotein Cholesterol
Time Frame: Baseline and at 4 Months
|
The LDL cholesterol based on blood test.
|
Baseline and at 4 Months
|
|
Blood Pressure
Time Frame: Baseline and at 4 Months
|
The systolic and diastolic blood pressure using blood pressure monitor.
|
Baseline and at 4 Months
|
|
Clinic Visit
Time Frame: 4 Months
|
The total count of clinic visits both virtually and on-site.
|
4 Months
|
|
Hospitalizations
Time Frame: 4 Months
|
The total count of hospital admissions.
|
4 Months
|
|
Costs of Implementation
Time Frame: 4 Months
|
Total estimated costs of implementing interventions using a budget impact analysis
|
4 Months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Andrew Wang, Lawndale Christian Health Center
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Weiner BJ, Lewis CC, Stanick C, Powell BJ, Dorsey CN, Clary AS, Boynton MH, Halko H. Psychometric assessment of three newly developed implementation outcome measures. Implement Sci. 2017 Aug 29;12(1):108. doi: 10.1186/s13012-017-0635-3.
- Schmitt A, Gahr A, Hermanns N, Kulzer B, Huber J, Haak T. The Diabetes Self-Management Questionnaire (DSMQ): development and evaluation of an instrument to assess diabetes self-care activities associated with glycaemic control. Health Qual Life Outcomes. 2013 Aug 13;11:138. doi: 10.1186/1477-7525-11-138.
- Weinstock RS, Aleppo G, Bailey TS, Bergenstal RM, Fisher WA, Greenwood DA, Young LA. The Role of Blood Glucose Monitoring in Diabetes Management. Arlington (VA): American Diabetes Association; 2020 Oct. Available from http://www.ncbi.nlm.nih.gov/books/NBK566165/
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 1, 2024
Primary Completion (Estimated)
August 31, 2025
Study Completion (Estimated)
September 30, 2025
Study Registration Dates
First Submitted
July 11, 2024
First Submitted That Met QC Criteria
July 18, 2024
First Posted (Actual)
July 24, 2024
Study Record Updates
Last Update Posted (Actual)
August 11, 2025
Last Update Submitted That Met QC Criteria
August 5, 2025
Last Verified
August 1, 2025
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- LCHC-ID-10
- P30DK092949 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
product manufactured in and exported from the U.S.
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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