This study aims to understand the use of continuous glucose monitors (CGM) in Asian Americans with type 2 diabetes (T2D). Researchers will compare participants on continuous glucose monitors with participants using fingerstick self-monitoring with the aim of answering the following questions: 1. Check if continuous glucose monitoring is doable and consistent for this group, and see how it affects their quality of life. 2. Estimate how well the health outcomes (glucose and lipid markers) vary over the study period. 3. Understand how social and community factors can impact the use of continuous glucose monitors in this group.
The Type 2 Diabetes (T2D) pandemic continues to expand in the U.S. and globally. However, the prevalence of T2D is much higher in Asian-Americans (AA) and in other minorities compared to non-Hispanic Whites in the U.S, and AAs have the highest age- and sex-adjusted undiagnosed rate of T2D (7.5%) compared to all other ethnic and racial groups. There is ample evidence that disparities in diagnosis and care for T2D exist in AA communities. The majority of AAs are 1st generation immigrants, and this has further contributed to the disparity in care and diagnosis of diabetes due to the following reasons: 1. Higher unawareness rate: A major contributor to higher T2D unawareness among AAs is the significant difference in BMI-associated T2D risk among AAs (24-25 kg/m2) compared with non-Asians (29-30 kg/m2). Until the "Screen at 23" campaign (See "Innovation"), no national agency would recognize and recommend that AAs be screened for T2D at lower BMIs of 23-25 kg/m2. Furthermore, NHANES data has shown that while age- and sex-adjusted diabetes prevalence among AAs is 19%, the breakdown of this figure may not be truly reflective of the actual prevalence among the disaggregated AA subgroups, which showed a wide variation with South Asians at 23%, Southeast Asians at 22%, and East Asians (including Chinese, Koreans and Japanese) at 14%, the last one being comparable to a recent report from China which showed diabetes prevalence of 11.2%. 2. Cultural and language barriers: AAs living in the US have the highest rates (35%) of limited English proficiency. This figure is even higher at 44% for foreign-born ChA. Limited English proficiency is closely linked to reduced health access, poor health outcomes and lower utilization rates of health technologies. 3. Model minority myth: Hurdles to health care have been significantly exacerbated by the exponential rise in anti-Asian sentiments during the COVID-19 pandemic. Rapidly advancing diabetes technologies, especially CGM, can achieve better metabolic targets, lower diabetes-related complications, and provide a better quality of life, which have been reported for other ethnic groups but not for AAs due to the systemic exclusion of AAs from CGM studies. Multiple systemic barriers exist for AA to access CGMs, including costs and lack of data to justify reimbursement, provider inertia, and lack of advocacy and vocalization of needs, on top of limited English proficiency and lack of culturally-tailored education. These barriers are in addition to a lack of "Digital Literacy", the new "super social determinant of health", which will increase disparities between those who have skills and access to digital tools and those who do not. In this proposal, we will evaluate the impact, barriers and facilitators of CGM use and adherence in AAs (1st generation ChA) with T2D. In this 6-month clinical trial, we will examine the impact of CGM use vs. No CGM among 1st generation ChA with T2D.The aim will be to: 1. Evaluate feasibility (adherence and consistency) and quality of life measures during CGM use in this population. 2. Generate precision estimates of the distribution of the secondary outcomes (6-month glycemic control and lipid markers) in both arms to inform a future randomized controlled trial (RCT). 3: Identify multi-level barriers and facilitators of CGM use for ChA with T2D, using a socioecological framework (patient-level, provider-level, and community/environment level). We aim to comprehensively evaluate the implementation process (facilitators and impediments), resource requirements, and intermediate patient adherence outcomes for the program using mixed-methods approaches. These will inform the design of culturally-tailored interventions for larger RCT.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
30
The Clinical Diabetes Educator (CDE) will follow up with the participants at Month 1 after the baseline study visit, at the study midpoint (Month 3), and at the end of the study (Month 6) to check CGM usage, including timely calibration and change adherence. At the end of the study, participants will be invited to complete a survey and participate in virtual interviews to assess changes in their health behaviors and the acceptability of CGM devices.
Participants will adhere to the standard care protocol and continue self-monitoring of blood glucose through fingersticks as per usual practice\[46\]. The Clinical Diabetes Educator (CDE) will monitor and provide follow-up to the control group participants as per the same schedule followed for the intervention group.
Joslin Diabetes Center
Boston, Massachusetts, United States
RECRUITINGFeasibility (CGM device adherence)
Number of hours device is active in total for the entire 6 month study period
Time frame: 6 month
Feasibility (Consistency) 1
Proportion CGM program elements completed at each visit against a checklist of pre-specified essential elements
Time frame: 6 months
Feasibility (Consistency) 2
Average session duration as compared to assigned time plan.
Time frame: 6 months
World Health Organization (Five) Well-Being Index (WHO-5) change over 6 month study period
WHO-5 uses a five-item scale to assess overall well-being
Time frame: Change in measure comparing Baseline and 6 months
EQ-5D-5L change over 6 month study period
EQ-5D-5L assesses health status both as an overall self-rated health on a visual analog scale and across five areas (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) with three levels of severity (no/mild, moderate, or severe problems)
Time frame: Change in measure comparing Baseline and 6 months
Diabetes Distress Scale (DDS) change over 6 month study period
DDS is a 17-item scale that measures worry and concerns specifically related to diabetes and its management
Time frame: Change in measure comparing Baseline and 6 months
Hypoglycemic Confidence Scale (HCS) change over 6 month study period
HCS is a nine-item survey that evaluates the degree to which patients feel able, secure, and comfortable about their ability to stay safe from hypoglycemic-related problems
Time frame: Change in measure comparing Baseline and 6 months
HbA1c change (%) from 0-6 months
HbA1c change (%) between baseline (0 months) and end of intervention period (6 months) will be assessed as a continuous response variable for each study arm
Time frame: Change in measure comparing Baseline and 6 months
Time in range (TIR) metrics change (%) from 0-6 months
Change in %TIR metrics between baseline (0 months) and end of intervention period (6 months) will be assessed as a continuous response variable for the CGM+ arm
Time frame: Change in measure comparing Baseline and 6 months
Lipid changes from 0-6 months
We plan to assess the changes from baseline to 6 months for levels of lipid profile components, including total cholesterol, triglyceride, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) levels.
Time frame: Change in measure comparing Baseline and 6 months
Blood pressure changes from 0-6 months
We will assess change from baseline to 6 months for systolic and diastolic blood pressures.
Time frame: Change in measure comparing Baseline and 6 months
eGFR changes from 0-6 months
We will assess change from baseline to 6 months for eGFR
Time frame: Change in measure comparing Baseline and 6 months
Diabetes Knowledge and Behavior change from 0-6 months
Assessed through Semi-structured virtual interviews that will be conducted at the Baseline and 6-month mark.
Time frame: Change comparing Baseline and 6 months
Family/social-level factors impacting technological device for care management
Semi-structured virtual interviews conducted at baseline and 6-month mark (in both arms) will also probe participants on broad topics of stigmas related to technology will be assessed with more directed questions on stigmas in varying environments-home, work, and in social gatherings.
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Time frame: Change comparing Baseline and 6 months