Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.

OBJECTIVE: To evaluate the effect of a culturally sensitive diabetes self-management education program that uses a low-cost, peer-educator format (Project Dulce) on glucose control and metabolic parameters in low-income Mexican Americans with type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 207 Mexican-American patients recruited from federally funded community health centers in San Diego County with HbA1c >8% were randomly assigned to the Project Dulce peer intervention or continuation of standard diabetes care. The primary outcome of interest was HbA1c. RESULTS: The majority of subjects were born in Mexico, were female, were middle-aged, had less than an eighth-grade education, and had high baseline HbA1c levels. Significant time-by-group interaction effects for HbA1c (P = 0.02) and diastolic blood pressure (P = 0.04) indicated that the Project Dulce group exhibited greater improvement (i.e., decreases) across time. Within-group analyses showed that the intervention group exhibited significant improvements from baseline to month 4 in absolute levels of HbA1c (−1.7%, P = 0.001) and HDL cholesterol (+1.4 mg/dL, P = 0.01) and from baseline to month 10 in absolute levels of HbA1c (−1.5%, P = 0.01), total cholesterol (−7.2 mg/dL, P = 0.04), HDL cholesterol (+1.6 mg/dL, P = 0.01), and LDL cholesterol (−8.1 mg/dL, P = 0.02). No significant changes were noted in the control group. CONCLUSIONS: This randomized trial, using the Project Dulce model of culturally sensitive, peer-led education, demonstrates improvement in glucose and metabolic control and suggests that this low-cost approach to self-management education for high-risk diabetic populations is effective.

OBJECTIVE: Type 2 diabetes is growing in epidemic proportions and disproportionately affects lower-income, diverse communities. Text messaging may provide one of the most rapid methods to overcome the “digital divide” to improve care. RESEARCH DESIGN AND METHODS: A randomized, nonblinded, parallel-groups clinical trial design allocated N = 126 low-income, Hispanic participants with poorly controlled type 2 diabetes to receive the Dulce Digital intervention or usual care (UC). Dulce Digital participants received up to three motivational, educational, and/or call-to-action text messages per day over 6 months. The primary outcome was HbA1c; lipids, blood pressure, and BMI were secondary outcomes. Satisfaction and acceptability were evaluated via focus groups and self-report survey items. RESULTS: The majority of patients were middle-aged (mean age 48.43 years, SD 9.80), female (75%), born in Mexico (91%), and uninsured (75%) and reported less than a ninth-grade education level (73%) and mean baseline HbA1c 9.5% (80 mmol/mol), SD 1.3, and fasting plasma glucose 187.17 mg/dL, SD 64.75. A statistically significant time-by-group interaction effect indicated that the Dulce Digital group achieved a significantly greater reduction in HbA1c over time compared with UC (P = 0.03). No statistically significant effects were observed for secondary clinical indicators. The number of blood glucose values texted in by participants was a statistically significant predictor of month 6 HbA1c (P < 0.05). Satisfaction and acceptability ratings for the Dulce Digital intervention were high. CONCLUSIONS: Use of a simple, low-cost text messaging program was found to be highly acceptable in this sample of high-risk, Hispanic individuals with type 2 diabetes and resulted in greater improvement in glycemic control compared with UC.

OBJECTIVE—To improve clinical diabetes care, patient knowledge, and treatment satisfaction and to reduce health-adverse culture-based beliefs in underserved and underinsured populations with diabetes. RESEARCH DESIGN AND METHODS—A total of 153 high-risk patients with diabetes recruited from six community clinic sites in San Diego County, California were enrolled in a nurse case management (NCM) and peer education/empowerment group. Baseline and 1-year levels of HbA_1c, lipid parameters, systolic and diastolic blood pressure, knowledge of diabetes, culture-based beliefs in ineffective remedies, and treatment satisfaction were prospectively measured. The NCM and peer education/empowerment group was compared with 76 individuals in a matched control group (CG) derived from patients referred but not enrolled in Project Dulce. RESULTS—After 1 year in Project Dulce, the NCM and peer education/empowerment group had significant improvements in HbA_1c (12.0–8.3%, P < 0.0001), total cholesterol (5.82–4.86 mmol/l, P < 0.0001), LDL cholesterol (3.39–2.79 mmol/l, P < 0.0001), and diastolic blood pressure (80–76 mmHg, P < 0.009), which were significantly better than in the CG, in which no significant changes were noted. Accepted American Diabetes Association standards of diabetes care, knowledge of diabetes (P = 0.024), treatment satisfaction (P = 0.001), and culture-based beliefs (P = 0.001) were also improved. CONCLUSIONS—A novel, culturally appropriate, community-based, nurse case management/peer education diabetes care model leads to significant improvement in clinical diabetes care, self-awareness, and understanding of diabetes in underinsured populations.

Background: Diabetes is the sixth leading cause of death and results in significant morbidity. The purpose of this study is to determine what demographic, health status, treatment, access/quality of care, and behavioral factors are associated with poor glycemic control in a Type 2 diabetic, low-income, minority, San Diego population. Methods: Longitudinal observational data was collected on patients with Type 2 diabetes from Project Dulce, a program in San Diego County designed to care for an underserved diabetic population. The study sample included 573 patients with a racial/ethnic mix of 53% Hispanic, 7% black, 18% Asian, 20% white, and 2% other. We utilized mixed effects models to determine the factors associated with poor glycemic control using hemoglobin A1C (A1C) as the outcome of interest. A multi-step model building process was used resulting in a final parsimonious model with main effects and interaction terms. Results: Patients had a mean age of 55 years, 69% were female, the mean duration of diabetes was 7.1 years, 31% were treated with insulin, and 57% were obese. American Diabetes Association (ADA) recommendations for blood pressure and total cholesterol were met by 71% and 68%, respectively. Results of the mixed effects model showed that patients who were uninsured, had diabetes for a longer period of time, used insulin or multiple oral agents, or had high cholesterol had higher A1C values over time indicating poorer glycemic control. The younger subjects also had poorer control. Conclusion: This study provides factors that predict glycemic control in a specific low-income, multiethnic, Type 2 diabetic population. With this information, subgroups with high risk of disease morbidity were identified. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes.