Magnitude of Glycemic Improvement in Patients with Type 2 Diabetes Treated with Basal Insulin: Subgroup Analyses from the MOBILE Study

Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study

BACKGROUND

Despite the existence of an increasing array of digital technologies and tools for diabetes management, there are disparities in access to and uptake and use of continuous glucose monitoring (CGM) devices, particularly for those most at risk of poor diabetes outcomes.

OBJECTIVE

This study aims to assess communication technology and CGM access, literacy, and use among patients receiving treatment for diabetes at an inner-city safety-net hospital.

METHODS

A survey on digital technology ownership and use was self-administered by 75 adults with type 1 and type 2 diabetes at the diabetes clinic of Grady Memorial Hospital in Atlanta, Georgia. In-depth interviews were conducted with 16% (12/75) of these patient participants and 6 health care providers (HCPs) to obtain additional insights into the use of communication technology and CGM to support diabetes self-management.

RESULTS

Most participants were African American (66/75, 88%), over half (39/75, 52%) were unemployed or working part time, and 29% (22/75) had no health insurance coverage, while 61% (46/75) had federal coverage. Smartphone ownership and use were near universal; texting and email use were common (63/75, 84% in both cases). Ownership and use of tablets and computers and use and daily use of various forms of media were more prevalent among younger participants and those with type 1 diabetes, who also rated them as easier to use. Technology use specifically for diabetes and health management was low. Participants were supportive of a potential smartphone app for diabetes management, with a high interest in such an app helping them track blood sugar levels and communicate with their care teams. Younger participants showed higher levels of interest, perceived value, and self-efficacy for using an app with these capabilities. History of CGM use was reported by 56% (42/75) of the participants, although half (20/42, 48%) had discontinued use, above all due to the cost of the device and issues with its adhesive. Nonuse was primarily due to not being offered CGM by their HCP. Reasons given for continued use included convenience, improved blood glucose control, and better tracking of blood glucose. The in-depth interviews (n=18) revealed high levels of satisfaction with CGM by users and supported the survey findings regarding reasons for continued use. They also highlighted the value of CGM data to enhance communication between patients and HCPs.

CONCLUSIONS

Smartphone ownership was near universal among patients receiving care at an inner-city hospital. Alongside the need to address barriers to CGM access and continued use, there is an opportunity to leverage increased access to communication technology in combination with CGM to improve diabetes outcomes among underresourced populations.

Impact of continuous glucose monitoring on emergency department visits and all-cause hospitalization rates among Medicaid beneficiaries with type 2 diabetes treated with multiple daily insulin or basal insulin therapy

BACKGROUND

The increasing prevalence of diabetes in the United States continues to drive a steady rise in health care resource utilization, especially emergency department visits and all-cause hospitalizations, and the associated costs.

OBJECTIVE

To investigate the impact of continuous glucose monitoring (CGM) on emergency department visits and all-cause hospitalizations among Medicaid beneficiaries with type 2 diabetes (T2D) treated with multiple daily insulin injections (MDIs) or basal insulin therapy (BIT) in a real-world setting.

METHODS

In this retrospective, 12-month analysis, we used the Inovalon Insights claims dataset to evaluate the effects of CGM acquisition on emergency department visits and all-cause hospitalizations in the Managed Medicaid population. The analysis included 44,941 beneficiaries with T2D who were treated with MDIs (n = 35,367) or BIT (n = 9,574). Primary outcomes were changes in the number of emergency department visits and all-cause hospitalizations following 6 months after acquisition of CGM (post-index period) compared with 6 month prior to CGM acquisition (pre-index period). The first claim for CGM was the index date. Inclusion criteria were as follows: aged younger than 65 years, diagnosis of T2D, claims for short- or rapid-acting insulin (MDI group) or basal insulin (not rapid-acting) (BIT group), acquisition of a CGM device between January 1, 2017, and September 30, 2022, and continuous enrollment in their health plan throughout the pre-index and post-index periods.

RESULTS

In the MDI group, all-cause inpatient hospitalization rates decreased from 3.25 to 2.29 events/patient-year (hazard ratio = 0.12; 95% CI = 0.11-0.13; P < 0.001) and emergency department visit rates decreased from 2.15 to 1.86 events/patient-year (hazard ratio = 0.52; 95% CI = 0.50-0.53; P < 0.001). In the BIT group, all-cause inpatient hospitalization rates decreased from 1.63 to 1.39 events/patient-year (hazard ratio = 0.11; 95% CI = 0.09-0.12; P < 0.001) and emergency department visit rates decreased from 1.60 to 1.43 events/patient-year (hazard ratio = 0.47; 95% CI = 0.44-0.50; P < 0.001).

CONCLUSIONS

Acquisition of CGM is associated with significant reductions in emergency department visits and all-cause hospitalizations among people with T2D treated with MDIs or BIT.

Best practices and rationale for expanding Medicaid access to continuous glucose monitoring

Numerous studies have demonstrated that use of continuous glucose monitoring (CGM) significantly improves overall glycemic control and reduces the frequency and severity of hypoglycemic events in individuals treated with intensive insulin, nonintensive insulin, and noninsulin therapies, with reductions in both all-cause and diabetes-related health care resource utilization and lower costs. However, implementation of CGM including prescribing and assessment of the ambulatory glucose profile to make clinical decisions in primary care settings is low. A recent pilot program was initiated at MetroHealth System (Cleveland, Ohio) to implement a CGM integration program for primary care offices throughout the system. Based on the experience and successes from this health system as well as current literature, rationale will be discussed to support the expansion of CGM to individuals enrolled in all Medicaid programs.

Using continuous glucose monitoring to measure and improve quality metrics: Updates on the Healthcare Effectiveness Data and Information Set 2024 Glucose Management Indicator measure

Value-based diabetes care is a proactive approach to providing quality care to individuals with diabetes. This approach focuses on improving clinical outcomes rather than the volume of services provided. Implementation of value-based diabetes care requires an established set of standardized quality measures against which all stakeholders can assess and benchmark their performance. The National Committee for Quality Assurance recently added the Glucose Management Indicator to its Healthcare Effectiveness Data and Information Set. The Glucose Management Indicator can be used as a measure of glucose control. This article discusses the benefits of value-based care, the importance of diabetes quality measures, and how the rapidly increasing adoption of continuous glucose monitoring is impacting these measures while improving the lives of individuals with diabetes.

Advances in diabetes technology within the digital diabetes ecosystem

Ongoing innovations in glucose monitoring, insulin delivery, and telehealth technologies have created a digital diabetes ecosystem populated by connected tools and technologies that have been shown to improve clinical outcomes, lower costs, and reduce the burden of diabetes. Advances in connected continuous glucose monitoring devices, insulin pumps, and insulin pens have led to the development of automated insulin delivery systems that modulate insulin infusion based on sensor glucose data. Similar integrations of continuous glucose monitoring and connected blood glucose meter data into "smart" pens have lessened the guesswork of intensive insulin management for individuals who prefer traditional injection therapy. A growing number of health apps that can be accessed through smartphones and wearable devices provide information and advice that support individuals in adopting healthier lifestyles. The differences in features and functionality give users the ability to select the devices that best meet their unique requirements and preferences. This article reviews the most current digital diabetes technologies and discusses how the connectivity of these tools can create an overarching architecture of feedback mechanisms that monitor an individual's health status, motivate and enhance adherence to self-management, and provide advice and decision-support tools to clinicians as well as other members of the health care team to make living with diabetes more manageable.

The Dexcom Community Glucose Monitoring Project: 6-Month Results Using Continuous Glucose Monitoring in Type 2 Diabetes

The Dexcom Community Glucose Monitoring Project is a collaborative, ongoing, primary care-driven public health initiative designed to provide continuous glucose monitoring (CGM) systems to adults with type 2 diabetes who lack health insurance coverage for CGM. After 6 months of program participation, mean A1C decreased by 2.4 ± 1.9% from baseline to 6-month follow-up (from 9.4 ± 1.7 to 7.1 ± 1.2%, P <0.001). There was a clinically meaningful and statistically significant improvement in CGM metrics as well. Greater CGM use in the primary care setting among people with type 2 diabetes may help patients successfully manage their diabetes.

Accuracy and Functionality of Select Continuous Glucose Monitoring Systems Are Not Impacted by Implantable Cardioverter Defibrillator Devices

BACKGROUND

Increasing numbers of individuals with diabetes are adopting use of continuous glucose monitoring (CGM) in their daily self-management. Many of these individuals have advanced heart disease. Implantable cardioverter defibrillator (ICD) devices can effectively reduce arrhythmic death and all-cause mortality in individuals with advanced heart disease. However, the potential impact of ICD devices on CGM system accuracy and functionality has not been well studied.

METHODS

This evaluation assessed whether FreeStyle Libre (FL) CGM systems can coexist and function within the same patient in the presence of wireless interference devices, including current ICD devices. Interferer sources included Wi-Fi devices, Bluetooth devices, cellular mobile devices, implantable medical devices, Bluetooth Low-Energy (BLE) devices, BLE accessory devices and BLE mobile devices, and ICD-programmer interferers. Five testing methodologies were used to evaluate the accuracy and functionality of the CGM systems when exposed to ICD functions: high-energy emergency shocking, pacing modes, anti-tachycardia pacing mode (ATP), and DC Fibber mode.

RESULTS

All acceptance criteria and testing requirements were met for the CGM and ICD system for wireless coexistence evaluation.

CONCLUSIONS

Our findings demonstrated that coexisting ICD devices and FL CGM systems provide safe and effective wireless communications with functional and accurate transfer of data during scenarios expected in clinical use.

Detection and Intervention: Use of Continuous Glucose Monitoring in the Early Stages of Type 2 Diabetes

The term "prediabetes" has been used to identify the state of abnormal glucose homeostasis (dysglycemia) that often leads to the development of clinical type 2 diabetes. However, this term does not describe the cellular changes that are already taking place in individuals with elevated glucose levels. This article describes our approach to detecting early dysglycemia using continuous glucose monitoring and explains how this approach can be integrated into clinical practice settings.

AMCP Market Insights Health Plan Best Practice: Implementing continuous glucose monitoring to improve patient outcomes in diabetes

Diabetes is a complex chronic condition that affects the body's ability to produce or use insulin effectively, resulting in elevated blood glucose levels. It is associated with various complications and comorbidities, significantly impacting both individuals and the health care system. Effective management involves a combination of lifestyle adjustments, medication adherence, monitoring, education, and support. The expanding use of continuous glucose monitoring (CGM) has been transformative in diabetes care, providing valuable real-time data and insights for better management. To understand the opportunity for health plans to support improved patient outcomes with CGM, AMCP sponsored a multifaceted approach to identify best practices consisting of expert interviews, a national payer survey, an expert panel workshop with clinical experts and managed care stakeholders, and a national webcast to communicate the program findings. This article summarizes current evidence for CGM to support managed care and payer professionals in making collaborative, evidence-based decisions to optimize outcomes among patients with diabetes. In addition, this review also presents the findings of a national payer survey and describes expert-supported health plan best practices around coverage and access to CGM.

IMpact of flash glucose Monitoring in pEople with type 2 Diabetes Inadequately controlled with non-insulin Antihyperglycaemic ThErapy (IMMEDIATE): A randomized controlled trial

AIM

To examine the efficacy and patient satisfaction of intermittently scanned continuous glucose monitoring (isCGM) in adults using non-insulin therapies for the management of type 2 diabetes.

MATERIALS AND METHODS

The IMMEDIATE study was a multisite, open label, randomized controlled trial with follow-up at 16 weeks. Adults with type 2 diabetes using at least one non-insulin therapy, with an HbA1c of 7.5% or higher (≥ 58 mmol/mol), were randomized 1:1 to receive an isCGM device plus diabetes self-management education (isCGM + DSME) or DSME alone. Enrolment occurred from 8 September 2020 to 24 December 2021. The primary outcome was percentage mean time in range (TIR), in the final 2-week period, measured via blinded CGM.

RESULTS

One hundred and sixteen participants were randomized (mean age, 58 years; diabetes duration, 10 years; mean HbA1c, 8.6% [70 mmol/mol]). At 16 weeks of follow-up, the isCGM and DSME arm had a significantly greater mean TIR by 9.9% (2.4 hours) (95% CI, -17.3% to -2.5%; P < .01), significantly less time above range by 8.1% (1.9 hours) (95% CI, 0.5% to 15.7%; P = .037), and a greater reduction in mean HbA1c by 0.3% (3 mmol/mol) (95% CI, 0% to 0.7%; P = .048) versus the DSME arm. Time below range was low and not significantly different between groups and hypoglycaemic events were few in both groups. Glucose monitoring satisfaction was higher among isCGM users (adjusted difference -0.5 [95% CI, -0.7 to -0.3], P < .01).

CONCLUSIONS

The IMMEDIATE study has shown that among non-insulin-treated individuals with type 2 diabetes, use of isCGM is associated with an improvement in glycaemic outcomes.

CVOT Summit 2022 Report: new cardiovascular, kidney, and glycemic outcomes

The 8th Cardiovascular Outcome Trial (CVOT) Summit on Cardiovascular, Kidney, and Glycemic Outcomes was held virtually on November 10-12, 2022. Following the tradition of previous summits, this reference congress served as a platform for in-depth discussion and exchange on recently completed outcomes trials as well as key trials important to the cardiovascular (CV) field. This year's focus was on the results of the DELIVER, EMPA-KIDNEY and SURMOUNT-1 trials and their implications for the treatment of heart failure (HF) and chronic kidney disease (CKD) with sodium-glucose cotransporter-2 (SGLT2) inhibitors and obesity with glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) receptor agonists. A broad audience of primary care physicians, diabetologists, endocrinologists, cardiologists, and nephrologists participated online in discussions on new consensus recommendations and guideline updates on type 2 diabetes (T2D) and CKD management, overcoming clinical inertia, glycemic markers, continuous glucose monitoring (CGM), novel insulin preparations, combination therapy, and reclassification of T2D. The impact of cardiovascular outcomes on the design of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) trials, as well as the impact of real-world evidence (RWE) studies on the confirmation of CVOT outcomes and clinical trial design, were also intensively discussed. The 9th Cardiovascular Outcome Trial Summit will be held virtually on November 23-24, 2023 ( http://www.cvot.org ).

Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non-Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data

BACKGROUND

The benefits of real-time continuous glucose monitoring (RT-CGM) are well established for patients with type 1 diabetes (T1D) and patients with insulin-treated type 2 diabetes (T2D). However, the usage and effectiveness of RT-CGM in the context of non-insulin-treated T2D has not been well studied.

OBJECTIVE

We aimed to assess glycemic metrics and rates of RT-CGM feature utilization in users with T1D and non-insulin-treated T2D.

METHODS

We retrospectively analyzed data from 33,685 US-based users of an RT-CGM system (Dexcom G6; Dexcom, Inc) who self-identified as having either T1D (n=26,706) or T2D and not using insulin (n=6979). Data included glucose concentrations, alarm settings, feature usage, and event logs.

RESULTS

The T1D cohort had lower proportions of glucose values in the 70 mg/dl to 180 mg/dl range than the T2D cohort (52.1% vs 70.8%, respectively), with more values indicating hypoglycemia or hyperglycemia and higher glycemic variability. Discretionary alarms were enabled by a large majority in both cohorts. The data sharing feature was used by 38.7% (10,327/26,706) of those with T1D and 10.4% (727/6979) of those with T2D, and the mean number of followers was higher in the T1D cohort. Large proportions of patients with T1D or T2D enabled and customized their glucose alerts. Retrospective analysis features were used by the majority in both cohorts (T1D: 15,783/26,706, 59.1%; T2D: 3751/6979, 53.8%).

CONCLUSIONS

Similar to patients with T1D, patients with non-insulin-treated T2D used RT-CGM system features, suggesting beneficial, routine engagement with data by patients and others involved in their care. Motivated patients with diabetes could benefit from RT-CGM coverage.