Discordant health beliefs and telehealth use in African Americans with diabetes

Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all?

Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide. In this article, we describe many of the origins of these barriers and offer recommendations on widening access to digital health technologies for underserved populations living with diabetes to improve their health outcomes.

A Roadmap to an Equitable Digital Diabetes Ecosystem

OBJECTIVES

Diabetes management presents a substantial burden to individuals living with the condition and their families, health care professionals, and health care systems. Although an increasing number of digital tools are available to assist with tasks such as blood glucose monitoring and insulin dose calculation, multiple persistent barriers continue to prevent their optimal use.

METHODS

As a guide to creating an equitable connected digital diabetes ecosystem, we propose a roadmap with key milestones that need to be achieved along the way.

RESULTS

During the Coronavirus 2019 pandemic, there was an increased use of digital tools to support diabetes care, but at the same time, the pandemic also highlighted problems of inequities in access to and use of these same technologies. Based on these observations, a connected diabetes ecosystem should incorporate and optimize the use of existing treatments and technologies, integrate tasks such as glucose monitoring, data analysis, and insulin dose calculations, and lead to improved and equitable health outcomes.

CONCLUSIONS

Development of this ecosystem will require overcoming multiple obstacles, including interoperability and data security concerns. However, an integrated system would optimize existing devices, technologies, and treatments to improve outcomes.

Interprofessional Intervention to Reduce Emergency Department Visits in Black Individuals with Diabetes

Black individuals with diabetes have high rates of emergency department (ED) use. This randomized controlled trial compared the efficacy of Diabetes Interprofessional Team to Enhance Adherence to Medical Care (DM I-TEAM) versus Usual Medical Care (UMC) to reduce number of return ED visits/hospitalizations over 12 months in 200 Black individuals with diabetes after an ED visit. DM I-TEAM consisted of community health worker-delivered diabetes education and behavior activation, telehealth visits with a diabetes nurse educator and primary care physicians, and clinical pharmacist recommendations to reduce potentially inappropriate medications (PIMs). Secondary outcomes included glycemic control, PIMs use, diabetes self-management, diabetes self-efficacy, depression, and medical trust. Participants had a mean age of 64.9 years and 73.0% were women. The 2 treatment groups were similar in baseline characteristics. Sixty-eight (69.4%) DM I-TEAM participants and 69 (67.6%) UMC participants had at least 1 incident ED visit/hospitalization over 12 months. The adjusted incidence rate ratio for DM I-TEAM versus UMC was 1.11 (95% confidence interval 0.79-1.56; P = 0.54). DM I-TEAM participants attained significantly better diabetes self-management, diabetes self-efficacy, and institutional trust than UMC participants. There were no treatment group differences in hemoglobin A1c level nor PIMs use. Among Black individuals with diabetes, a novel culturally relevant intervention was no better than usual care at preventing return ED visits/hospitalizations over 1 year. Before reasonable clinical interventions such as DM I-TEAM can be effective, reducing system-level barriers to health, building community health care capacity, and designing interventions that better align with the everyday realities of patients' lives are necessary. clinicaltrials.gov NCT03393338.