Impact of insulin delivery devices in diabetes care

Emerging diabetes therapies and technologies

The prevalence of diabetes is increasing globally and is expected to increase to 439 million people by the year 2030. Several studies have shown that improved glycemic control measured by glycosylated hemoglobin (A1c) in patients with type 1 and type 2 diabetes results in a reduction of both the micro- and macrovascular complications associated with the disease. The recent introduction of new oral medications, insulin analogs (long and rapid acting), insulin pens and pumps, better SMBG meters and continuous glucose monitoring (CGM) have all resulted in improvement of glycemic control. Closed-loop devices currently in development aim to integrate the CGM and pump system in order to more closely mimic the human pancreas. The other upcoming new basal insulin (Degludec), prandial insulin, other new technologies and improved oral therapies will significantly improve patient acceptance of intensive therapy, glycemic control and quality of life in patients with diabetes.

Closed-loop glucose control: psychological and behavioral considerations

Since 2000, the diabetes community has witnessed tremendous technological advances that have revolutionized diabetes management. Currently, closed-loop glucose control (CLC) systems, which link continuous subcutaneous insulin infusion and continuous glucose monitoring, are the newest, cutting edge technology aimed at reducing glycemic variability and improving daily management of diabetes. Although advances in knowledge and technology in the treatment of diabetes have improved exponentially, adherence to diabetes regimens remains complex and often difficult to predict. Human factors, such as patient perceptions and behavioral self-regulation, are central to adherence to prescribed regimens, as well as to adoption and utilization of diabetes technology, and they will continue to be crucial as diabetes management evolves. Thus, the aims of this article are three-fold: (1) to review psychological and behavioral factors that have influenced adoption and utilization of past technologies, (2) to examine three theoretical frameworks that may help in conceptualizing relevant patient factors in diabetes management, and (3) to propose patient-selection factors that will likely affect future CLC systems.