Patient selection and educational preparation for the use of advanced technologies

Abstract

The integration of advanced technologies into diabetes management has substantially changed therapeutic possibilities and the everyday experience of people with diabetes. However, their implementation is still frequently linked to selection models based on identifying an “ideal patient,” with prior requirements regarding adherence, knowledge, or metabolic outcomes that may ultimately become barriers to access.

The current paradigm proposes shifting the question from “Is this person a candidate for a specific technology?” to “Which technology can add value for this person, at this particular time, and under what conditions?” Technology selection should consider clinical needs, preferences, individual goals, skills, treatment burden, psychosocial context, stage of life, accessibility, and expectations through a shared decision-making process. Within this framework, challenges such as self-management skills that are still developing, inconsistent use of previous technologies, or glycemic outcomes far from recommended targets should not automatically be interpreted as exclusion criteria. Instead, they may help identify specific educational and support needs.

Diabetes education is a cross-cutting component throughout this process. It should not be regarded as an isolated step before access to technology, nor does it end when a device is initiated. Education begins at diagnosis, accompanies every therapeutic change, and should continue throughout the implementation and sustained use of continuous glucose monitoring systems, insulin pumps, automated insulin delivery (AID) systems, and digital tools. Initial preparation should ensure safe use, while ongoing follow-up should progressively build competencies, autonomy, problem-solving skills, and strategies to adapt technology to real-life situations.

Preparation also involves more than the person with diabetes and their support network. The rapid evolution of diabetes technology requires specialist physicians and health care teams to develop and continuously update the competencies needed to select devices, provide education, interpret data, adjust therapy, and offer ongoing support.

Advanced technologies should therefore not be viewed as a reward granted after achieving predefined goals with conventional therapies, but rather as therapeutic tools that, when integrated with continuous education and appropriate follow-up, can reduce treatment burden, facilitate self-management, and improve both clinical and person-centered outcomes.