The Voice of Diabetes: A Mixed-methods Study on the Needs of People With Type 1 Diabetes and Their Caregivers to Co-design a Voice-based Digital Health Solution to Support Diabetes Distress Management

New technologies restore people with type 1 diabetes to a certain degree of independence and control over their lives while allowing medical providers to keep an overview of their patient's general health conditions and the evolution of their treatments. Notably, solutions integrating voice-processing technology appeared to be encouraging alternatives for remote monitoring.

Diabetes distress is a common condition in people living with type 1 diabetes. Diabetes distress is associated with poor metabolic control and low quality of life. Because voice analysis involves highly complex methods for processing audio features, this kind of development might also be capable of detecting subtle changes associated with psychological factors, like diabetes distress.

Nevertheless, digital health incorporation into the everyday lives of potential users might also imply a big challenge for many of them.

For this reason, studying the needs of the end-users of technological tools before defining any aspect of their design has become a critical step in developing this kind of technology.

The main objective of Psyvoice is to identify the preferences of people living with type 1 diabetes for voice-based digital health solutions for diabetes distress detection and control.