Focus group methodology was chosen to obtain qualitative and quantitative data on participants' desire to use glucose advisory systems to manage their diabetes, their concerns about and desired features and functions of these systems, and their perceived confidence with behavioral event recording. At the outset of each interview, the personalized glucose advisory system (PGASystem) was described to participants as a system composed of a continuous glucose monitor (CGM) device and insulin pump, into which they would input daily information about their insulin, food, and physical activity. The system would then use their data to create personalized algorithms and advice about various aspects of their diabetes management, such as suggestions regarding bolus and basal rate dosing. The interview consisted of open-ended, multiple choice, and dichotomous questions.

Focus group methodology was chosen to obtain qualitative and quantitative data on participants' desire to use glucose advisory systems to manage their diabetes, their concerns about and desired features and functions of these systems, and their perceived confidence with behavioral event recording. At the outset of each interview, the personalized glucose advisory system (PGASystem) was described to participants as a system composed of a continuous glucose monitor (CGM) device and insulin pump, into which they would input daily information about their insulin, food, and physical activity. The system would then use their data to create personalized algorithms and advice about various aspects of their diabetes management, such as suggestions regarding bolus and basal rate dosing. The interview consisted of open-ended, multiple choice, and dichotomous questions.

The categories below indicate types of information that could be received from a PGASystem and the percentage of participants who stated that they would like to receive this type of information from a PGASystem.

The categories below indicate types of information that could be received from a PGASystem and the percentage of participants who stated that they would follow this type of advice from a PGASystem.

Behavioral: This is a field study that will investigate behavioral events (e.g. meals, exercise) in T1DM and daily glucose patterns using an insulin pump, continuous glucose monitoring (CGM) data, and frequent SMBG tagged with behavioral markers (recent food and activity). From these data, a learning algorithm - behavioral observer - will be able to track over time key recurrent elements, such as wake-up time, meals, exercise, and daily patterns of risks for hypo- or hyperglycemia. In future controllers, behavioral observation such as this will be used to forecast upcoming routine events, enabling open-loop and closed-loop control algorithms to deal with the probabilistic patterns of patients' self-treatment behavior.

The categories below indicate types of information that could be received from a PGASystem and the percentage of participants who stated that they would like to receive this type of information from a PGASystem.

Behavioral: This is a field study that will investigate behavioral events (e.g. meals, exercise) in T1DM and daily glucose patterns using an insulin pump, continuous glucose monitoring (CGM) data, and frequent SMBG tagged with behavioral markers (recent food and activity). From these data, a learning algorithm - behavioral observer - will be able to track over time key recurrent elements, such as wake-up time, meals, exercise, and daily patterns of risks for hypo- or hyperglycemia. In future controllers, behavioral observation such as this will be used to forecast upcoming routine events, enabling open-loop and closed-loop control algorithms to deal with the probabilistic patterns of patients' self-treatment behavior.