Welcome to the ATTD 2022 Interactive Program

The conference will officially run on Central European Summer Time (UTC+2) - Barcelona Time

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Displaying One Session

Session Type
Parallel Session
Date
Fri, 29.04.2022
Session Time
16:40 - 18:00
Room
Hall 114

CGM top tips - balancing the benefit/burden seesaw

Session Type
Parallel Session
Date
Fri, 29.04.2022
Session Time
16:40 - 18:00
Room
Hall 114
Lecture Time
16:40 - 17:00

Abstract

Abstract Body

Continuous glucose monitoring (CGM) is increasingly used amongst people with type 1 diabetes, type 2 diabetes and pre-diabetes as a tool to visualise glycemic patterns and excursions. The are widely reported clinical benefits across different systems and study designs. There are also a number of downsides that contribute to discontinuation of CGM use including increased visibility of disease state, alarm fatigue and interference in daily living. Effective onboarding of such systems, including exploration of personalised expectations and goals can mitigate these downsides. This presentation will explore benefits and burdens of CGM systems, as well as provide practical tips and advice on how to get the best out of them for improved physical and mental wellbeing.

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Which tech is right for me?

Session Type
Parallel Session
Date
Fri, 29.04.2022
Session Time
16:40 - 18:00
Room
Hall 114
Lecture Time
17:00 - 17:20

Why is my tech not giving me the results I want

Session Type
Parallel Session
Date
Fri, 29.04.2022
Session Time
16:40 - 18:00
Room
Hall 114
Lecture Time
17:20 - 17:40

Abstract

Abstract Body

When individuals grow discouraged or disappointed with their personal diabetes devices, such as an insulin pump or RT-CGM, it increases the possibility that they will at some point choose to quit their devices altogether. To address this potentially harmful decision in a proactive manner, we must seek to understand the the individual's underlying reasoning and, when needed, develop clear strategies for intervention. This presentation will review how such factors as unreasonable device expectations (e.g., 100% CGM accuracy), history of hypoglycemic fear, and problematic device-related hassles (e.g., alarm fatigue) can all lead to worry, discouragement and potential discontinuation. In addition, practical strategies for addressing these issues will be discussed.

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Behavioral advice given by artificial intelligence-based decision support

Session Type
Parallel Session
Date
Fri, 29.04.2022
Session Time
16:40 - 18:00
Room
Hall 114
Lecture Time
17:40 - 18:00