Diabetes Prevention Programs (DPPs) can prevent or delay type 2 diabetes (T2D). However, the participation rates in DPPs have been limited. Many individuals at risk of developing diabetes have difficulties making healthy choices because of the cognitive effort required to understand the risks, the role of biomarkers, the consequences of inaction and the actions required to delay or avoid development of T2D. We report on the design and development of a prototype digital tool that decreases cognitive effort for people at risk of developing T2D using the effort-optimized intervention framework.

Improving Shared Decision-Making Using Cognitive Effort-Optimization

Paglialonga A
2022

Abstract

Diabetes Prevention Programs (DPPs) can prevent or delay type 2 diabetes (T2D). However, the participation rates in DPPs have been limited. Many individuals at risk of developing diabetes have difficulties making healthy choices because of the cognitive effort required to understand the risks, the role of biomarkers, the consequences of inaction and the actions required to delay or avoid development of T2D. We report on the design and development of a prototype digital tool that decreases cognitive effort for people at risk of developing T2D using the effort-optimized intervention framework.
2022
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
diabetes prevention
AI
predictive models
shared decision making
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/412556
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