The aim of this study was to develop a peer-to-peer virtual intervention for patients with type 2 diabetes from different segments: patients who take several medications (medication group), patients who do not take diabetes medications (lifestyle group), and a mixed group. Preliminary results showed that patients in the lifestyle group were interested in preventive strategies, reporting better learning experience and higher motivation than those in the medication group. Future research is needed to design approaches tailored to patients in the medication group.

Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education

Paglialonga A;
2022

Abstract

The aim of this study was to develop a peer-to-peer virtual intervention for patients with type 2 diabetes from different segments: patients who take several medications (medication group), patients who do not take diabetes medications (lifestyle group), and a mixed group. Preliminary results showed that patients in the lifestyle group were interested in preventive strategies, reporting better learning experience and higher motivation than those in the medication group. Future research is needed to design approaches tailored to patients in the medication group.
2022
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
32nd Medical Informatics Europe (EFMI MIE 2022) Conference
294
125
126
http://www.scopus.com/record/display.url?eid=2-s2.0-85131106999&origin=inward
IOS Press
Amsterdam
PAESI BASSI
Sì, ma tipo non specificato
27-30/05/2022
Nizza, Francia
patient segmentation
diabetes
diabetes prevention
type 2 diabetes
AI
behavioral intervention
1
none
Paglialonga A.; Theal R.; Barber D.; Kyba R.; Guergachi A.; Keshavjee K.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/412557
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