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The ActiveAgeing Mobile App for Diabetes Self-management: First Adherence Data and Analysis of Patients’ in-App Notes

  • Stefano Triberti
  • Sarah Bigi
  • Maria Grazia Rossi
  • Amelia Caretto
  • Andrea Laurenzi
  • Nicoletta Dozio
  • Marina Scavini
  • Enrico Pergolizzi
  • Alessandro Ozzello
  • Silvia Serino
  • Giuseppe Riva
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 253)

Abstract

The up-to-date treatment of diabetes often includes the adoption of technology (eHealth) to support patients’ self-management. This contribution features first data on patients’ usage of ActiveAgeing, a mobile app supporting daily self-management. Over 6 months, 15 elderly patients with type 2 diabetes (T2D) and 11 young women with gestational diabetes mellitus (GDM) received daily reminders to perform treatment activities, registered capillary glucose within the app, and added personal notes to explain abnormal values. While no differences emerged between the groups’ glucose registrations, T2D patients were more likely to add notes. Sentiment analysis with the software Watson on T2D patients’ notes and some selected notes are reported. Discussion highlights that notes may be used not only to explain abnormal data, but also to express emotions and confide personal information. eHealth presents opportunities not only for self-management, but also to empower and enrich trust between patients and health providers.

Keywords

eHealth Self-care Diabetes Adherence Personal notes Patient engagement 

Notes

Acknowledgments

The study reported in this publication was supported by a grant from Università Cattolica del Sacro Cuore of Milan. The title of the grant is: “Progetto di ricerca d’interesse per l’Ateneo, Linea D.3.2, Anno 2014” for the project titled “Tecnologia Positiva e Healthy Ageing”, PI: Giuseppe Riva; and also, by Fondazione Cariplo within the project “Active Aging and Healthy Living.”

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Stefano Triberti
    • 1
  • Sarah Bigi
    • 2
  • Maria Grazia Rossi
    • 3
  • Amelia Caretto
    • 4
  • Andrea Laurenzi
    • 4
  • Nicoletta Dozio
    • 4
  • Marina Scavini
    • 4
  • Enrico Pergolizzi
    • 5
  • Alessandro Ozzello
    • 5
  • Silvia Serino
    • 1
    • 6
  • Giuseppe Riva
    • 1
    • 6
  1. 1.Department of PsychologyUniversità Cattolica del Sacro CuoreMilanItaly
  2. 2.Department of Linguistic Sciences and Foreign LiteraturesUniversità Cattolica del Sacro CuoreMilanItaly
  3. 3.Institute of Philosophy of LanguageFCSH Nova University of LisbonLisbonPortugal
  4. 4.Department of Endocrinology and Metabolic Diseases, San Raffaele Scientific InstituteUniversità Vita-SaluteMilanItaly
  5. 5.Departmental Service of Endocrine Diseases and DiabetologyASL TO3Pinerolo, TurinItaly
  6. 6.Applied Technology for NeuroPsychology LaboratoryIstituto Auxologico ItalianoMilanItaly

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