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

Stefano Triberti; Sarah Bigi; Maria Rossi; Amelia Caretto; Andrea Laurenzi; Nicoletta Dozio; Marina Scavini; Enrico Pergolizzi; Alessandro Ozzello; Silvia Serino; Giuseppe Riva

Pervasive Computing Paradigms for Mental Health. 7th International Conference, MindCare 2018, Boston, MA, USA, January 9–10, 2018, Proceedings

Research Article

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

Download

190 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-01093-5_17,
    author={Stefano Triberti and Sarah Bigi and Maria Rossi and Amelia Caretto and Andrea Laurenzi and Nicoletta Dozio and Marina Scavini and Enrico Pergolizzi and Alessandro Ozzello and Silvia Serino and Giuseppe Riva},
    title={The  Mobile App for Diabetes Self-management: First Adherence Data and Analysis of Patients’ in-App Notes},
    proceedings={Pervasive Computing Paradigms for Mental Health. 7th International Conference, MindCare 2018,  Boston, MA, USA, January 9--10, 2018, Proceedings},
    proceedings_a={MINDCARE},
    year={2018},
    month={10},
    keywords={eHealth Self-care Diabetes Adherence Personal notes Patient engagement},
    doi={10.1007/978-3-030-01093-5_17}
}

Stefano Triberti
Sarah Bigi
Maria Rossi
Amelia Caretto
Andrea Laurenzi
Nicoletta Dozio
Marina Scavini
Enrico Pergolizzi
Alessandro Ozzello
Silvia Serino
Giuseppe Riva
Year: 2018
The Mobile App for Diabetes Self-management: First Adherence Data and Analysis of Patients’ in-App Notes
MINDCARE
Springer
DOI: 10.1007/978-3-030-01093-5_17

Stefano Triberti¹^,*, Sarah Bigi¹^,*, Maria Rossi²^,*, Amelia Caretto³^,*, Andrea Laurenzi³^,*, Nicoletta Dozio³^,*, Marina Scavini³^,*, Enrico Pergolizzi⁴^,*, Alessandro Ozzello⁴^,*, Silvia Serino^,*, Giuseppe Riva^,*

1: Università Cattolica del Sacro Cuore
2: FCSH Nova University of Lisbon
3: Università Vita-Salute
4: ASL TO3

*Contact email: stefano.triberti@unicatt.it, sarah.bigi@unicatt.it, mgrazia.rossi@fcsh.unl.pt, caretto.amelia@hsr.it, laurenzi.andrea@hsr.it, dozio.nicoletta@hsr.it, scavini.marina@hsr.it, epergolizzi@aslto3.piemonte.it, aozzello@aslto3.piemonte.it, silvia.serino@unicatt.it, giuseppe.riva@unicatt.it

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 , 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

Published: 2018-10-11
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-01093-5_17

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

Abstract

About EAI

Community

Publish with EAI