Ambient intelligence for long-term diabetes care (AmILCare). Qualitative analysis of patients' expectations and attitudes toward interactive technology
Endocrine
.
2021 Aug;73(2):472-475.
doi: 10.1007/s12020-021-02694-1.
Epub 2021 Mar 25.
Authors
Marina Trento
1
,
Marta Franceschini
2
,
Paolo Fornengo
2
,
Lucia Tricarico
2
,
Aurora Mazzeo
2
,
Stefania Bertello
3
,
Alessandra Clerico
3
,
Salvatore Oleandri
3
,
Mario Chiesa
4
,
Anna Di Leva
2
,
Lorena Charrier
5
,
Franco Cavallo
5
,
Massimo Porta
2
Affiliations
1
Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy. marina.trento@unito.it.
2
Laboratory of Clinical Pedagogy, Department of Medical Sciences, University of Turin, Turin, Italy.
3
Diabetes Unit, Azienda Sanitaria Città di Torino, Turin, Italy.
4
Links Foundation, Polytechnic University of Turin, Turin, Italy.
5
Department of Public Health and Paediatric Sciences, University of Turin, Turin, Italy.
PMID:
33768444
PMCID:
PMC7993083
DOI:
10.1007/s12020-021-02694-1
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Ambient Intelligence*
Attitude
Diabetes Mellitus* / therapy
Humans
Motivation
Technology