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.
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References
Busse, R., Blümel, M., Scheller-Kreinsen, D., Zentner, A.: Tackling Chronic Disease in Europe: Strategies, Interventions and Challenges. Observatory Studies Series No 20. World Health Organization, Copenhagen (2010)
Triberti, S., Barello, S.: The quest for engaging AmI: patient engagement and experience design tools to promote effective assisted living. J. Biomed. Inform. 63, 150–156 (2016)
Eysenbach, G.: Medicine 2.0: social networking, collaboration, participation, apomediation, and openness. J. Med. Internet Res. 10, 3 (2008)
Gaddi, A., Capello, F.: The debate over eHealth. In: Gaddi, A., Capello, F., Manca, M. (eds.) eHealth Care and Quality of Life. Springer, Heidelberg (2014). https://doi.org/10.1007/978-88-470-5253-6_1
Boulos, M.N.K., Wheeler, S., Tavares, C., Jones, R.: How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed. Eng. Online 10, 24 (2011)
Eland-de Kok, P., van Os-Medendorp, H., Vergouwe-Meijer, A., Bruijnzeel-Koomen, C., Ros, W.: A systematic review of the effects of e-health on chronically ill patients. J. Clin. Nurs. 20, 2997–3010 (2011)
Mohr, D.C., Burns, M.N., Schueller, S.M., Clarke, G., Klinkman, M.: Behavioral intervention technologies: evidence review and recommendations for future research in mental health. Gen. Hosp. Psychiat. 35(4), 332–338 (2013)
Dedding, C., van Doorn, R., Winkler, L., Reis, R.: How will e-health affect patient participation in the clinic? A review of e-health studies and the current evidence for changes in the relationship between medical professionals and patients. Soc. Sci. Med. 72, 49–53 (2011)
Glick, T.H., Moore, G.T.: Time to learn: the outlook for renewal of patient-centred education in the digital age. Med. Educ. 35(5), 505–509 (2001)
Barello, S., Triberti, S., Graffigna, G., Libreri, C., Serino, S., Hibbard, J., Riva, G.: eHealth for patient engagement: a systematic review. Front. Psychol. 6, 2013 (2016). https://doi.org/10.3389/fpsyg.2015.02013
Graffigna, G., Barello, S., Triberti, S.: Patient Engagement: A Consumer-Centered Model to Innovate Healthcare. De Gruyter Open, Berlin (2015)
Graffigna, G., Barello, S., Bonanomi, A., Lozza, E.: Measuring patient engagement: development and psychometric properties of the patient health engagement (PHE) scale. Front. Psychol. 6, 274 (2015)
Graffigna, G., Barello, S., Libreri, C., Bosio, C.A.: How to engage type-2 diabetic patients in their own health management: implications for clinical practice. BMC Public Health 14, 648 (2014)
Rossi, M.G., Bigi, S.: mHealth for diabetes support: a systematic review of apps available on the Italian market. mHealth 4, 3–16 (2017)
Rossi, M.G., Bigi, S.: Weak educational components in mHealth devices for diabetes support available on the Italian market. J. Diabetes Sci. Technol. 10(5), 1199 (2016)
Coleman, K., Austin, B.T., Brach, C., Wagner, E.H.: Evidence on the chronic care model in the new millennium. Health Affair 28(1), 75–85 (2009)
Alberti, K.G.M.M., Zimmet, P., Shaw, J.: International diabetes federation: a consensus on Type 2 diabetes prevention. Diabetic Med. 24(5), 451–463 (2007)
Yi, J., Nasukawa, T., Bunescu, R., Niblack, W.: Sentiment analyser: extraction sentiments about a given topic using natural language processing techniques. In: IEEE International Conference on Data Mining (ICDM), pp. 427–434 (2003)
Ferrucci, D.A.: Introduction to “This is Watson”. IBM J. Res. Develop. 56(3.4), 1:1–1:15 (2012)
High, R.: The era of cognitive systems: an inside look at IBM Watson and how it works. Int. Bus. Mach. Corporation 1(1), 1–14 (2012)
Barello, S., Graffigna, G., Vegni, E.: Patient engagement as an emerging challenge for healthcare services: mapping the literature. Nurs. Res. Pract. 2012, 1–7 (2012)
Graffigna, G., Barello, S., Triberti, S., Wiederhold, B.K., Bosio, A.C., Riva, G.: Enabling eHealth as a pathway for patient engagement: a toolkit for medical practice. Stud. Health Technol. Inform. 199, 13–21 (2014)
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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Triberti, S. et al. (2018). The ActiveAgeing Mobile App for Diabetes Self-management: First Adherence Data and Analysis of Patients’ in-App Notes. In: Cipresso, P., Serino, S., Ostrovsky, Y., Baker, J. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-030-01093-5_17
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