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Automatic messaging for improving patients engagement in diabetes management: an exploratory study.

作者信息

Fioravanti Alessio, Fico Giuseppe, Salvi Dario, García-Betances Rebeca I, Arredondo Maria Teresa

机构信息

Life Supporting Technologies (LifeSTech) Group, Universidad Politécnica de Madrid (UPM), 28040, Madrid, Spain.

出版信息

Med Biol Eng Comput. 2015 Dec;53(12):1285-94. doi: 10.1007/s11517-014-1237-8. Epub 2015 Jan 7.

DOI:10.1007/s11517-014-1237-8
PMID:25564181
Abstract

Mobile health systems aiming to promote adherence may cost-effectively improve the self-management of chronic diseases like diabetes, enhancing the compliance to the medical prescription, encouraging and stimulating patients to adopt healthy life styles and promoting empowerment. This paper presents a strategy for m-health applications in diabetes self-management that is based on automatic generation of feedback messages. A feedback assistant, representing the core of architecture, delivers dynamic and automatically updated text messages set up on clinical guideline and patient's lifestyle. Based on this strategy, an m-health adherence system was designed, developed and tested in a small-scale exploratory study with T1DM and T2DM patients. The results indicate that the system could be feasible and well accepted and that its usage increased along with adherence to prescriptions during the 4 weeks of the study. A more extensive research is pending to corroborate these outcomes and to establish a clear benefit of the proposed solution.

摘要

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