Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

<sec> <title>BACKGROUND</title> <p>Diabetes is a highly prevalent long-term condition with high levels of morbidity and mortality [1]. People with diabetes commonly worry about their diabetes medicines and do not always take them regularly as prescribed [2]. This can lead to poor diabetes control. The SuMMiT-D study aims to deliver brief messages as tailored interventions to support people with type 2 diabetes in better use of their diabetes medicines to improve treatment adherence and health outcomes.</p> </sec> <sec> <title>OBJECTIVE</title> <p>This paper describes the overall architecture of a message delivery system used in the pilot and feasibility studies of SuMMiT-D and reports its performance.</p> </sec> <sec> <title>METHODS</title> <p>The SuMMiT-D system includes several platforms and resources. Its core component is called the “clinical system”, and is responsible for interacting with the participants for personalisation and tailoring of messages through receiving and sending SMS text messages from and to them.</p> </sec> <sec> <title>RESULTS</title> <p>For the pilot study, a total of 48 participants were recruited; they had a median age of 64 years, Q_1,〖 Q〗_3=[54.5,69]. For the feasibility study, a total of 209 participants were recruited and randomised; they had a median age of 65 years, Q_1,Q_3=[56,71], with 41.15% female. The participants used the SuMMiT-D system for up to 6 months, and had a wide range of different interactions with the system.</p> </sec> <sec> <title>CONCLUSIONS</title> <p>A system was developed to successfully deliver brief messages as health interventions to more than 200 people with type 2 diabetes via SMS text messages.</p> </sec> <sec> <title>CLINICALTRIAL</title> <p>ISRCTN13404264</p> </sec>

Original publication

DOI

10.2196/preprints.18460

Type

Journal article

Publisher

JMIR Publications Inc.

Publication Date

03/03/2020