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|Title: ||Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes|
|Authors: ||Franklin, Victoria Louise|
Greene, Stephen Alan
|Keywords: ||Original Paper|
|Issue Date: ||30-Jun-2008|
|Publisher: ||Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada|
|Citation: ||Victoria Louise Franklin, Alexandra Greene, Annalu Waller, Stephen Alan Greene, Claudia Pagliari. Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes. J Med Internet Res 2008;10(2):e20 <URL: http://www.jmir.org/2008/2/e20/>|
|Abstract: ||[This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2008/2/e20/ ]
Guidelines for optimizing type 1 diabetes in young people advocate intensive insulin therapy coupled with personal support from the health care team. “Sweet Talk” is a novel intervention designed to support patients between clinic visits using text messages sent to a mobile phone. Scheduled messages are tailored to patient profiles and diabetes self-management goals, and generic messages include topical “newsletters” and anonymized tips from other participants. The system also allows patients to submit data and questions to the diabetes care team.
The aim was to explore how patients with type 1 diabetes interact with the Sweet Talk system in order to understand its utility to this user group.
Subjects were 64 young people with diabetes who were participating in the intervention arms of a randomized controlled trial. All text messages submitted to Sweet Talk during a 12-month period were recorded. Messaging patterns and content were analyzed using mixed quantitative and qualitative methods.
Patients submitted 1180 messages during the observation period (mean 18.4, median 6). Messaging frequency ranged widely between participants (0-240) with a subset of 5 high users contributing 52% of the total. Patients’ clinical and sociodemographic characteristics were not associated with total messaging frequency, although girls sent significantly more messages unrelated to diabetes than did boys (P = .002). The content of patients’ messages fell into 8 main categories: blood glucose readings, diabetes questions, diabetes information, personal health administration, social messages, technical messages, message errors, and message responses. Unprompted submission of blood glucose values was the most frequent incoming message type (35% of total). Responses to requests for personal experiences and tips generated 40% of all the incoming messages, while topical news items also generated good responses. Patients also used the service to ask questions, submit information about their self-management, and order supplies. No patients nominated supporters to receive text messages about their self-management goals. Another option that was not used was the birthday reminder service.
Automated, scheduled text messaging successfully engaged young people with diabetes. While the system was primarily designed to provide “push” support to patients, submission of clinical data and queries illustrates that it was seen as a trusted medium for communicating with care providers. Responses to the newsletters and submission of personal experiences and tips for circulation to other participants also illustrate the potential value of such interventions for establishing a sense of community. Although participants submitted relatively few messages, positive responses to the system suggest that most derived passive support from reading the messages. The Sweet Talk system could be readily adapted to suit other chronic disease models and age groups, and the results of this study may help to inform the design of future text message support interventions.|
|Description: ||Reviewer: Gammon, Deede|
Reviewer: Murray, Elizabeth
|Rights: ||© Victoria Louise Franklin, Alexandra Greene, Annalu Waller, Stephen Alan Greene, Claudia Pagliari. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.06.2008.
Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 1) the original work is properly cited, including full bibliographic details and the original article URL on www.jmir.org, and 2) this statement is included.|
|Appears in Collections:||Volume 10 (2008) |
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