mHealth optimisation for education and physical activity in Type 1 diabetes: MEDPAT1.

Hall, J.; Stephen, K.; Croall, A.; MacMillan, J.; Murray, L.; Wiratunga, Nirmalie; Massie, Stewart; MacRury, S.

Abstract

Aims: To develop and evaluate usability of prototype personalised prediction algorithms for people with Type 1 diabetes to optimise blood glucose control associated with physical activity using smart phone technology. To explore the potential to build a knowledge repository founded on case-based reasoning and linkage with an online structured education programme that will increase confidence and levels of participation in physical activity.

Citation

HALL, J., STEPHEN, K., CROALL, A., MACMILLAN, J., MURRAY, L., WIRATUNGA, N., MASSIE, S. and MACRURY, S. 2017. mHealth optimisation for education and physical activity in Type 1 diabetes: MEDPAT1. Presented at the 2017 Diabetes UK professional conference, 8-10 March 2017, Manchester, UK.

• Presentation Conference Type: Poster
• Conference Name: 2017 Diabetes UK professional conference
• Start Date: Mar 8, 2017
• End Date: Mar 10, 2017
• Deposit Date: May 22, 2017
• Publicly Available Date: May 22, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: Type 1 diabetes; App; Facebook; Forum discussions; Personalised prediction algorithms; Blood glucose control
• Public URL: http://hdl.handle.net/10059/2332
• Contract Date: May 22, 2017