J. Hall
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.
Authors
K. Stephen
A. Croall
J. MacMillan
L. Murray
Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
Professor
Dr Stewart Massie s.massie@rgu.ac.uk
Reader
S. MacRury
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 |
Conference Location | Manchester, UK |
Start Date | Mar 8, 2017 |
End Date | Mar 10, 2017 |
Deposit Date | May 22, 2017 |
Publicly Available Date | May 22, 2017 |
Keywords | Type 1 diabetes; App; Facebook; Forum discussions; Personalised prediction algorithms; Blood glucose control |
Public URL | http://hdl.handle.net/10059/2332 |
Files
HALL 2017 mHealth optimisation for education
(6.9 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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