Abstract
The widespread presence of Gestational Diabetes Mellitus (GDM) is increasing in recent years. Women with GDM have to continuously monitor their blood glucose levels to reduce pregnancy risks. Existing practices in Australia comprise monitoring the blood glucose levels by taking readings at least three times a day and then manually sending the readings to the healthcare professionals. This research proposes the use of a Mobile application that can streamline communications with healthcare professionals and provide users with health and diet recommendations to regulate blood glucose levels. The application is intended to be used mainly by women with gestational diabetes. It works by providing healthcare professional access to the glucose’s readings via the cloud. The app also provides diet and physical activities’ recommendations. It also allows users to join community support groups online where they can have access to frequently asked questions and can raise their own queries, which can be answered by healthcare professionals as well.
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References
Gestational diabetes – Diabetes Australia. https://www.diabetesaustralia.com.au/about-diabetes/gestational-diabetes/
Accenture: Accenture 2018 Consumer Survey on Digital Health
Alotaibi, M., Albalawi, M.: A mobile gestational diabetes management and educational system for gulf countries: system architecture. In: 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), pp. 193–196. IEEE, Shah Alam, Malaysia, August 2018. https://doi.org/10.1109/ICSGRC.2018.8657496, https://ieeexplore.ieee.org/document/8657496/
Ambroise, N., Boussonnie, S., Eckmann, A.: A smartphone application for chronic disease self-management. In: Proceedings of the 1st Conference on Mobile and Information Technologies in Medicine (2013)
Cho, N., Shaw, J.E., Karuranga, S., Huang, Y., da Rocha Fernandes, J.D., Ohlrogge, A.W., Malanda, B.: IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res. Clin. Pract. 138, 271–281 (2018)
Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., Edwards, P.: The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Res. Notes 3(1), 250 (2010). https://doi.org/10.1186/1756-0500-3-250, https://bmcresnotes.biomedcentral.com/articles/10.1186/1756-0500-3-250
Hirst, J.E., Mackillop, L., Loerup, L., Kevat, D.A., Bartlett, K., Gibson, O., Kenworthy, Y., Levy, J.C., Tarassenko, L., Farmer, A.: Acceptability and user satisfaction of a smartphone-based, interactive blood glucose management system in women with gestational diabetes mellitus. J. Diabetes Sci. Technol. 9(1), 111–115 (2015). https://doi.org/10.1177/1932296814556506
Homko, C.J., Santamore, W.P., Whiteman, V., Bower, M., Berger, P., Geifman-Holtzman, O., Bove, A.A.: Use of an internet-based telemedicine system to manage underserved women with gestational diabetes mellitus. Diabetes Technol. Therapeutics 9(3), 297–306 (2007). https://doi.org/10.1089/dia.2006.0034
Mackillop, L., Loerup, L., Bartlett, K., Farmer, A., Gibson, O.J., Hirst, J.E., Kenworthy, Y., Kevat, D.A., Levy, J.C., Tarassenko, L.: Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes. J. Diabetes Sci. Technol. 8(6), 1105–1114 (2014). https://doi.org/10.1177/1932296814542271
Mackillop, L.H., Bartlett, K., Birks, J., Farmer, A.J., Gibson, O.J., Kevat, D.A., Kenworthy, Y., Levy, J.C., Loerup, L., Tarassenko, L., Velardo, C., Hirst, J.E.: Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population. BMJ Open 6(3) (2016). https://doi.org/10.1136/bmjopen-2015-009702, https://bmjopen.bmj.com/content/6/3/e009702
Nielsen, J.: Usability Engineering. Morgan Kaufmann Publishers Inc., San Francisco (1994)
PĂ©rez-Ferre, N., Galindo, M., Fernández, M.D., Velasco, V., de la Cruz, M.J., MartĂn, P., del Valle, L., Calle-Pascual, A.L.: A Telemedicine system based on Internet and short message service as a new approach in the follow-up of patients with gestational diabetes. Diabetes Res. Clin. Pract. 87(2), e15–e17 (2010)
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Elkhodr, M., Ashokkumar, S., Alsinglawi, B., Darwish, O., Karajeh, O., Gide, E. (2021). A Cloud-Based Mobile Application for Women with Gestational Diabetes. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_51
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DOI: https://doi.org/10.1007/978-3-030-75078-7_51
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