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Design of an Adaptable mHealth System Supporting a Psycho-educational Program for Pregnant Women with SGA Foetuses

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Advances in Conceptual Modeling (ER 2021)

Abstract

mHealth (mobile Health) systems are turning out very useful in their application to the Life Sciences as they can assist users in several ways by acquiring, storing, visualizing and processing information. These systems consist of hardware and software especially designed to provide required functionalities and properties in order to satisfy stakeholders’ needs. This is also of special importance in health as end-users can find in the use of ICTs (Information and Communication Technologies) a key help to address and improve treatment and recovery processes of physical and mental health. This paper presents the design of a mHealth system, which is intended to support a psycho-educational programme devised and supervised by health professionals for pregnant women (and their partners) with SGA (Small for Gestational Age) foetuses. We pay special attention to adaptation and usability properties to tailor the psycho-educational programme and facilitate its use by patients through structured and updated health information and tasks. It tries to avoid obstacles for technology acceptance. As a result, a prototype of the mHealth system has been developed and used by pregnant women and partners in a proof of concept; pregnant women were motivated and informed positive feedback.

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Acknowledgements

This work is funded by the Spanish Ministry of Science-Innovation (Agencia Estatal Investigación) through the project Ref. PID2019-109644RB-I00/AEI/https://doi.org/10.13039/501100011033, and the Andalusia Ministry of Health (Junta de Andalucía - Spain) through the project Ref. PC-0526-2016-0526.

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Correspondence to Sara Balderas-Díaz .

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Balderas-Díaz, S., Rodríguez-Fórtiz, M.J., Garrido, J.L., Bellido-González, M., Guerrero-Contreras, G. (2021). Design of an Adaptable mHealth System Supporting a Psycho-educational Program for Pregnant Women with SGA Foetuses. In: Reinhartz-Berger, I., Sadiq, S. (eds) Advances in Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13012. Springer, Cham. https://doi.org/10.1007/978-3-030-88358-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-88358-4_11

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