A psycho‑educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment
Metadata
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Balderas Díaz, Sara; Rodríguez Fórtiz, María José; Garrido Bullejos, José Luis; Bellido González, María MercedesEditorial
BMC
Materia
Pregnant women SGA foetus Proof of concept mHealth Usability Adaptation Data and structure modelling
Date
2022-11-11Referencia bibliográfica
Balderas-Díaz, S... [et al.]. A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment. BMC Med Inform Decis Mak 22 (Suppl 4), 291 (2022). [https://doi.org/10.1186/s12911-022-02036-9]
Sponsorship
MCIN/AEI PID2019-109644RB-I00; Andalusia Ministry of Health (Junta de Andalucia-Spain) PC-0526-20160526Abstract
Background: Technology-based approaches during pregnancy can facilitate the self-reporting of emotional health
issues and improve well-being. There is evidence to suggest that stress during pregnancy can affect the foetus
and result in restricted growth and preterm birth. Although a number of mobile health (mHealth) approaches are
designed to monitor pregnancy and provide information about a specific aspect, no proposal specifically addresses
the interventions in parents at risk of having small-for-gestational-age (SGA) or premature babies. Very few studies,
however, follow any design and usability guidelines which aim to ensure end-user satisfaction when using these
systems.
Results: We have developed an interactive, adaptable mHealth system to support a psycho-educational intervention
programme for parents with SGA foetuses. The relevant results include a metamodel to support the task of modelling
current or new intervention programmes, an mHealth system model with runtime adaptation to changes in the programme,
the design of a usable app (called VivEmbarazo) and an architectural design and prototype implementation.
The developed mHealth system has also enabled us to conduct a proof of concept based on the use of the mHealth
systems and this includes data analysis and assesses usability and acceptance.
Conclusions: The proof of concept confirms that parents are satisfied and that they are enthusiastic about the
mHealth-supported intervention programme. It helps to technically validate the results obtained in the other stages
relating to the development of the solution. The data analysis resulting from the proof of concept confirms that the stress experienced by parents who followed the mHealth-supported intervention programme was significantly lower
than among those who did not follow it. This implies an improvement in the emotional health not only of the parents
but also of their child. In fact, the babies of couples who followed the mHealth-supported programme weigh more
than the babies of couples under traditional care. In terms of user acceptance and usability, the analysis confirms that
mothers place greater value on the app design, usefulness and ease of use and are generally more satisfied than their
partners. Although these results are promising in comparison with more traditional and other more recent technology-
based approaches.