2021
DOI: 10.2196/19073
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Mobile Health Intervention in the Maternal Care Pathway: Protocol for the Impact Evaluation of hAPPyMamma

Abstract: Background Mobile health (mHealth) has great potential to both improve the quality and efficiency of care and increase health literacy and empowerment of patient users. There are several studies related to the introduction of mHealth tools for supporting pregnancy and the postnatal period, with promising but not yet rigorously evaluated impacts. This article presents the protocol for evaluating an mHealth intervention (hAPPyMamma) applied in the maternal and child care pathway of a high-income coun… Show more

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Cited by 16 publications
(17 citation statements)
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“…The research group of the Management and Healthcare Laboratory of the Sant’Anna School, which have been already collaborating with the Regional Health Authority for the maternal care pathway monitoring and evaluation (Murante et al, 2014 ; Bonciani et al, 2020 ; Bonciani et al, 2021 ), proposed to coordinate an action-research intervention to cope with this criticality of the ACs interruption. The idea was to support the identification of a new model of ACs provision at the regional level thanks to the collaborative involvement of users and health professionals and enhancing the digital resources already present in Tuscany.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The research group of the Management and Healthcare Laboratory of the Sant’Anna School, which have been already collaborating with the Regional Health Authority for the maternal care pathway monitoring and evaluation (Murante et al, 2014 ; Bonciani et al, 2020 ; Bonciani et al, 2021 ), proposed to coordinate an action-research intervention to cope with this criticality of the ACs interruption. The idea was to support the identification of a new model of ACs provision at the regional level thanks to the collaborative involvement of users and health professionals and enhancing the digital resources already present in Tuscany.…”
Section: Methodsmentioning
confidence: 99%
“…The idea was to support the identification of a new model of ACs provision at the regional level thanks to the collaborative involvement of users and health professionals and enhancing the digital resources already present in Tuscany. Indeed, since March 2019 the Regional Health Authority promoted the implementation of hAPPyMamma system, which includes a mobile and web app for women and a web portal for operators, with specific but integrated functions for both (Bonciani et al, 2021 ). The app for users is a digital tool that accompanies women during pregnancy, childbirth and up to the child’s first year with the objective to facilitate the access to and use of the services and health opportunities of maternal care pathway.…”
Section: Methodsmentioning
confidence: 99%
“…Data were obtained from the questionnaires systematically and longitudinally collected by the MeS (Management and Health ) Laboratory of Sant'Anna School of Advanced Study of Pisa, Italy, and stored in the online platform of the same institution. This collection program was launched in 2019 by Sant'Anna School in collaboration with Tuscany Region and gradually integrated within the phone ApphAPPyMamma , which is the digital version of the Maternity Services Dataset of Tuscany, Italy (20).…”
Section: Study Design Data Source and Populationmentioning
confidence: 99%
“…The benefits of the routine collection of PREMs across the maternity care pathway, e.g. allowing healthcare authorities and providers to be aware of the quality of care along the whole care pathway as perceived by the patients, which helps identify gaps and insufficiencies in service provision, have been suggested in several studies by the Italian team [ 19 – 23 ]. However, more evidence-based, transferrable and practical knowledge about the implementation of this kind of system is needed for practitioners and researchers from other countries or institutions to integrate PRMs into local maternity care pathway.…”
Section: Introductionmentioning
confidence: 99%