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https://doi.org/10.4...arrow_drop_down
https://doi.org/10.4018/979-8-...
Part of book or chapter of book . 2026 . Peer-reviewed
Data sources: Crossref
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
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Digital Technology Supporting Medication Adherence

The Mobili® Automatic Dose Dispenser in Portugal
Authors: Gregório, João; Marta, Barata Martins; Rodrigues, Marta de Oliveira; Ligia, Brito Reis; Paulo A.S., Moreira; Teixeira Rodrigues, António; Maia, Mélanie Raimundo; +1 Authors

Digital Technology Supporting Medication Adherence

Abstract

This chapter explores the complex relationship between medication adherence, digital health, and patient-centred care (PCC), with a focus on chronic multimorbidity and polypharmacy. It begins by addressing the conceptual evolution of adherence and its determinants, followed by a discussion of how digital technologies can support person-centred approaches to improve therapeutic outcomes. The chapter presents Mobili®, an innovative portable automated dispenser, and outlines the design and implementation of the MobiMAd@PT project in Portugal. Drawing on international evidence and implementation science frameworks, it analyses the usability, effectiveness, and scalability of such interventions. Emphasis is placed on co-design, contextual adaptation, and integrated care models involving community pharmacies. The chapter concludes by outlining best practices for future digital adherence strategies, highlighting the importance of collaborative, user-driven approaches to enhance healthcare quality and sustainability.

Keywords

Patient-Centered Care, Polypharmacy, Multimorbidity, Digital Health, Design Science Research Methodology, Automated Dose Dispensing, Medication Adherence, Implementation Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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