ArticleEuropean heart journal. Digital health2026
Study design of the InTakeCare trial: a digital health solution to monitor and improve medication adherence in hypertensive patients.
Article in European heart journal. Digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
Aims: The InTakeCare Trial aims to develop, implement, and clinically validate a novel digital health solution (DHS) to improve medication adherence (MA) in patients with arterial hypertension. This initiative responds to the global issue of poor MA to long-term pharmacological treatments, compromising patient outcomes and increasing healthcare costs. Methods and results: This study is structured as a multidisciplinary, single-centre, randomized, open, blinded-endpoint clinical trial. In the preliminary phase, focus groups and a survey are conducted to develop patient personas and fictional archetypes that represent real people in the development of interventions, informing the personalization of a mobile application for patients and a web dashboard for physicians. The developed DHS is designed to deliver tailored reminders, health messages, and real-time monitoring of MA. After a pilot usability phase, 206 hypertensive patients will be randomized to standard care or active intervention for a 3-month period, followed by a 2-month observational phase to assess the persistence of intervention effects on adherence. MA is measured via direct (e.g. plasma drug levels) and indirect (e.g. self-reports) methods, alongside ambulatory blood pressure monitoring and behavioural engagement scales. Conclusion: This study offers a novel, theory-informed framework for the design of personalized DHS in chronic disease management. Leveraging user-centred design and machine learning-driven persona classification, InTakeCare introduces a scalable, evidence-based solution that addresses individual variability in adherence behaviours. The trial's findings are expected to generate insights into the efficacy, usability, and acceptability of personalized DHS in routine clinical practice, providing a replicable model for future DHS in other chronic conditions.
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