Evidence map›Paper›PMID 42077382›Full record

ArticleEuropean heart journal. Digital health2026

Study design of the InTakeCare trial: a digital health solution to monitor and improve medication adherence in hypertensive patients.

Emanuele Tauro, Alessandra Gorini, Martina Vigorè, Lucia Zanotti, Alessandro Croce, Martino F Pengo, Davide Soranna, Antonella Zambon, Gianfranco Parati, Enrico Gianluca Caiani and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Emanuele TauroDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0003-4307-2461
Alessandra GoriniDipartimento di Scienze Cliniche e di Comunità, Dipartimento di Eccellenza 2023-2027, Università Degli Studi di Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-3216-1784
Martina VigorèPsyCaRe Lab, Istituti Clinici Scientifici Maugeri IRCCS, Milano, Camaldoli, Italy.ORCID https://orcid.org/0000-0001-9923-0508
Lucia ZanottiDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.
Alessandro CroceDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0003-3547-1913
Martino F PengoDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0002-4657-9172
Davide SorannaDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.
Antonella ZambonDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.
Gianfranco ParatiDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0001-9402-7439
Enrico Gianluca CaianiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-1770-6486
Grzegorz BiloDepartment of Cardiology, Istituto Auxologico Italiano IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0002-5104-9176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Digital healthHypertensionMedication adherencePersonasRandomized control trial

Identifiers

PMID42077382
PMCPMC13131980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.